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

doi:10.1109/EMBC.2014.6944674

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 journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	4703-4706
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume	2014
DOIs	https://doi.org/10.1109/EMBC.2014.6944674
State	Published - 2014
Externally published	Yes

ASJC Scopus subject areas

General Medicine

Access to Document

10.1109/EMBC.2014.6944674

Cite this

Wang, H., Pulido, J. E., Song, Y., Furth, S. L., Tu, C., Zhang, C., Li, C., & Tasian, G. E. (2014). Segmentation of renal parenchymal area from ultrasound images using level set evolution. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2014, 4703-4706. https://doi.org/10.1109/EMBC.2014.6944674

Segmentation of renal parenchymal area from ultrasound images using level set evolution. / Wang, Huixuan; Pulido, Jose E.; Song, Yihua et al.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2014, 2014, p. 4703-4706.

Research output: Contribution to journal › Article › peer-review

Wang, H, Pulido, JE, Song, Y, Furth, SL, Tu, C, Zhang, C, Li, C & Tasian, GE 2014, 'Segmentation of renal parenchymal area from ultrasound images using level set evolution', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, vol. 2014, pp. 4703-4706. https://doi.org/10.1109/EMBC.2014.6944674

Wang H, Pulido JE, Song Y, Furth SL, Tu C, Zhang C et al. Segmentation of renal parenchymal area from ultrasound images using level set evolution. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2014;2014:4703-4706. doi: 10.1109/EMBC.2014.6944674

@article{f8c9b3da91074e708b01526307095a1f,

title = "Segmentation of renal parenchymal area from ultrasound images using level set evolution",

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. ",

author = "Huixuan Wang and Pulido, {Jose E.} and Yihua Song and Furth, {Susan L.} and Changhe Tu and Caiming Zhang and Chunming Li and Tasian, {Gregory E.}",

year = "2014",

doi = "10.1109/EMBC.2014.6944674",

language = "English (US)",

volume = "2014",

pages = "4703--4706",

journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",

issn = "1557-170X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Segmentation of renal parenchymal area from ultrasound images using level set evolution

AU - Wang, Huixuan

AU - Pulido, Jose E.

AU - Song, Yihua

AU - Furth, Susan L.

AU - Tu, Changhe

AU - Zhang, Caiming

AU - Li, Chunming

AU - Tasian, Gregory E.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84943614617&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84943614617&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2014.6944674

DO - 10.1109/EMBC.2014.6944674

M3 - Article

C2 - 25571042

SN - 1557-170X

VL - 2014

SP - 4703

EP - 4706

JO - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

JF - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

ER -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this