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대뇌 피질 두께 측정을 통한 MRI 기기간의 호환성과 재현성 검증 : 제조사, 펄스 시퀸스, 복셀 크기에 의한 효과

Title
대뇌 피질 두께 측정을 통한 MRI 기기간의 호환성과 재현성 검증 : 제조사, 펄스 시퀸스, 복셀 크기에 의한 효과
Other Titles
Reproducibility and compatibility test in multi-central MRI derived cortical thickness measurement : Effect of manufacturer, pulse sequence and voxel size.
Author
전세운
Alternative Author(s)
Seun Jeon
Advisor(s)
이종민
Issue Date
2010-02
Publisher
한양대학교
Degree
Master
Abstract
Alzheimer's Disease (AD) is the most common form of dementia affecting many millions around the world. Human longevity is more increasing, still AD is the most feared disease that pressing healthy life. There is no remedy for AD currently. The “Multi-center neuroimage bank” system must be established to research and find cure of AD. Because multi-center studies can provide additional information over single center studies due to an increased statistical power. But potential confound introduced by different scanners, similar acquisition protocols must be used to minimize variation in the data collected due to technical non-uniformity and thus maximize across-site sensitivity to true biologic variation. We undertook a pilot study to investigate the reproducibility between centers to test compatibility by quantitative measurement method to identify the feasibility of system. Five young healthy subjects were recruited from Hanyang university who had no historical background of psychological illness or neurological disorder. All subjects were scanned at each five MRI centers, including one test-retest session at the same center with three weeks term. Cortical thickness was measured from all MR images to evaluate of measurement variability. We found the high reliability in both of intra- and inter sessions. And also we found high reliability in different centers which have identical parameters. On the contrary, if we use respective parameters, variability can be remarkably increased even though scanned across same vendors. We found that variability between vendors is extremely larger than the same vendors. Thus system hardware as covariance is must included in statistical model. To make successful launch of "Multi-center neuroimage bank" system, a standardization of quality control, acquisition procedure and parameter incorporation is must be established.
URI
https://repository.hanyang.ac.kr/handle/20.500.11754/142269http://hanyang.dcollection.net/common/orgView/200000413576
Appears in Collections:
GRADUATE SCHOOL[S](대학원) > DEPARTMENT OF BIOMEDICAL ENGINEERING(의용생체공학과) > Theses (Master)
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