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

Huixuan Wang, Jose E. Pulido, Yihua Song, Susan L. Furth, Changhe Tu, Caiming Zhang, Chunming Li, Gregory E. Tasian

Research output: Contribution to journalArticle


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.


ASJC Scopus subject areas

  • Medicine(all)

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