Free-breathing short-axis MOLLI imaging for myocardial T1 mapping : a fully automatic cloud service for image reconstruction

• Main Authors: Yi-Fu Tsai, 蔡奕甫
• Other Authors: Teng-Yi Huang
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/fs2987

碩士 === 國立臺灣科技大學 === 電機工程系 === 104 === Amount the myocardial T1 mapping techniques, the modified look-locker inversion recovery (MOLLI) sequence is accurate and reproducible. The free-breathing MOLLI (FB-MOLLI) presented in our previous study allowed T1 mapping in vivo without breath-hold. In this study, we attempted to implement unsupervised reconstruction for FB-MOLLI data sets and used a deformable method for image registration to improve the reliability of free-breathing T1 mapping. The results supported that the method improved the image alignments of the FB-MOLLI data sets and thus increased the quality of the T1 map. The variations of the repeated T1 measurements were significantly reduced in the anterolateral of the LV walls. In summary, this study presents a functional and robust cloud computing service for application of automatic image processing for FB-MOLLI data sets.