1,332 results match your criteria International Journal of Computer Assisted Radiology and Surgery [Journal]


Patient 3D body pose estimation from pressure imaging.

Int J Comput Assist Radiol Surg 2018 Dec 14. Epub 2018 Dec 14.

Computer Aided Medical Procedures, Technische Universität München, Boltzmannstr 3, 85748, Garching, Germany.

Purpose: In-bed motion monitoring has become of great interest for a variety of clinical applications. Image-based approaches could be seen as a natural non-intrusive approach for this purpose; however, video devices require special challenging settings for a clinical environment. We propose to estimate the patient's posture from pressure sensors' data mapped to images. Read More

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http://link.springer.com/10.1007/s11548-018-1895-3
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http://dx.doi.org/10.1007/s11548-018-1895-3DOI Listing
December 2018
1 Read

Unsupervised pathology detection in medical images using conditional variational autoencoders.

Int J Comput Assist Radiol Surg 2018 Dec 12. Epub 2018 Dec 12.

Institute of Medical Informatics, University of Lübeck, Lübeck, Germany.

Purpose: Pathology detection in medical image data is an important but a rather complicated task. In particular, the big variability of the pathologies is a challenge to automatic detection methods and even to machine learning methods. Supervised algorithms would usually learn the appearance of a single pathological structure based on a large annotated dataset. Read More

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http://dx.doi.org/10.1007/s11548-018-1898-0DOI Listing
December 2018

Surgineering: a new type of collaboration among surgeons and engineers.

Int J Comput Assist Radiol Surg 2018 Dec 11. Epub 2018 Dec 11.

Chair of Micro Technology and Medical Device Technology, TUM Department of Mechanical Engineering, Technische Universität München, Boltzmannstraße 3, 85748, Garching bei München, Germany.

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http://dx.doi.org/10.1007/s11548-018-1893-5DOI Listing
December 2018
1 Read

Implementation of a semiautomatic method to design patient-specific instruments for corrective osteotomy of the radius.

Int J Comput Assist Radiol Surg 2018 Dec 10. Epub 2018 Dec 10.

Amsterdam UMC, Department of Biomedical Engineering and Physics, University of Amsterdam, Amsterdam Movement Sciences, 1105 AZ, Amsterdam, The Netherlands.

Purpose: 3D-printed patient-specific instruments (PSIs), such as surgical guides and implants, show great promise for accurate navigation in surgical correction of post-traumatic deformities of the distal radius. However, existing costs of computer-aided design and manufacturing process prevent everyday surgical use. In this paper, we propose an innovative semiautomatic methodology to streamline the PSIs design. Read More

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http://dx.doi.org/10.1007/s11548-018-1896-2DOI Listing
December 2018

ARENA: Inter-modality affine registration using evolutionary strategy.

Int J Comput Assist Radiol Surg 2018 Dec 10. Epub 2018 Dec 10.

PERFORM Centre, Concordia University, Montreal, Canada.

Purpose: Image fusion of different imaging modalities renders valuable information to clinicians. In this paper, we proposed an automatic multimodal registration method to register intra-operative ultrasound images (US) to preoperative magnetic resonance images (MRI) in the context of image-guided neurosurgery.

Methods: We employed refined correlation ratio as a similarity metric for our intensity-based image registration method. Read More

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http://dx.doi.org/10.1007/s11548-018-1897-1DOI Listing
December 2018

Reconstruction and positional accuracy of 3D ultrasound on vertebral phantoms for adolescent idiopathic scoliosis spinal surgery.

Int J Comput Assist Radiol Surg 2018 Dec 5. Epub 2018 Dec 5.

Department of Biomedical Engineering, University of Alberta, 1098 Research Transition Facility, 8308-114 Street, Edmonton, AB, T6G 2V2, Canada.

Purpose: Determine the positional, rotational and reconstruction accuracy of a 3D ultrasound system to be used for image registration in navigation surgery.

Methods: A custom 3D ultrasound for spinal surgery image registration was developed using Optitrack Prime 13-W motion capture cameras and a SonixTablet Ultrasound System. Temporal and spatial calibration was completed to account for time latencies between the two systems and to ensure accurate motion tracking of the ultrasound transducer. Read More

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http://link.springer.com/10.1007/s11548-018-1894-4
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http://dx.doi.org/10.1007/s11548-018-1894-4DOI Listing
December 2018
3 Reads

Automatic detection of perforator vessels using infrared thermography in reconstructive surgery.

Int J Comput Assist Radiol Surg 2018 Dec 5. Epub 2018 Dec 5.

Innovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.

Purpose: Knowing the location of the blood vessels supplying the skin and subcutaneous tissue is a requirement during the planning of tissue transfer in reconstructive surgery. Commonly used imaging techniques such as computed tomography angiography and indocyanine green angiography expose the patient to radiation or a contrast agent, respectively. Infrared thermal imaging was evaluated with success as a non-invasive alternative. Read More

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http://link.springer.com/10.1007/s11548-018-1892-6
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http://dx.doi.org/10.1007/s11548-018-1892-6DOI Listing
December 2018
4 Reads

A model-guided method for improving coronary artery tree extractions from CCTA images.

Int J Comput Assist Radiol Surg 2018 Nov 28. Epub 2018 Nov 28.

Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.

Purpose: Automatically extracted coronary artery trees (CATs) from coronary computed tomography angiography images could contain incorrect extractions which require manual corrections before they can be used in clinical practice. A model-guided method for improving the extracted CAT is described to automatically detect potential incorrect extractions and improve them.

Methods: The proposed method is a coarse-to-fine approach. Read More

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http://dx.doi.org/10.1007/s11548-018-1891-7DOI Listing
November 2018
2 Reads

Automated anatomical labeling of coronary arteries via bidirectional tree LSTMs.

Int J Comput Assist Radiol Surg 2018 Nov 27. Epub 2018 Nov 27.

CuraCloud Corporation, 999 3rd Ave, Ste 700, Seattle, WA, 98004, USA.

Purpose: Automated anatomical labeling facilitates the diagnostic process for physicians and radiologists. One of the challenges in automated anatomical labeling problems is the robustness to handle the large individual variability inherited in human anatomy. A novel deep neural network framework, referred to Tree Labeling Network (TreeLab-Net), is proposed to resolve this problem in this work. Read More

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http://dx.doi.org/10.1007/s11548-018-1884-6DOI Listing
November 2018
3 Reads

Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery.

Int J Comput Assist Radiol Surg 2018 Nov 27. Epub 2018 Nov 27.

Yale University School of Medicine, New Haven, USA.

Introduction: Twin-to-twin transfusion syndrome (TTTS) is a potentially lethal condition that affects pregnancies in which twins share a single placenta. The definitive treatment for TTTS is fetoscopic laser photocoagulation, a procedure in which placental blood vessels are selectively cauterized. Challenges in this procedure include difficulty in quickly identifying placental blood vessels due to the many artifacts in the endoscopic video that the surgeon uses for navigation. Read More

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http://link.springer.com/10.1007/s11548-018-1886-4
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http://dx.doi.org/10.1007/s11548-018-1886-4DOI Listing
November 2018
2 Reads

Computer-assisted planning for a concentric tube robotic system in neurosurgery.

Int J Comput Assist Radiol Surg 2018 Nov 27. Epub 2018 Nov 27.

Laboratory for Continuum Robotics, Leibniz Universität Hannover, Hanover, Germany.

Purpose: Laser-induced thermotherapy in the brain is a minimally invasive procedure to denature tumor tissue. However, irregularly shaped brain tumors cannot be treated using existing commercial systems. Thus, we present a new concept for laser-induced thermotherapy using a concentric tube robotic system. Read More

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http://dx.doi.org/10.1007/s11548-018-1890-8DOI Listing
November 2018

A robotic microsurgical forceps for transoral laser microsurgery.

Int J Comput Assist Radiol Surg 2018 Nov 21. Epub 2018 Nov 21.

Department of Advanced Robotics, Istituto Italiano di Tecnologia, Via Morego 30, 16163, Genoa, Italy.

Purpose: In transoral laser microsurgery (TLM), the close curved cylindrical structure of the laryngeal region offers functional challenges to surgeons who operate on its malignancies with rigid, single degree-of-freedom (DOF) forceps. These challenges include surgeon hand tremors, poor reachability, poor tissue surface perception, and reduced ergonomy in design. The integrated robotic microsurgical forceps presented here is capable of addressing the above challenges through tele-operated tissue manipulation in TLM. Read More

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http://link.springer.com/10.1007/s11548-018-1887-3
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http://dx.doi.org/10.1007/s11548-018-1887-3DOI Listing
November 2018
5 Reads

A computer vision technique for automated assessment of surgical performance using surgeons' console-feed videos.

Int J Comput Assist Radiol Surg 2018 Nov 20. Epub 2018 Nov 20.

A.T.L.A.S (Applied Technology Laboratory for Advanced Surgery) Program, Department of Urology, Roswell Park Comprehensive Cancer Center, Elm & Carlton St, Buffalo, NY, 14263, USA.

