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Abstract #4870

Accelerating 5D Whole-Heart MRA Reconstruction Using a Limited Number of Cardiac and Respiratory Frames

Yitong Yang1, Jackson Hair1, Jerome Yerly2, Davide Piccini3, Matthias Stuber4, and John Oshinski1,5
1Biomedical Engineering, Emory University/Georgia Institute of Technology, Atlanta, GA, United States, 2Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland, 3Siemens Healthcare, Lausanne, Switzerland, 4Lausanne University Hospital, Lausanne, Switzerland, 5Radiology, Emory University School of Medicine, Atlanta, GA, United States


Under-sampled reconstruction of retrospectively gated 5D free-running acquisition is time-consuming and computationally intensive. In this work, a limited reconstruction method is proposed which provides an efficient way to compute a static cardiac volume from free-breathing, ECG-free 5D free-running CMR acquisitions. Structural similarity index measure is used to compare the limited reconstructions with the fully reconstructed image at the physiologic state of interest. The proposed limited reconstruction method achieves a SSIM of 0.9 using only 22% of the full reconstruction time and an SSIM of 0.95 using 44% of the full reconstruction.

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