In vitro assessment of a 3D segmentation algorithm based on the belief functions theory in calculating renal volumes by MRI

AJR. American Journal of Roentgenology
Pierre-Hugues VivierJean-Nicolas Dacher

Abstract

Renal volumetry is an essential part of split renal function assessment in MR urography. The aim of this study was to assess the accuracy and repeatability of a 3D segmentation algorithm based on the belief functions theory for calculating renal volumes from MR images. The true volumes of 20 animal kidneys of various sizes were obtained by fluid displacement. Each kidney was examined using two different MR units. Three-dimensional proton density-weighted acquisitions with an incremental slice thickness were performed. The MR volume was then measured with a segmentation algorithm based on the belief functions theory. Two independent observers performed all segmentations twice. Accuracy, intraobserver variability, and interobserver variability were evaluated by the Bland-Altman method. The number and type of manual corrections were recorded as well as the entire processing time. The mean renal volume estimated by fluid displacement was 114 mL (range, 38-224 mL). With regard to the renal volumes obtained from assessments of adjacent axial MR images, the maximal SDs of the difference were 2.2 mL (accuracy), 0.6 mL (intraobserver variability), and 1.8 mL (interobserver variability). Segmentation of axial slices provided better accur...Continue Reading

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Citations

Feb 26, 2010·Pediatric Radiology·Pierre-Hugues VivierJean-Nicolas Dacher
Feb 26, 2010·Pediatric Radiology·Pierre-Hugues VivierJean-Nicolas Dacher
Jun 25, 2010·International Journal of Computer Assisted Radiology and Surgery·Benoît RosaJérôme Szewczyk
May 10, 2011·Journal de radiologie·P-H VivierJ-N Dacher
Apr 14, 2016·Nature Reviews. Nephrology·Nicolas GrenierChristian Combe
Oct 26, 2012·AJR. American Journal of Roentgenology·Frank G ZöllnerJarle Rørvik

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