Improved workflow for quantification of left ventricular volumes and mass using free-breathing motion corrected cine imaging
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- 作者：Russell Cross ; Laura Olivieri…
- 关键词：Retrospective reconstruction ; Cardiac function ; Cardiac volume ; Motion correction ; Real ; time imaging ; Cardiovascular MR ; Breath ; held ; Free ; breathing ; Cine ; Reconstruction time
- 刊名：Journal of Cardiovascular Magnetic Resonance
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：18
- 期：1
- 全文大小：1,320 KB
- 刊物主题：Imaging / Radiology; Angiology; Cardiology;
- 出版者：BioMed Central
- ISSN：1532-429X
- 卷排序：18
文摘
BackgroundTraditional cine imaging for cardiac functional assessment requires breath-holding, which can be problematic in some situations. Free-breathing techniques have relied on multiple averages or real-time imaging, producing images that can be spatially and/or temporally blurred. To overcome this, methods have been developed to acquire real-time images over multiple cardiac cycles, which are subsequently motion corrected and reformatted to yield a single image series displaying one cardiac cycle with high temporal and spatial resolution. Application of these algorithms has required significant additional reconstruction time. The use of distributed computing was recently proposed as a way to improve clinical workflow with such algorithms. In this study, we have deployed a distributed computing version of motion corrected re-binning reconstruction for free-breathing evaluation of cardiac function.