Automatic Gallbladder Location and Segmentation Based on Anatomical Knowledge

Yong Feng Huang; Zhen Zhen Xu; Cai Rong Yan

doi:10.4028/www.scientific.net/AMM.556-562.4697

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Automatic Gallbladder Location and Segmentation...

Automatic Gallbladder Location and Segmentation Based on Anatomical Knowledge

Abstract:

Locating object regions is particularly important for image segmentation. Incorporating knowledge of human anatomy, such as numerical anatomical models, into image segmentation to produce more effective results. This paper presents a method of automatic gallbladder location and segmentation based on anatomical knowledge. Firstly, located liver according to the anatomic knowledge that the liver is the largest internal organ using distance transformation and then segmented liver with located outline as initial function using level set method. Secondly, located gallbladder according to the anatomic knowledge that the gallbladder is wrapped in liver using the circumscribed sphere of the liver surface and the sphere of maximum similarity with gallbladder is the location of gallbladder. Finally, segmented gallbladder with the sphere as initial function using level set method.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

4697-4700

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.4697

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Online since:

May 2014

Authors:

Yong Feng Huang*, Zhen Zhen Xu, Cai Rong Yan

Keywords:

Anatomical Knowledge, Automatic Location, Circumscribed Sphere, Level Set

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* - Corresponding Author

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