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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shouliang Qi Weijie Ji Jingshu Zhang Yan Kang |
| Copyright Year | 2012 |
| Description | Author affiliation: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning Province, China (Shouliang Qi; Weijie Ji; Jingshu Zhang; Yan Kang) |
| Abstract | Myelin water fraction (MWF) based on multi-component T2 analysis is one promising biomarker for the myelin in the brain. Two smoothing algorithms are proposed and compared in this study. Then the feasibility of using 6 echoes to determine MWF is investigated. Finally the correlations between T2 weighted, T2-mapping, and myelin water images are clarified. It is found the improved smoothing algorithm only takes 33 seconds (>1000 seconds for the past) while the results show no significant difference. MWF calculated with 6 echoes accords well with the reference using 32 echoes, which means scanning time can be limited less than 7 minutes for whole brain region. Through the correlation study, it is shown myelin water imaging has more advantages than T2-W and T2-mapping imaging especially on early diagnosis of diseases related to brain tissues, such as multiple sclerosis, demyelination and degradation. |
| Starting Page | 451 |
| Ending Page | 454 |
| File Size | 1553653 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467322386 |
| e-ISBN | 9781467322379 |
| e-ISBN | 9781467322362 |
| DOI | 10.1109/ICInfA.2012.6246848 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Myelin water fraction Smoothing methods Multiple sclerosis Accuracy Magnetic resonance imaging Algorithmic improvement Approximation algorithms Biomedical measurements Multi-component T2 analysis Myelin water imaging |
| Content Type | Text |
| Resource Type | Article |
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