Moeller Steen, Weingartner Sebastian, Akcakaya Mehmet
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1473-1476. doi: 10.1109/EMBC.2017.8037113.
Evaluation of myocardial T times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T mapping.
心肌T值的评估传统上局限于心动周期的单个时间快照,功能与组织特征之间的相关性尚未得到探索。我们最近提出了一种通过获取动态定量心肌T图来缓解这一局限性的技术。然而,时间分辨率、扫描持续时间和信噪比之间的权衡限制了空间分辨率。在这项工作中,我们提出了一种无需参数调整的多尺度局部低秩降噪方法,以在采集过程中实现高加速率,从而在动态心肌T成像中实现卓越的空间和时间分辨率。