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Tomography, Volume 8, Issue 4
August 2022 - 41 articles
Cover Story: Organ volume measurements are a key metric for managing many diseases, including autosomal dominant polycystic kidney disease (ADPKD), where disease severity is directly correlated with kidney volumes and liver and spleen are also affected. However, measuring organ volumes by manually contouring organ outlines on cross-sectional MRI or CT images is tedious and prone to operator variability. Here, we extend an open-source, 2D U-net deep learning ADPKD kidney segmentation pipeline to also automate measuring liver and spleen using radiologist-labeled T2-weighted images from 273 ADPKD subjects as the reference standard. This deep learning approach reduced radiologist time to perform multiorgan segmentations while also reducing measurement variability without sacrificing precision. View this paper
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Tomography - ISSN 2379-139X