Automatic measurement of midline shift on deformed brains using multiresolution binary level set method and Hough transform

Furen Xiao, I. Jen Chiang, Jau Min Wong, Yi Hsin Tsai, Ke Chun Huang, Chun Chih Liao

研究成果: 雜誌貢獻文章同行評審

12 引文 斯高帕斯(Scopus)

摘要

Midline shift (MLS) is an important quantitative feature clinicians use to evaluate the severity of brain compression by various pathologies. The midline consists of many anatomical structures including the septum pellucidum (SP), a thin membrane between the frontal horns (FH) of the lateral ventricles. We proposed a procedure that can measure MLS by recognizing the SP within the given CT study. The FH region is selected from all ventricular regions by expert rules and the multiresolution binary level set method. The SP is recognized using Hough transform, weighted by repeated morphological erosion. Our system is tested on images from 80 patients admitted to the neurosurgical intensive care unit. The results are evaluated by human experts. The mean difference between automatic and manual MLS measurements is 0.23±0.52 mm. Our method is robust and can be applied in emergency and routine settings.

原文英語
頁(從 - 到)756-762
頁數7
期刊Computers in Biology and Medicine
41
發行號9
DOIs
出版狀態已發佈 - 九月 2011

ASJC Scopus subject areas

  • 電腦科學應用
  • 健康資訊學

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