Development of Computer-aided Classification of Alzheimer's Disease Based on Cerebral Blood Flow map by MR imaging
-
- YAMASHITA Yasuo
- Graduate School of Medical Science, Kyushu University
-
- ARIMURA Hidetaka
- Faculty of Medical Science, Kyushu University
-
- YOSHIURA Takashi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
-
- TOKUNAGA Chiaki
- Graduate School of Medical Science, Kyushu University
-
- KUWAZURU Junpei
- Graduate School of Medical Science, Kyushu University
-
- MAGOME Taiki
- Graduate School of Medical Science, Kyushu University
-
- MONJI Akira
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University
-
- KOBAYASHI Koji
- Division of Radiology, Department of Medical Technology, Kyusyu University Hospital
-
- KOGA Syoichi
- Division of Radiology, Department of Medical Technology, Kyusyu University Hospital
-
- NAKAMURA Yasuhiko
- Division of Radiology, Department of Medical Technology, Kyusyu University Hospital
-
- OHYA Nobuyoshi
- Division of Radiology, Department of Medical Technology, Kyusyu University Hospital
-
- HONDA Hiroshi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
-
- OHKI Masafumi
- Faculty of Medical Science, Kyushu University
-
- TOYOFUKU Fukai
- Faculty of Medical Science, Kyushu University
Bibliographic Information
- Other Title
-
- MR脳血流マップ画像を用いたアルツハイマー病の鑑別支援システムの開発
Search this article
Abstract
The aim of this study was to develop a computer-aided classification system for AD patients based on functional imaging features derived from the cerebral blood flow(CBF)maps measured by arterial spin labeling(ASL)technique which is one of MR imaging techniques. In the first step, the average CBFs in 16 cortical regions were determined as functional imaging features based on the CBF maps, which was non-linearly registered to a Talairach brain atlas by using a free-form deformation tecunique. In the second step, a support vector machine was trained by the average CBFs in 6 cortical functional regions which are known as hypoperfused regions(decreasing regions of blood flow)in AD, and then was employed to distinguish patients with AD from control subjects. For evaluation of the proposed method, we applied it to 15 AD patients and 15 control subjects. As a result, the area under the receiver operating characteristic curve was 0.903 based on a leave-one-out-by-case test. Our preliminary results suggest that the proposed method based on functional imaging features obtained by the ASL technique would be feasible for detection of patients with AD.
Journal
-
- Medical Imaging and Information Sciences
-
Medical Imaging and Information Sciences 28 (3), 72-78, 2011
MEDICAL IMAGING AND INFORMATION SCIENCES
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282679630485120
-
- NII Article ID
- 130001206625
-
- ISSN
- 18804977
- 09101543
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed