Abstract #1870

Improved Reconstruction Speed for 5D Free Running Motion Resolved Using a Variable Projection Augmented Lagrangian (VPAL) Method

Yitong Yang¹, Matthias Chung², Aws Hamid³, Jerome Yerly⁴, Davide Piccini⁵, Matthias Stuber⁴, and John N. Oshinski³

¹Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, ²Mathematics, Emory University, Atlanta, GA, United States, ³Radiology and Imaging Science, Emory University School of Medicine, Atlanta, GA, United States, ⁴Radiology, Lausanne University Hospital (CHUV)), Lausanne, Switzerland, ⁵Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland

Synopsis

Keywords: Image Reconstruction, Image Reconstruction

Motivation: 5D free-running whole heart CMR offers CT-quality images but requires hours-long reconstruction time, preventing clinical usage. Therefore, a more efficient reconstruction algorithm is needed.

Goal(s): We propose to use the advanced numerical algorithm to reduce the reconstruction time while preserving image quality.

Approach: A variable projection augmented Lagrangian (VPAL) method for 5D motion-resolved image reconstruction was developed and compared with the state-of-the-art alternating direction method of multipliers (ADMM) on 15 5D free-running raw data sets.

Results: When compared to the ADMM method, VPAL reduced the reconstruction time by 60%, preserved image similarity, had equivalent ejection fraction measurements, and had superior radiologist ratings.

Impact: This study shows that using an advanced numerical algorithm for highly under-sampled MR reconstruction both reduces computational time and results in better image quality for diagnostics, bringing 5D free-running imaging closer to clinical usage.

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