首页    期刊浏览 2024年07月03日 星期三
登录注册

文章基本信息

  • 标题:Wavelet-Based Image Registration and Segmentation Framework for the Quantitative Evaluation of Hydrocephalus
  • 本地全文:下载
  • 作者:Fan Luo ; Jeanette W. Evans ; Norma C. Linney
  • 期刊名称:International Journal of Biomedical Imaging
  • 印刷版ISSN:1687-4188
  • 电子版ISSN:1687-4196
  • 出版年度:2010
  • 卷号:2010
  • DOI:10.1155/2010/248393
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Hydrocephalus, characterized by increased fluid in the cerebral ventricles, is traditionally evaluated by a visual assessment of serial CT scans. The complex shape of the ventricular system makes accurate visual comparison of CT scans difficult. The current research developed a quantitative method to measure the change in cerebral ventricular volume over time. Key elements of the developed framework are: adaptive image registration based on mutual information and wavelet multiresolution analysis; adaptive segmentation with novel feature extraction based on the Dual-Tree Complex Wavelet Transform; volume calculation. The framework, when tested on physical phantoms, had an error of 2.3%. When validated on clinical cases, results showed that cases deemed to be normal/stable had a calculated volume change less than 5%. Those with progressive/treated hydrocephalus had a calculated change greater than 20%. These findings indicate that the framework is reasonable and has potential for development as a tool in the evaluation of hydrocephalus.
国家哲学社会科学文献中心版权所有