Purpose: To develop and validate an automated assessment of surgical performance (AASP) system for objective and computerized assessment of pelvic lymph node dissection (PLND) as an integral part of robot-assisted radical cystectomy (RARC) using console-feed videos recorded during live surgery.

Methods: Video recordings of 20 PLNDs were included. The quality of lymph node clearance was assessed based on the features derived from the computer vision process which include: the number and cleared area of the vessels/nerve (N-Vs); image median color map; and mean entropy (measures the level of disorganization) in the video frame. Read More

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http://dx.doi.org/10.1007/s11548-018-1881-9DOI Listing
November 2018
3 Reads

Robotically assisted long bone biopsy under MRI: cadaver study results.

Int J Comput Assist Radiol Surg 2018 Nov 19. Epub 2018 Nov 19.

Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Avenue, Washington, DC, USA.

Rationale And Objectives: We have designed and constructed an MR-safe robot made entirely of nonmetallic components with pneumatic actuators and optical encoders. The robot was developed to enable bone biopsies to be performed under magnetic resonance imaging (MRI) guidance in pediatric patients. The purpose of this study was to show the feasibility of using the robot for biopsy of the femur and tibia in a cadaver leg. Read More

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http://link.springer.com/10.1007/s11548-018-1889-1
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http://dx.doi.org/10.1007/s11548-018-1889-1DOI Listing
November 2018
2 Reads

"Deep-Onto" network for surgical workflow and context recognition.

Int J Comput Assist Radiol Surg 2018 Nov 16. Epub 2018 Nov 16.

Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy.

Purpose: Surgical workflow recognition and context-aware systems could allow better decision making and surgical planning by providing the focused information, which may eventually enhance surgical outcomes. While current developments in computer-assisted surgical systems are mostly focused on recognizing surgical phases, they lack recognition of surgical workflow sequence and other contextual element, e.g. Read More

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http://dx.doi.org/10.1007/s11548-018-1882-8DOI Listing
November 2018
1 Read

Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients.

Int J Comput Assist Radiol Surg 2018 Nov 14. Epub 2018 Nov 14.

Institute of Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.

Purpose: Deep convolutional neural networks in their various forms are currently achieving or outperforming state-of-the-art results on several medical imaging tasks. We aim to make these developments available to the so far unsolved task of accurate correspondence finding-especially with regard to image registration.

Methods: We propose a two-step hybrid approach to make deep learned features accessible to a discrete optimization-based registration method. Read More

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http://link.springer.com/10.1007/s11548-018-1888-2
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http://dx.doi.org/10.1007/s11548-018-1888-2DOI Listing
November 2018
5 Reads

Automatic bone segmentation in whole-body CT images.

Int J Comput Assist Radiol Surg 2018 Nov 13. Epub 2018 Nov 13.

Division of Medical Image Computing, Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 581, Heidelberg, Germany.

Purpose: Many diagnostic or treatment planning applications critically depend on the successful localization of bony structures in CT images. Manual or semiautomatic bone segmentation is tedious, however, and often not practical in clinical routine. In this paper, we present a reliable and fully automatic bone segmentation in whole-body CT scans of patients suffering from multiple myeloma. Read More

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http://link.springer.com/10.1007/s11548-018-1883-7
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http://dx.doi.org/10.1007/s11548-018-1883-7DOI Listing
November 2018
13 Reads

Robotic surgical rehearsal on patient-specific 3D-printed skull models for stereoelectroencephalography (SEEG).

Int J Comput Assist Radiol Surg 2018 Nov 13. Epub 2018 Nov 13.

Department of Neurosurgery, Ichan School of Medicine at Mount Sinai, New York, NY, USA.

Purpose: Medically refractory epilepsy patients commonly require surgical alternatives for diagnosis and treatment. Stereoelectroencephalography (SEEG) is a useful diagnostic procedure in seizure focus elucidation. Modern techniques involve the use of robotics and neuronavigation for SEEG. Read More

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http://dx.doi.org/10.1007/s11548-018-1885-5DOI Listing
November 2018

Dual-modality multi-atlas segmentation of torso organs from [F]FDG-PET/CT images.

Int J Comput Assist Radiol Surg 2018 Nov 2. Epub 2018 Nov 2.

Department of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning, China.

