Automatic renal segmentation for MR urography using 3D‐GrabCut and random forests

• Published in: Magnetic resonance in medicine Vol. 79; no. 3; pp. 1696 - 1707
• Main Authors: Yoruk, Umit, Hargreaves, Brian A., Vasanawala, Shreyas S.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.03.2018
• Subjects: Automation; Brain mapping; Children; dynamic contrast enhanced MRI; Glomerular filtration rate; Image processing; Image segmentation; Iterative methods; machine learning; Magnetic resonance imaging; Renal cortex; renal segmentation; Urography; renal segmentation; dynamic contrast enhanced MRI; machine learning; glomerular filtration rate

Purpose To introduce and evaluate a fully automated renal segmentation technique for glomerular filtration rate (GFR) assessment in children. Methods An image segmentation method based on iterative graph cuts (GrabCut) was modified to work on time‐resolved 3D dynamic contrast‐enhanced MRI data sets....