A multi-modality approach for enhancing 4D flow MRI via sparse representation
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https://purr.purdue.edu/publications/3872/1
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资源简介：
<p>The data and source code provided in this publication was used to enhance the blood flow measurements with in vivo 4D flow MRI in cerebral aneurysms using a multi-modality approach.&nbsp;The approach, named Multi-modality Sparse Representation (MSR), reconstructs the velocity field from 4D flow MRI by searching for a sparse representation in a library of high-resolution velocity fields obtained from CFD and <i>in vitro</i> PTV.&nbsp;The MSR reconstruction enhanced the spatial resolution and velocity accuracy of the MRI data, and improved the reliability of the flow-derived hemodynamic parameters including pressure and wall shear stress (WSS).</p>
<p>The data provided here contains the velocity fields from in vivo 4D flow MRI, in vitro PTV, and patient-specific CFD simulations in two cerebral aneurysms&nbsp;stored in MATLAB file format. The source code is written in Python.</p>
提供机构：
Purdue University Research Repository
创建时间：
2021-09-22