Purpose: Automated segmentation of torso organs from positron emission tomography/computed tomography (PET/CT) images is a prerequisite step for nuclear medicine image analysis. However, accurate organ segmentation from clinical PET/CT is challenging due to the poor soft tissue contrast in the low-dose CT image and the low spatial resolution of the PET image. To overcome these challenges, we developed a multi-atlas segmentation (MAS) framework for torso organ segmentation from 2-deoxy-2-[F]fluoro-D-glucose PET/CT images. Read More

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http://link.springer.com/10.1007/s11548-018-1879-3
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http://dx.doi.org/10.1007/s11548-018-1879-3DOI Listing
November 2018
6 Reads

Learning deep similarity metric for 3D MR-TRUS image registration.

Int J Comput Assist Radiol Surg 2018 Oct 31. Epub 2018 Oct 31.

Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.

Purpose: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive cancers. A key component of MR-TRUS fusion is image registration. However, it is very challenging to obtain a robust automatic MR-TRUS registration due to the large appearance difference between the two imaging modalities. Read More

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http://link.springer.com/10.1007/s11548-018-1875-7
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http://dx.doi.org/10.1007/s11548-018-1875-7DOI Listing
October 2018
6 Reads

Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model.

Int J Comput Assist Radiol Surg 2018 Oct 30. Epub 2018 Oct 30.

Electrical Engineering, Indian Institute of Technology, Kharagpur, India.

Purpose: To reduce the inter- and intra- rater variability as well as time and effort, a method for computer-assisted delineation of hematoma is proposed. Delineation of hematoma is done for further automated analysis such as the volume of hematoma, anatomical location of hematoma, etc. for proper surgical planning. Read More

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http://link.springer.com/10.1007/s11548-018-1873-9
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http://dx.doi.org/10.1007/s11548-018-1873-9DOI Listing
October 2018
2 Reads

Robust navigation support in lowest dose image setting.

Int J Comput Assist Radiol Surg 2018 Oct 28. Epub 2018 Oct 28.

Computer Aided Medical Procedures, Technische Universität München, Boltzmannstr 3, 85748, Garching, Germany.

Purpose: Clinical cardiac electrophysiology (EP) is concerned with diagnosis and treatment of cardiac arrhythmia describing abnormality or perturbation in the normal activation sequence of the myocardium. With the recent introduction of lowest dose X-ray imaging protocol for EP procedures, interventional image enhancement has gained crucial importance for the well-being of patients as well as medical staff.

Methods: In this paper, we introduce a novel method to detect and track different EP catheter electrodes in lowest dose fluoroscopic sequences based on [Formula: see text]-sparse coding and online robust PCA (ORPCA). Read More

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http://dx.doi.org/10.1007/s11548-018-1874-8DOI Listing
October 2018
1 Read

Classification of contrast-enhanced spectral mammography (CESM) images.

Int J Comput Assist Radiol Surg 2018 Oct 26. Epub 2018 Oct 26.

Sheba Medical Center, Ramat Gan, Israel.

Purpose: Contrast-enhanced spectral mammography (CESM) is a recently developed breast imaging technique. CESM relies on dual-energy acquisition following contrast agent injection to improve mammography sensitivity. CESM is comparable to contrast-enhanced MRI in terms of sensitivity, at a fraction of the cost. Read More

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http://link.springer.com/10.1007/s11548-018-1876-6
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http://dx.doi.org/10.1007/s11548-018-1876-6DOI Listing
October 2018
10 Reads

Multimodal image registration for liver radioembolization planning and patient assessment.

Int J Comput Assist Radiol Surg 2018 Oct 22. Epub 2018 Oct 22.

Fraunhofer Institute for Medical Image Computing, MEVIS, Lübeck, Germany.

Purpose: Multimodal imaging plays a key role in patient assessment and treatment planning in liver radioembolization. It will reach its full potential for convenient use in combination with deformable image registration methods. A registration framework is proposed for multimodal liver image registration of multi-phase CT, contrast-enhanced late-phase T1, T2, and DWI MRI sequences. Read More

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http://link.springer.com/10.1007/s11548-018-1877-5
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http://dx.doi.org/10.1007/s11548-018-1877-5DOI Listing
October 2018
3 Reads

Simulation study on X-ray phase contrast imaging with dual-phase gratings.

Int J Comput Assist Radiol Surg 2018 Oct 22. Epub 2018 Oct 22.

Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg, Martensstr. 3, 91058, Erlangen, Germany.

Purpose: Two phase gratings in an X-ray grating interferometers can solve several technical challenges for clinical use of X-ray phase contrast. In this work, we adapt and evaluate this setup design to clinical X-ray sources and detectors in a simulation study.

