Abstract #3049

Initial Evaluation of Deep Resolve Boost and Sharp for Cardiac Diffusion Tensor Imaging in Volunteers and Patients

Yuchi Liu¹, Danielle Kara^2,3, Dingheng Mai^2,4, Tassia Ribeiro Salles Moura^2,5, Michaela Schmidt⁶, Deborah Kwon^2,3,7, Xiaoming Bi⁸, and Christopher Nguyen^2,3,4,7

¹Cardiovascular MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Cleveland, OH, United States, ²Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States, ³Diagnostic Radiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, ⁴Department of Biomedical Engineering, Case Western Reserve University & Cleveland Clinic, Cleveland, OH, United States, ⁵Cleveland State University, Cleveland, OH, United States, ⁶Siemens Healthineers AG, Erlangen, Germany, ⁷Cardiovascular Medicine, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States, ⁸Cardiovascular MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Chicago, IL, United States

Synopsis

Keywords: Microstructure, Diffusion Denoising

Motivation: Achieving high SNR is a persistent challenge for cardiac DTI.

Goal(s): This study aims to apply Deep Resolve Boost (DRB) and Deep Resolve Sharp (DRS) to cardiac DTI to assess their effects on SNR, image quality, and diffusion parameter maps.

Approach: DRB and DRS were implemented in a research cardiac DTI sequence and evaluated in 11 volunteers and 3 hypertrophy cardiomyopathy patients in terms of image quality and SNR of diffusion weighted images, diffusion parameter maps, and global mean diffusivity and fractional anisotropy values.

Results: DRB and DRS achieved SNR enhancement and improved image sharpness for cardiac DTI.

Impact: Preliminary results in 11 volunteers and 3 patients show that Deep Resolve Boost and Sharp achieved SNR enhancement and improved image sharpness for cardiac DTI. The fact that it can be deployed on scanners prospectively also enhances its clinical utility.

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