Publications

Evaluation of Functional Marrow Irradiation Based on Skeletal Marrow Composition Obtained Using Dual-Energy Computed Tomography.
Int J Radiat Oncol Biol Phys 2016 Nov 6;96(3):679-87. Epub 2016 Jul 6.
Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota; Department of Therapeutic Radiology, University of Minnesota, Minneapolis, Minnesota; Department of Radiation Oncology, Beckman Research Institute, City of Hope, Duarte, California. Electronic address:

Fast Megavoltage Computed Tomography: A Rapid Imaging Method for Total Body or Marrow Irradiation in Helical Tomotherapy.
Int J Radiat Oncol Biol Phys 2016 Nov 6;96(3):688-95. Epub 2016 Jul 6.
Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota; Department of Therapeutic Radiology, University of Minnesota, Minneapolis, Minnesota; Department of Radiation Oncology and Beckman Research Institute, City of Hope, Duarte, California. Electronic address:

Computer-assisted delineation of lung tumor regions in treatment planning CT images with PET/CT image sets based on an optimum contour selection method.
J Radiat Res 2014 Nov 30;55(6):1153-62. Epub 2014 Jun 30.
Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

Similar-case-based optimization of beam arrangements in stereotactic body radiotherapy for assisting treatment planners.
Biomed Res Int 2013 2;2013:309534. Epub 2013 Nov 2.
Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka 8128582, Japan ; Department of Radiology, The University of Tokyo Hospital, Tokyo 1138655, Japan.

Computer-aided beam arrangement based on similar cases in radiation treatment-planning databases for stereotactic lung radiation therapy.
J Radiat Res 2013 May 18;54(3):569-77. Epub 2012 Dec 18.
Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.


Automated detection of multiple sclerosis candidate regions in MR images: false-positive removal with use of an ANN-controlled level-set method.
Radiol Phys Technol 2012 Jan 3;5(1):105-13. Epub 2011 Dec 3.
Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images.
Radiol Phys Technol 2011 Jan 30;4(1):61-72. Epub 2010 Sep 30.
Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.

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