Title :
Algorithmic development of myelin water imaging based on multi-component T2 analysis
Author :
Qi, Shouliang ; Ji, Weijie ; Zhang, Jingshu ; Kang, Yan
Author_Institution :
Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
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.
Keywords :
brain; correlation methods; diseases; echo; medical image processing; neurophysiology; patient diagnosis; smoothing methods; MWF; T2 weighted image; T2-mapping image; algorithmic development; biomarker; brain region; brain tissue; correlation; demyelination; disease diagnosis; echoes; multicomponent T2 analysis; multiple sclerosis; myelin water fraction; myelin water imaging; scanning time; smoothing algorithm; Accuracy; Approximation algorithms; Biomedical measurements; Magnetic resonance imaging; Multiple sclerosis; Smoothing methods; Algorithmic improvement; Multi-component T2 analysis; Myelin water fraction; Myelin water imaging;
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
DOI :
10.1109/ICInfA.2012.6246848
