Radiol Artif Intell 2022 Mar 12;4(2):e210095. Epub 2022 Jan 12.
Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany (F.S., P.S., M.M., C.Z., C.S., K.R., N.B., A.K., J.D., A.A., M.K.); Department of Radiation Oncology (F.S., P.S., M.M., C.Z., C.S., K.R., N.B., A.K., J.D., A.A., M.K.) and National Center for Tumor Diseases (NCT) (F.S., P.S., M.M., C.Z., C.S., K.R., N.B., J.D., A.A., M.K.), Heidelberg University Hospital (UKHD), Heidelberg, Germany; German Cancer Consortium (DKTK) Core Center Heidelberg, Heidelberg, Germany (F.S., P.S., M.M., C.Z., C.S., K.R., J.D., A.A., M.K.); National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg, Germany (F.S., P.S., M.M., C.Z., C.S., K.R., N.B., A.K., J.D., A.A., M.K.); Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany (F.S., P.S., M.M., C.Z., C.S., K.R., N.B., J.D., A.A., M.K.); Department of Clinical Pathology, Suez Canal University, Ismailia, Egypt (M.M.); Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China (C.Z.); and The D-Laboratory and the M-Laboratory, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, the Netherlands (H.W., L.D., P.L.).
Purpose: To develop a model to accurately segment mouse lungs with varying levels of fibrosis and investigate its applicability to mouse images with different resolutions.
Materials And Methods: In this experimental retrospective study, a U-Net was trained to automatically segment lungs on mouse CT images. The model was trained ( = 1200), validated ( = 300), and tested ( = 154) on longitudinally acquired and semiautomatically segmented CT images, which included both healthy and irradiated mice (group A). Read More