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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationMedical Imaging 2008 - Computer-Aided Diagnosis
DOIs
Publication statusPublished - 2008
EventMedical Imaging 2008 - Computer-Aided Diagnosis - San Diego, CA, United States
Duration: Feb 19 2008Feb 21 2008

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6915
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2008 - Computer-Aided Diagnosis
CountryUnited States
CitySan Diego, CA
Period2/19/082/21/08

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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    Arimura, H., Yoshiura, T., Kumazawa, S., Tanaka, K., Koga, H., Mihara, F., Honda, H., Sakai, S., Toyofuku, F., & Higashida, Y. (2008). Computer-aided diagnostic method for classification of Alzheimer's disease with atrophic image features on MR images. In Medical Imaging 2008 - Computer-Aided Diagnosis [69151P] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6915). https://doi.org/10.1117/12.769753