Share Email Print
cover

Proceedings Paper

Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images
Author(s): Hidetaka Arimura; Takashi Yoshiura; Seiji Kumazawa; Kazuhiro Tanaka; Hiroshi Koga; Futoshi Mihara; Hiroshi Honda; Shuji Sakai; Fukai Toyofuku; Yoshiharu Higashida
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

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.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69151P (17 March 2008); doi: 10.1117/12.769753
Show Author Affiliations
Hidetaka Arimura, Kyushu Univ. (Japan)
Takashi Yoshiura, Kyushu Univ. (Japan)
Seiji Kumazawa, Kyushu Univ. (Japan)
Kazuhiro Tanaka, Kyushu Univ. (Japan)
Hiroshi Koga, Okumura Hospital (Japan)
Futoshi Mihara, National Fukuoka-Higashi Medical Ctr. (Japan)
Hiroshi Honda, Kyushu Univ. (Japan)
Shuji Sakai, Kyushu Univ. (Japan)
Fukai Toyofuku, Kyushu Univ. (Japan)
Yoshiharu Higashida, Kyushu Univ. (Japan)


Published in SPIE Proceedings Vol. 6915:
Medical Imaging 2008: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

© SPIE. Terms of Use
Back to Top