Liver segmentation on abdominal CT images

Hong Song; Chunmeng Zhang; Xiaochuan Huang; Jiajia Li

Liver segmentation on abdominal CT images

Hong Song^*, Chunmeng Zhang, Xiaochuan Huang, Jiajia Li

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

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

Abstract

For liver segmentation on abdominal CT images, a novel algorithm is proposed which is based on the threshold method and modified GGVF-Snake model. Firstly, the CT image is converted into grayscale by using Window-Leveling algorithm, and then Modified Curvature anisotropic diffusion filter is applied. Secondly, a threshold method is used to obtain the initial contour of liver. Finally, the accurate liver boundary is obtained by using a modified GGVF-Snake model. Experimental results show that the proposed algorithm can be applied to the segmentation of liver on abdominal CT images effectively.

Original language	English
Pages (from-to)	82-87
Number of pages	6
Journal	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume	45
Issue number	9
Publication status	Published - Sept 2013

Keywords

Abdominal CT images
GGVF-snake
Liver segmentation

Cite this

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title = "Liver segmentation on abdominal CT images",

abstract = "For liver segmentation on abdominal CT images, a novel algorithm is proposed which is based on the threshold method and modified GGVF-Snake model. Firstly, the CT image is converted into grayscale by using Window-Leveling algorithm, and then Modified Curvature anisotropic diffusion filter is applied. Secondly, a threshold method is used to obtain the initial contour of liver. Finally, the accurate liver boundary is obtained by using a modified GGVF-Snake model. Experimental results show that the proposed algorithm can be applied to the segmentation of liver on abdominal CT images effectively.",

keywords = "Abdominal CT images, GGVF-snake, Liver segmentation",

author = "Hong Song and Chunmeng Zhang and Xiaochuan Huang and Jiajia Li",

year = "2013",

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language = "English",

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TY - JOUR

T1 - Liver segmentation on abdominal CT images

AU - Song, Hong

AU - Zhang, Chunmeng

AU - Huang, Xiaochuan

AU - Li, Jiajia

PY - 2013/9

Y1 - 2013/9

N2 - For liver segmentation on abdominal CT images, a novel algorithm is proposed which is based on the threshold method and modified GGVF-Snake model. Firstly, the CT image is converted into grayscale by using Window-Leveling algorithm, and then Modified Curvature anisotropic diffusion filter is applied. Secondly, a threshold method is used to obtain the initial contour of liver. Finally, the accurate liver boundary is obtained by using a modified GGVF-Snake model. Experimental results show that the proposed algorithm can be applied to the segmentation of liver on abdominal CT images effectively.

AB - For liver segmentation on abdominal CT images, a novel algorithm is proposed which is based on the threshold method and modified GGVF-Snake model. Firstly, the CT image is converted into grayscale by using Window-Leveling algorithm, and then Modified Curvature anisotropic diffusion filter is applied. Secondly, a threshold method is used to obtain the initial contour of liver. Finally, the accurate liver boundary is obtained by using a modified GGVF-Snake model. Experimental results show that the proposed algorithm can be applied to the segmentation of liver on abdominal CT images effectively.

KW - Abdominal CT images

KW - GGVF-snake

KW - Liver segmentation

UR - http://www.scopus.com/inward/record.url?scp=84887532864&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84887532864

SN - 0367-6234

VL - 45

SP - 82

EP - 87

JO - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

JF - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

IS - 9

ER -

Liver segmentation on abdominal CT images

Abstract

Keywords

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