A multiresolution binary level set method and its application to intracranial hematoma segmentation

Chun Chih Liao, Furen Xiao, Jau Min Wong, I. Jen Chiang

研究成果: 雜誌貢獻文章同行評審

18 引文 斯高帕斯(Scopus)

摘要

We propose a multiresolution binary level set method for image segmentation. The binary level set formulation is based on the Song-Chan algorithm, which cannot compute the edge length when the margin of the image is irregular. We modify the edge length approximation so that it can work everywhere in a single-connected image, make it suitable to segment objects at any position, especially near the margin of the image. For multiresolution processing, we use image pyramids. The binary level set method works on images with reduced resolution and size. A point at the image with lower resolution is processed instead of a block or a strip at the original resolution, therefore improving the efficiency. Our multiresolution binary level set method is applied to segmentation of intracranial hematomas on brain CT slices. Segmentation of epidural and subdural hematomas, which have been not done previously, is performed successfully in seconds with results comparable to human experts.

原文英語
頁(從 - 到)423-430
頁數8
期刊Computerized Medical Imaging and Graphics
33
發行號6
DOIs
出版狀態已發佈 - 9月 2009

ASJC Scopus subject areas

  • 放射學、核子醫學和影像學
  • 健康資訊學
  • 放射與超音波技術
  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別

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