Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images

Hidetaka Arimura, Takashi Yoshiura, Seiji Kumazawa, Kazuhiro Tanaka, Hiroshi Koga, Futoshi Mihara, Hiroshi Honda, Shuji Sakai, Fukai Toyofuku, Yoshiharu Higashida

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

2 被引用数 (Scopus)

抄録

Our goal for this study was to attempt to develop a computer-aided diagnostic (CAD) method for classification of Alzheimer's disease (AD) with atrophic image features derived from specific anatomical regions in three-dimensional (3-D) T1-weighted magnetic resonance (MR) images. Specific regions related to the cerebral atrophy of AD were white matter and gray matter regions, and CSF regions in this study. Cerebral cortical gray matter regions were determined by extracting a brain and white matter regions based on a level set based method, whose speed function depended on gradient vectors in an original image and pixel values in grown regions. The CSF regions in cerebral sulci and lateral ventricles were extracted by wrapping the brain tightly with a zero level set determined from a level set function. Volumes of the specific regions and the cortical thickness were determined as atrophic image features. Average cortical thickness was calculated in 32 subregions, which were obtained by dividing each brain region. Finally, AD patients were classified by using a support vector machine, which was trained by the image features of AD and non-AD cases. We applied our CAD method to MR images of whole brains obtained from 29 clinically diagnosed AD cases and 25 non-AD cases. As a result, the area under a receiver operating characteristic (ROC) curve obtained by our computerized method was 0.901 based on a leave-one-out test in identification of AD cases among 54 cases including 8 AD patients at early stages. The accuracy for discrimination between 29 AD patients and 25 non-AD subjects was 0.840, which was determined at the point where the sensitivity was the same as the specificity on the ROC curve. This result showed that our CAD method based on atrophic image features may be promising for detecting AD patients by using 3-D MR images.

本文言語英語
ホスト出版物のタイトルMedical Imaging 2008 - Computer-Aided Diagnosis
DOI
出版ステータス出版済み - 2008
イベントMedical Imaging 2008 - Computer-Aided Diagnosis - San Diego, CA, 米国
継続期間: 2月 19 20082月 21 2008

出版物シリーズ

名前Progress in Biomedical Optics and Imaging - Proceedings of SPIE
6915
ISSN(印刷版)1605-7422

その他

その他Medical Imaging 2008 - Computer-Aided Diagnosis
国/地域米国
CitySan Diego, CA
Period2/19/082/21/08

!!!All Science Journal Classification (ASJC) codes

  • 電子材料、光学材料、および磁性材料
  • 原子分子物理学および光学
  • 生体材料
  • 放射線学、核医学およびイメージング

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