Segmentation of renal parenchymal area from ultrasound images using level set evolution.

TitleSegmentation of renal parenchymal area from ultrasound images using level set evolution.
Publication TypeJournal Article
Year of Publication2014
AuthorsWang H, Pulido JE, Song Y, Furth SL, Tu C, Zhang C, Li C, Tasian GE
JournalConf Proc IEEE Eng Med Biol Soc
Volume2014
Pagination4703-6
Date Published2014
ISSN1557-170X
KeywordsAlgorithms, Humans, Image Processing, Computer-Assisted, Infant, Kidney, Kidney Tubules, Collecting, Male, Observer Variation, Reproducibility of Results
Abstract

This paper presents a framework for segmentation of renal parenchymal area from ultrasound images based on a 2-step level set method. We used distance regularized level set evolution method to partition the kidney boundary, followed by region-scalable fitting energy minimization method to segment the kidney collecting system, and determined renal parenchymal area by subtracting the area of the collecting system from the gross kidney area. The proposed method demonstrated excellent validity and low inter-observer variability.

DOI10.1109/EMBC.2014.6944674
Alternate JournalConf Proc IEEE Eng Med Biol Soc
PubMed ID25571042