Subsegmentation of the Kidney in Experimental MR Images Using Morphology-Based Regions-of-Interest or Multiple-Layer Concentric Objects.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_56B781A0B366
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Subsegmentation of the Kidney in Experimental MR Images Using Morphology-Based Regions-of-Interest or Multiple-Layer Concentric Objects.
Journal
Methods in molecular biology
Author(s)
Riazy L., Milani B., Periquito J.S., Cantow K., Niendorf T., Pruijm M., Seeliger E., Pohlmann A.
ISSN
1940-6029 (Electronic)
ISSN-L
1064-3745
Publication state
Published
Issued date
2021
Peer-reviewed
Oui
Volume
2216
Pages
549-564
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Functional renal MRI promises access to a wide range of physiologically relevant parameters such as blood oxygenation, perfusion, tissue microstructure, pH, and sodium concentration. For quantitative comparison of results, representative values must be extracted from the parametric maps obtained with these different MRI techniques. To improve reproducibility of results this should be done based on regions-of-interest (ROIs) that are clearly and objectively defined.Semiautomated subsegmentation of the kidney in magnetic resonance images represents a simple but very valuable approach for the quantitative analysis of imaging parameters in multiple ROIs that are associated with specific anatomic locations. Thereby, it facilitates comparing MR parameters between different kidney regions, as well as tracking changes over time.Here we provide detailed step-by-step instructions for two recently developed subsegmentation techniques that are suitable for kidneys of small rodents: i) the placement of ROIs in cortex, outer and the inner medulla based on typical kidney morphology and ii) the division of the kidney into concentrically oriented layers.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers.
Keywords
Animals, Humans, Image Processing, Computer-Assisted/methods, Kidney/anatomy & histology, Kidney/physiology, Magnetic Resonance Imaging/methods, Software, Kidney, Magnetic resonance imaging (MRI), Mice, ROI, Rats, Segmentation
Pubmed
Web of science
Open Access
Yes
Create date
08/02/2021 10:09
Last modification date
22/01/2022 8:09
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