Cortexpert: A Model-Based Method For Automatic Renal Cortex Segmentation

Keywords

Cortex model adaptation; Non-uniform graph search; Renal cortex

Abstract

This paper introduces a model-based approach for a fully automatic delineation of kidney and cortex tissue from contrast-enhanced abdominal CT scans. The proposed framework, named CorteXpert, consists of two new strategies for kidney tissue delineation: cortex model adaptation and non-uniform graph search. CorteXpert was validated on a clinical data set of 58 CT scans using the cross-validation evaluation strategy. The experimental results indicated the state-of-the-art segmentation accuracies (as dice coefficient): 97.86% ± 2.41% and 97.48% ± 3.18% for kidney and renal cortex delineations, respectively.

Publication Date

12-1-2017

Publication Title

Medical Image Analysis

Volume

42

Number of Pages

257-273

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.media.2017.06.010

Socpus ID

85028886049 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85028886049

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