Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics

Quantification of renal perfusion based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) requires determination of signal intensity time courses in the region of renal parenchyma. Thus, selection of voxels representing the kidney must be accomplished with special care and constitute...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Artur Klepaczko, Eli Eikefjord, Arvid Lundervold
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Subjects:	dynamic contrast-enhanced MRI convolutional neural networks kidney segmentation pharmocokinetic modeling perfusion quantification glomerular filtration rate
Online Access:	https://www.mdpi.com/1424-8220/21/20/6714