Abstract #2606

Improved Reconstruction Speed for 5D Free Running using a Variable Projection Augmented Lagrangian (VPAL) Method with Targeted Descent Step

Yitong Yang¹, Muhammad Naeem², Jerome Yerly³, Davide Piccini⁴, Matthias Stuber³, John N. Oshinski^1,5, and Matthias N. Chung⁶

¹Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, ²Radiology, Emory University School of Medicine, Atlanta, GA, United States, ³Radiology, Lausanne University Hospital (CHUV)), Lausanne, Switzerland, ⁴Siemens Healthineers International AG, Lausanne, Switzerland, ⁵Radiology and Imaging Science, Emory University School of Medicine, Atlanta, GA, United States, ⁶Mathematics, Emory University, Atlanta, GA, United States

Synopsis

Keywords: Image Reconstruction, Cardiovascular

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 with targeted update step for 5D image reconstruction was developed and compared with the state-of-the-art alternating direction method of multipliers (ADMM) on phantom and 15 pediatric patients' datasets.

Results: When compared to the ADMM method, VPAL reduced the reconstruction time by 70%, preserved image similarity, had equivalent ejection fraction measurements and 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 is closer to clinical usage.

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