Presentation 2007-01-26
Segmentation of Pulmonary Nodules Based on Improved Dual Fast Marching Method
Zhen-yu Cheng, Hui-yan Jiang,
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Abstract(in English) This paper presents a new approach for pulmonary nodules segmentation based on improved dual fast marching method. Firstly, two zero level sets located inside and outside of nodule are initialized. Secondly, energy function and termination condition are established. Eventually, we employ both energy and termination condition to control the evolvement of two level sets. Moreover, a new measure for ascertaining the energy weight coefficients automatically is provided. The validity of the proposed approach is demonstrated on the lung CT image. Experimental results show that the approach not only improve the segmentation quality, but also offer higher robust and more adaptable.
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Keyword(in English) dual fast marching / level set method / image segmentation / chest CT image / pulmonary nodule
Paper # MI2006-105
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Committee MI
Conference Date 2007/1/19(1days)
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Registration To Medical Imaging (MI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Segmentation of Pulmonary Nodules Based on Improved Dual Fast Marching Method
Sub Title (in English)
Keyword(1) dual fast marching
Keyword(2) level set method
Keyword(3) image segmentation
Keyword(4) chest CT image
Keyword(5) pulmonary nodule
1st Author's Name Zhen-yu Cheng
1st Author's Affiliation Sino-Dutch Biomedical and Information Engineering School, Northeastern University()
2nd Author's Name Hui-yan Jiang
2nd Author's Affiliation Sino-Dutch Biomedical and Information Engineering School, Northeastern University:Computing Center, Northeastern University
Date 2007-01-26
Paper # MI2006-105
Volume (vol) vol.106
Number (no) 509
Page pp.pp.-
#Pages 4
Date of Issue