Automated Segmentation of Kidneys from MR Images in Patients with Autosomal Dominant Polycystic Kidney Disease

Clinical Journal of the American Society of Nephrology : CJASN
Youngwoo KimConsortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP)

Abstract

Our study developed a fully automated method for segmentation and volumetric measurements of kidneys from magnetic resonance images in patients with autosomal dominant polycystic kidney disease and assessed the performance of the automated method with the reference manual segmentation method. Study patients were selected from the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease. At the enrollment of the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease Study in 2000, patients with autosomal dominant polycystic kidney disease were between 15 and 46 years of age with relatively preserved GFRs. Our fully automated segmentation method was on the basis of a spatial prior probability map of the location of kidneys in abdominal magnetic resonance images and regional mapping with total variation regularization and propagated shape constraints that were formulated into a level set framework. T2-weighted magnetic resonance image sets of 120 kidneys were selected from 60 patients with autosomal dominant polycystic kidney disease and divided into the training and test datasets. The performance of the automated method in reference to the manual method was assessed by means of two metrics: Dice simi...Continue Reading

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Citations

Jan 8, 2018·Pediatric Nephrology : Journal of the International Pediatric Nephrology Association·Luc BreysemDjalila Mekahli
Jan 9, 2018·Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association·UNKNOWN EAF co-chairsUNKNOWN Roundtable participants
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Oct 11, 2017·Nature Reviews. Nephrology·Matthew B Lanktree, Arlene B Chapman
Apr 5, 2018·The Journal of Clinical Endocrinology and Metabolism·Frank BienaiméDominique Prié
Mar 24, 2021·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Alexander J DanielSusan T Francis

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