Methods: For a given set of gratings, we optimize the remaining parameter space of a dual-phase grating setup using a numerical wave front simulation. Read More

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http://dx.doi.org/10.1007/s11548-018-1872-xDOI Listing
October 2018

Interactive patient-customized curvilinear reformatting for improving neurosurgical planning.

Int J Comput Assist Radiol Surg 2018 Oct 20. Epub 2018 Oct 20.

School of Medical Sciences, University of Campinas, Rua Tessália Vieira de Camargo - 126, Cidade Universitária Zeferino Vaz, Campinas, São Paulo, 13083-887, Brazil.

Purpose: Visualizing a brain in its native space plays an essential role during neurosurgical planning because it allows the superficial cerebral veins and surrounding regions to be preserved. This paper describes the use of a visualization tool in which single gadolinium contrast-enhanced T1-weighted magnetic resonance imaging was applied in nondefective and nonresective skulls to promote visualization of important structures.

Methods: A curvilinear reformatting tool was applied on the supratentorial compartment to peel the tissues to the depth of the dura mater and thereby revealing cortical and vascular spatial relationships. Read More

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http://dx.doi.org/10.1007/s11548-018-1878-4DOI Listing
October 2018

A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model.

Int J Comput Assist Radiol Surg 2018 Oct 13. Epub 2018 Oct 13.

Pattern Recognition Laboratory, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany.

Purpose: With the recent introduction of fully assisting scanner technologies by Siemens Healthineers (Erlangen, Germany), a patient surface model was introduced to the diagnostic imaging device market. Such a patient representation can be used to automate and accelerate the clinical imaging workflow, manage patient dose, and provide navigation assistance for computed tomography diagnostic imaging. In addition to diagnostic imaging, a patient surface model has also tremendous potential to simplify interventional imaging. Read More

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http://link.springer.com/10.1007/s11548-018-1871-y
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http://dx.doi.org/10.1007/s11548-018-1871-yDOI Listing
October 2018
3 Reads

An oral and maxillofacial navigation system for implant placement with automatic identification of fiducial points.

Int J Comput Assist Radiol Surg 2018 Oct 13. Epub 2018 Oct 13.

School of Mechanical Engineering, Shanghai Jiao Tong University, Room 805, Dongchuan Road 800, Minhang District, Shanghai, 200240, China.

Purpose: Surgical navigation system (SNS) has been an important tool in surgery. However, the complicated and tedious manual selection of fiducial points on preoperative images for registration affects operational efficiency to large extent. In this study, an oral and maxillofacial navigation system named BeiDou-SNS with automatic identification of fiducial points was developed and demonstrated. Read More

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http://link.springer.com/10.1007/s11548-018-1870-z
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http://dx.doi.org/10.1007/s11548-018-1870-zDOI Listing
October 2018
3 Reads

Virtual downsizing for decision support in mitral valve repair.

Int J Comput Assist Radiol Surg 2018 Oct 6. Epub 2018 Oct 6.

Fraunhofer Institute for Medical Image Computing - MEVIS, Am Fallturm 1, 28359, Bremen, Germany.

Purpose: Various options are available for the treatment of mitral valve insufficiency, including reconstructive approaches such as annulus correction through ring implants. The correct choice of general therapy and implant is relevant for an optimal outcome. Additional to guidelines, decision support systems (DSS) can provide decision aid by means of virtual intervention planning and predictive simulations. Read More

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http://link.springer.com/10.1007/s11548-018-1868-6
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http://dx.doi.org/10.1007/s11548-018-1868-6DOI Listing
October 2018
11 Reads

Tactile sensor-based real-time clustering for tissue differentiation.

Int J Comput Assist Radiol Surg 2018 Oct 6. Epub 2018 Oct 6.

Department of Engineering Technology (INDI), Vrije Universiteit Brussel, Brussels, Belgium.

Purpose: Reliable intraoperative delineation of tumor from healthy brain tissue is essentially based on the neurosurgeon's visual aspect and tactile impression of the considered tissue, which is-due to inherent low brain consistency contrast-a challenging task. Development of an intelligent artificial intraoperative tactile perception will be a relevant task to improve the safety during surgery, especially when-as for neuroendoscopy-tactile perception will be damped or-as for surgical robotic applications-will not be a priori existent. Here, we present the enhancements and the evaluation of a tactile sensor based on the use of a piezoelectric tactile sensor. Read More

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http://dx.doi.org/10.1007/s11548-018-1869-5DOI Listing
October 2018
2 Reads

Real-time dual-modal vein imaging system.

