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 Oshinski^1,5

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

Synopsis

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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