Segmentation of Pulmonary Nodules Based on Improved Dual Fast Marching Method

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2007-01-19

著者

• Jiang Hui-yan

  Sino-dutch Biomedical And Information Engineering School Northeastern University:computing Center No

• Cheng Zhen-yu

  Sino-Dutch Biomedical and Information Engineering School, Northeastern University

• Cheng Zhen-yu

  Sino-dutch Biomedical And Information Engineering School Northeastern University

• Jiang Hui-yan

  Sino-dutch Biomedical And Information Engineering School Northeastern University:computing Center No

関連論文

• Segmentation of Pulmonary Nodules Based on Improved Dual Fast Marching Method
• Automated Segmentation of Lung Lobes and Recognition of Pulmonary Nodules from Multi-slice Chest X-ray CT Images

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