Abstract #4334

Accelerated 2D Cine DENSE for Aortic Strain Imaging: A Preliminary Study

Sile Wang^1,2, Shu-Fu Shih¹, Siyue Li¹, Yuxiao Wu^1,2, Kim-Lien Nguyen^1,2,3,4,5, J. Paul Finn^1,5, and Xiaodong Zhong^1,2,5

¹Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, ²Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, ³Division of Cardiology, University of California Los Angeles, Los Angeles, CA, United States, ⁴Division of Cardiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States, ⁵Physics and Biology in Medicine Graduate Program, University of California, Los Angeles, CA, United States

Synopsis

Keywords: Vascular/Vessel Wall, Vessel Wall, DENSE

Motivation: Assessing aortic wall mechanics, particularly strain, is essential for understanding individualized vessel function and remodeling.

Goal(s): This study aims to enhance the utility of displacement-encoding with stimulated echoes (DENSE) for aortic strain imaging by reducing acquisition time and improving signal-to-noise ratio (SNR).

Approach: We employed zonal excitation to decrease the field-of-view and leveraged random matrix theory (RMT) denoising to enhance SNR.

Results: Our results demonstrate the feasibility of these techniques, providing a faster and more accurate method for in vivo aortic strain assessment.

Impact: This could significantly impact cardiovascular diagnostics and patient management.

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