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A New Model to Determine Asymmetry Coefficients on MR Images using PSNR and SSIM
Ozic, Muhammet Usame; Ozsen, Seral
通讯作者Ozic, Muhammet Usame
会议名称2017 International Artificial Intelligence and Data Processing Symposium (IDAP)
会议日期SEP 16-17, 2017
会议地点Malatya, TURKEY
英文摘要

The human brain consists of two hemispheres, right and left. These two hemispheres are almost symmetrical, not perfectly. However, in neurological diseases, the volumetric losses in the brain begin to deteriorate asymmetrically between the two hemispheres. This deterioration can be local or global in the brain. Symmetry deterioration can be a biomarker in the early stage diagnosis and the following of neurological diseases. However, it has been stated that the analysis of asymmetry in the brain by numerical methods is problematic. In this study, a new approach is proposed to analyze the brain symmetry deterioration numerically. In order to perform asymmetry analysis in MR images, two hemispheres must be separated from each other by finding the midsagittal plane which are known symmetry axis. The PSNR and SSIM coefficients are often used for quality measurements between two images. In the study, these coefficients were tested for asymmetry measurement. Statistical analysis was performed by determining PSNR-SSIM coefficients between 70 Control and 70 Alzheimer Disease MR images from the OASIS database. It was determined that the use of PSNR and SSIM coefficients in the asymmetry analysis of MR images gave meaningful results.


英文关键词Asymmetry Alzheimer MR PSNR SSIM
来源出版物2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP)
出版年2017
EISBN978-1-5386-1880-6
出版者IEEE
类型Proceedings Paper
语种英语
国家Turkey
收录类别CPCI-S
WOS记录号WOS:000426868700041
WOS关键词GRAY-MATTER ASYMMETRIES ; ALZHEIMERS-DISEASE ; ATROPHY
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications
WOS研究方向Computer Science
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/306177
作者单位Selcuk Univ, Elect Elect Engn, Konya, Turkey
推荐引用方式
GB/T 7714
Ozic, Muhammet Usame,Ozsen, Seral. A New Model to Determine Asymmetry Coefficients on MR Images using PSNR and SSIM[C]:IEEE,2017.
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