Int J Comput Assist Radiol Surg 2018 Oct 5. Epub 2018 Oct 5.

University of Akron, ASEC 373, 235 Carroll St, Akron, OH, 44325, USA.

Purpose: In this paper, we present a vein imaging system to combine reflectance mode visible spectrum images (VIS) with transmission mode near-infrared (NIR) images in real time. Clear vessel localization is achieved in this manner with combined NIR-VIS dual-modal imaging.

Methods: Transmission and reflectance mode optical instrumentation is used to combine VIS and NIR images. Read More

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http://link.springer.com/10.1007/s11548-018-1865-9
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http://dx.doi.org/10.1007/s11548-018-1865-9DOI Listing
October 2018
3 Reads

Conditions for reliable grip force and jaw angle estimation of da Vinci surgical tools.

Int J Comput Assist Radiol Surg 2018 Oct 4. Epub 2018 Oct 4.

Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA.

Purpose: This work presents an estimation technique as well as corresponding conditions which are necessary to produce an accurate estimate of grip force and jaw angle on a da Vinci surgical tool using back-end sensors alone.

Methods: This work utilizes an artificial neural network as the regression estimator on a dataset acquired from custom hardware on the proximal and distal ends. Through a series of experiments, we test the effect of estimation accuracy due to change in operating frequency, using the opposite jaw, and using different tools. Read More

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http://dx.doi.org/10.1007/s11548-018-1866-8DOI Listing
October 2018
9 Reads

A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.

Int J Comput Assist Radiol Surg 2018 Oct 4. Epub 2018 Oct 4.

School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, 73019, USA.

Purpose: Accurately detecting and removing pectoral muscle areas depicting on mediolateral oblique (MLO) view mammograms are an important step to develop a computer-aided detection scheme to assess global mammographic density or tissue patterns. This study aims to develop and test a new fully automated, accurate and robust method for segmenting pectoral muscle in MLO mammograms.

Methods: The new method includes the following steps. Read More

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http://link.springer.com/10.1007/s11548-018-1867-7
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http://dx.doi.org/10.1007/s11548-018-1867-7DOI Listing
October 2018
7 Reads

Detecting drug-resistant tuberculosis in chest radiographs.

Int J Comput Assist Radiol Surg 2018 Dec 3;13(12):1915-1925. Epub 2018 Oct 3.

Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, 20894, USA.

Purpose: Tuberculosis is a major global health threat claiming millions of lives each year. While the total number of tuberculosis cases has been decreasing over the last years, the rise of drug-resistant tuberculosis has reduced the chance of controlling the disease. The purpose is to implement a timely diagnosis of drug-resistant tuberculosis, which is essential to administering adequate treatment regimens and stopping the further transmission of drug-resistant tuberculosis. Read More

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http://dx.doi.org/10.1007/s11548-018-1857-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223762PMC
December 2018
5 Reads

Development of intraoperative plantar pressure measuring system considering weight bearing axis.

Int J Comput Assist Radiol Surg 2018 Sep 26. Epub 2018 Sep 26.

University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1138656, Japan.

Purpose: Surgical reconstructions in three dimensions are needed for treatment of foot and ankle deformities. However, surgical results might be influenced by the skill and experience of doctors which complement the limited information for reconstructions in three dimensions. To solve these, studies were carried out to measure plantar pressure distribution during surgery. Read More

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http://dx.doi.org/10.1007/s11548-018-1862-zDOI Listing
September 2018

Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery.

Int J Comput Assist Radiol Surg 2018 Dec 25;13(12):1959-1970. Epub 2018 Sep 25.

Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX, 75080, USA.

Purpose: With the advent of robot-assisted surgery, the role of data-driven approaches to integrate statistics and machine learning is growing rapidly with prominent interests in objective surgical skill assessment. However, most existing work requires translating robot motion kinematics into intermediate features or gesture segments that are expensive to extract, lack efficiency, and require significant domain-specific knowledge.

Methods: We propose an analytical deep learning framework for skill assessment in surgical training. Read More

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http://link.springer.com/10.1007/s11548-018-1860-1
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http://dx.doi.org/10.1007/s11548-018-1860-1DOI Listing
December 2018
6 Reads

GTCreator: a flexible annotation tool for image-based datasets.

Int J Comput Assist Radiol Surg 2018 Sep 25. Epub 2018 Sep 25.

Computer Vision Center and Universitat Autonòma de Barcelona, Barcelona, Spain.

Purpose: Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use. Read More

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http://dx.doi.org/10.1007/s11548-018-1864-xDOI Listing
September 2018
2 Reads

The use of a custom-made virtual template for corrective surgeries of asymmetric patients: proof of principle and a multi-center end-user survey.

Int J Comput Assist Radiol Surg 2018 Sep 24. Epub 2018 Sep 24.

School of Dentistry, University of Michigan, 1011 North University Avenue, Ann Arbor, MI, 48109, USA.

Aim: To evaluate the utility of an individualized template for corrective surgeries for patients suffering from mandibular asymmetry.

Materials And Method: Twenty patients with history of favorable clinical outcome of the correction of their mandibular asymmetry were chosen. CBCTs were taken before and 6 weeks postoperative using NewTom 3G. Read More

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http://link.springer.com/10.1007/s11548-018-1858-8
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http://dx.doi.org/10.1007/s11548-018-1858-8DOI Listing
September 2018
4 Reads

Automatic estimation of the aortic lumen geometry by ellipse tracking.

Int J Comput Assist Radiol Surg 2018 Sep 22. Epub 2018 Sep 22.

Complejo Hospitalario Universitario de Santiago (CHUS), Santiago de Compostela, Spain.

Purpose: The shape and size of the aortic lumen can be associated with several aortic diseases. Automated computer segmentation can provide a mechanism for extracting the main features of the aorta that may be used as a diagnostic aid for physicians. This article presents a new fully automated algorithm to extract the aorta geometry for either normal (with and without contrast) or abnormal computed tomography (CT) cases. Read More

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http://dx.doi.org/10.1007/s11548-018-1861-0DOI Listing
September 2018

3D modelling of non-intestinal colorectal anatomy.

Int J Comput Assist Radiol Surg 2018 Sep 22. Epub 2018 Sep 22.

School of Design, University of Limerick, F2-022 Foundation Building, Castletroy, Co. Limerick, Ireland.

Purpose: There is a paucity of methods to model soft anatomical tissues. Accurate modelling of these tissues can be difficult with current medical imaging technology.

Methods: The aim of this research was to develop a methodology to model non-intestinal colorectal tissues that are not readily identifiable radiologically to enhance contextual understanding of these tissues and inform medical device design. Read More

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http://dx.doi.org/10.1007/s11548-018-1863-yDOI Listing
September 2018

Influence of fiber connectivity in simulations of cardiac biomechanics.

Int J Comput Assist Radiol Surg 2018 Sep 19. Epub 2018 Sep 19.

Barcelona Supercomputing Center, BSC-CNS, Barcelona, Spain.

Purpose: Personalized computational simulations of the heart could open up new improved approaches to diagnosis and surgery assistance systems. While it is fully recognized that myocardial fiber orientation is central for the construction of realistic computational models of cardiac electromechanics, the role of its overall architecture and connectivity remains unclear. Morphological studies show that the distribution of cardiac muscular fibers at the basal ring connects epicardium and endocardium. Read More

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http://dx.doi.org/10.1007/s11548-018-1849-9DOI Listing
September 2018

ImFEATbox: a toolbox for extraction and analysis of medical image features.

Int J Comput Assist Radiol Surg 2018 Dec 18;13(12):1881-1893. Epub 2018 Sep 18.

Department of Radiology, University Hospital of Tübingen, Tübingen, Germany.

Purpose: In medical imaging, the digital post-processing and analysis of acquired images has become an important research field. Topics include various applications of image processing and machine learning aiming to assist radiologists in their diagnostic work. A crucial step in successfully implementing such systems is finding appropriate mathematical descriptions to reflect characteristics of acquired images. Read More

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http://dx.doi.org/10.1007/s11548-018-1859-7DOI Listing
December 2018
1 Read

Comparative analysis of surgical processes for image-guided endoscopic sinus surgery.

Int J Comput Assist Radiol Surg 2018 Sep 8. Epub 2018 Sep 8.

Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.

Purpose: This study proposes a method to analyze surgical performance by modeling, aligning, and comparing surgical processes. This method is intended to serve as a means to support the enhancement of surgical skills for endoscopic sinus surgeries (ESSs). We focus on surgical navigation systems used in image-guided ESSs and aim to construct a comparative analysis method for surgical processes based on the information about the surgical instruments motion obtained from the navigation system. Read More

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http://dx.doi.org/10.1007/s11548-018-1855-yDOI Listing
September 2018

FCN-based approach for the automatic segmentation of bone surfaces in ultrasound images.

Int J Comput Assist Radiol Surg 2018 Nov 7;13(11):1707-1716. Epub 2018 Sep 7.

CHU Brest, Brest, 29200, France.

