F. G. Zöllner et al., “Kidney Segmentation in Renal Magnetic Resonance Imaging – Current Status and Prospects,” in IEEE Access, vol. 9, pp. 71577-71605, 2021, doi: 10.1109/ACCESS.2021.3078430.
Magnetic resonance imaging has achieved an increasingly important role in the clinical work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters have been proposed to diagnose CKD among them total kidney volume (TKV) which recently qualified as biomarker. Volume estimation in renal MRI is based on image segmentation of the kidney and/or its compartments. Beyond volume estimation renal segmentation supports also the quantification of other MR based parameters such as perfusion or filtration. The aim of the present article is to discuss the recent existing literature on renal image segmentation techniques and show today’s limitations of the proposed techniques that might hinder clinical translation. We also provide pointers to open source software related to renal image segmentation.
Published in: IEEE Access ( Volume: 9)
Page(s): 71577 – 71605
Date of Publication: 10 May 2021
Electronic ISSN: 2169-3536 DOI: 10.1109/ACCESS.2021.3078430
Funding Agency: 10.13039/501100000921-COST Action Magnetic Resonance Imaging Biomarkers for Chronic Kidney Disease (PARENCHIMA) through the European Cooperation in Science and Technology (COST); 10.13039/501100002347-Research Campus M2OLIE through by the German Federal Ministry of Education and Research (BMBF) within the Framework Forschungscampus: public–private partnership for Innovations; Slovenian Research Agency (ARRS), Research Programme Metrology and Biometric Systems; Trond Mohn Research Foundation to A.L. and M.K.;