Abstract #3392

Real-time, multi-shot imaging improves image quality in an iCMR simulation study

Nuri Chung¹, Ana Rodríguez-Soto², Niraj Rajesh Mahajan³, Sanjeet Hegde^4,5, Eleanor Lehnert Schuchardt^4,5, Brent L Gordon^4,5, Joni Blood⁴, Amanda Potersnak⁴, and Francisco Contijoch^1,2,4

¹Bioengineering, University of California San Diego, La Jolla, CA, United States, ²Department of Radiology, University of California San Diego, La Jolla, CA, United States, ³Department of Computer Science, University of California San Diego, La Jolla, CA, United States, ⁴Rady Children's Hospital-San Diego, San Diego, CA, United States, ⁵Department of Pediatrics, Division of Cardiology, University of California San Diego, La Jolla, CA, United States

Synopsis

Keywords: Cardiovascular, Heart

Motivation: Interventional cardiac MRI (iCMR) can be used to guide catheterizations, but image quality is limited by real-time imaging constraints (acquisition/reconstruction times).

Goal(s): To evaluate the extent to which real-time multi-shot imaging (via adaptive radial k-space sampling, ARKS) improves iCMR image quality relative to single-shot imaging.

Approach: Both ARKS and golden angle radial sampling were simulated using pediatric ECG recordings. Image quality was evaluated via mean squared error (MSE) and structural similarity index metric (SSIM).

Results: ARKS increases the number of samples available for reconstruction, relative to single shot imaging with the same temporal footprint. This led to lower MSE and higher SSIM.

Impact: Multi-shot real-time imaging has the potential to significantly improve interventional imaging by increasing the amount of data available for image reconstruction. In this study, we demonstrate that combining multi-shot data can improve image quality.

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