Purpose: A new algorithm, based on fully convolutional networks (FCN), is proposed for the automatic localization of the bone interface in ultrasound (US) images. The aim of this paper is to compare and validate this method with (1) a manual segmentation and (2) a state-of-the-art method called confidence in phase symmetry (CPS).

Methods: The dataset used for this study was composed of 1738 US images collected from three volunteers and manually delineated by three experts. Read More

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http://dx.doi.org/10.1007/s11548-018-1856-xDOI Listing
November 2018
11 Reads

Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications.

Int J Comput Assist Radiol Surg 2018 Nov 1;13(11):1697-1706. Epub 2018 Sep 1.

Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.

Purpose: To develop and validate a fully automatic method for segmentation of paraspinal muscles from 3D torso CT images.

Methods: We propose a novel learning-based method to address this challenging problem. Multi-scale iterative random forest classifications with multi-source information are employed in this study to speed up the segmentation and to improve the accuracy. Read More

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http://dx.doi.org/10.1007/s11548-018-1852-1DOI Listing
November 2018
1 Read

MR-conditional steerable needle robot for intracerebral hemorrhage removal.

Int J Comput Assist Radiol Surg 2018 Sep 1. Epub 2018 Sep 1.

Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.

Background: Intracerebral hemorrhage (ICH) is one of the deadliest forms of stroke in the USA. Conventional surgical techniques such as craniotomy or stereotactic aspiration disrupt a large volume of healthy brain tissue in their attempts to reach the surgical site. Consequently, the surviving patients suffer from debilitating complications. Read More

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http://dx.doi.org/10.1007/s11548-018-1854-zDOI Listing
September 2018

Standard navigation versus intraoperative computed tomography navigation in upper cervical spine trauma.

Int J Comput Assist Radiol Surg 2018 Aug 31. Epub 2018 Aug 31.

Department of Neurosurgery, University of Marburg, Baldingerstrasse, 35043, Marburg, Germany.

Purpose: In surgery of C1-C2 fractures, standard navigation for screw placement based on preoperative image data was compared with intraoperative imaging guidance applying intraoperative computed tomography (iCT) with a special focus on accuracy of screw placement, workflow, and radiation exposure.

Methods: A single surgeon series of 16 consecutive patients with C1-C2 trauma was retrospectively analyzed. Seven patients were operated with standard navigation; preoperative image data were registered by a 20-point surface-matching process for each vertebra. Read More

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http://link.springer.com/10.1007/s11548-018-1853-0
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http://dx.doi.org/10.1007/s11548-018-1853-0DOI Listing
August 2018
8 Reads

Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.

Int J Comput Assist Radiol Surg 2018 Dec 29;13(12):1905-1913. Epub 2018 Aug 29.

Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan.

Purpose: Convolutional neural networks have become rapidly popular for image recognition and image analysis because of its powerful potential. In this paper, we developed a method for classifying subtypes of lung adenocarcinoma from pathological images using neural network whose that can evaluate phenotypic features from wider area to consider cellular distributions.

Methods: In order to recognize the types of tumors, we need not only to detail features of cells, but also to incorporate statistical distribution of the different types of cells. Read More

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http://dx.doi.org/10.1007/s11548-018-1835-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223755PMC
December 2018
5 Reads

Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters.

Int J Comput Assist Radiol Surg 2018 Nov 29;13(11):1781-1793. Epub 2018 Aug 29.

Department of Neuroradiology, University Hospital of Magdeburg, Magdeburg, Germany.

Purpose: Morphological parameters of intracranial aneurysms (IAs) are well established for rupture risk assessment. However, a manual measurement is error-prone, not reproducible and cumbersome. For an automatic extraction of morphological parameters, a 3D neck curve reconstruction approach to delineate the aneurysm from the parent vessel is required. Read More

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http://dx.doi.org/10.1007/s11548-018-1848-xDOI Listing
November 2018

Design and evaluation of a new bioelectrical impedance sensor for micro-surgery: application to retinal vein cannulation.

Int J Comput Assist Radiol Surg 2018 Aug 23. Epub 2018 Aug 23.

Department of Mechanical Engineering, KU Leuven - University of Leuven, Louvain, Belgium.

Purpose: Nowadays, millions of people suffer from retinal vein occlusion, a blind-making eye disease. No curative treatment currently exists for this vascular disorder. However, a promising treatment consists in injecting a thrombolytic drug directly inside the affected retinal vessel. Read More

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http://dx.doi.org/10.1007/s11548-018-1850-3DOI Listing
August 2018
1 Read