机构：[a]School of Information Science and Technology, Beijing Normal University, Beijing, China 100875[b]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China 100875[c]Banner Samaritan PET Center, Banner Good Samaritan Medical Center, Phoenix Arizona, USA 85006[d]Department of Radiology, Xuanwu Hospital of Capital University of Medical Sciences, Beijing, China 100053放射科首都医科大学宣武医院[e]Beijing Nantian Software Co., Ltd., Beijing, China 100085
Magnetic resonance image (MRI) has provided an imageological support into the clinical diagnosis and prediction of Alzheimer disease (AD) progress. Currently, the clinical use of MRI data on AD diagnosis is qualitative via visual inspection and less accurate. To provide assistance to physicians in improving the accuracy and sensitivity of the AD diagnose and the clinical outcome of the disease, we developed a computer-assisted analysis package that analyzed the MRI data of an individual patient in comparison with a group of normal controls. The package is based on the principle of the well established and widely used voxel-based morphometry (VBM) and SPM software. All analysis procedure is automated and streamlined. With only one mouse-click, the whole procedure was finished within 15 minutes. With the interactive display and anatomical automatic labeling toolbox, the final result and report supply the brain regional structure difference, the quantitative assessment and visual inspections by physicians and scientific researcher. The brain regions which affected by AD are consonant in the main with the clinical diagnosis, which are reviewed by physicians. In result, the computer package provides physician with an automatic and assistant tool for prediction using MRI. This package could be valuable tool assisting physicians in making their clinical diagnosis decisions.
语种：
外文
第一作者：
第一作者机构：[a]School of Information Science and Technology, Beijing Normal University, Beijing, China 100875
通讯作者：
通讯机构：[a]School of Information Science and Technology, Beijing Normal University, Beijing, China 100875[b]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China 100875
推荐引用方式(GB/T 7714)：
Zifan Cai,Qian Di,Kewei Chen,et al.Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image[J].Progress in Biomedical Optics and Imaging - Proceedings of SPIE.2007,6514(PART 2):doi:10.1117/12.708376.
APA：
Zifan Cai,Qian Di,Kewei Chen,Eric M. Reiman,Liang Wang...&Xiaojie Zhao.(2007).Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image.Progress in Biomedical Optics and Imaging - Proceedings of SPIE,6514,(PART 2)
MLA：
Zifan Cai,et al."Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image".Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6514..PART 2(2007)
