Abstract #0430

Cardiac DTI Inline Automated Processing and On-scanner Diffusion Parameter Map Visualization Using FIRE

Yuchi Liu¹, Danielle Kara^2,3, Kelvin Chow⁴, David Han⁵, Ning Jin⁶, Peter Speier⁷, Deborah Kwon^2,3,8, Xiaoming Bi⁹, and Christopher Nguyen^2,3,5,8

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, ⁴Cardiovascular MR R&D Collaborations, Siemens Healthcare Ltd., Canada, Calgary, AB, Canada, ⁵Department of Biomedical Engineering, Case Western Reserve University & Cleveland Clinic, Cleveland, OH, United States, ⁶Cardiovascular MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Columbus, OH, United States, ⁷Siemens Healthineers AG, Erlangen, Germany, ⁸Cardiovascular Medicine, Heart Vascular Thoracic Institute, Cleveland Clinic, Cleveland, OH, United States, ⁹Cardiovascular MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Chicago, IL, United States

Synopsis

Keywords: Diffusion Analysis & Visualization, Microstructure, Cardiac DTI, Inline automated post-processing

Motivation: Cardiac DTI provides a non-invasive tool to assess microstructure in the heart; however, its clinical use remains hindered by offline post-processing.

Goal(s): To achieve inline automated processing and on-scanner results visualization for cardiac DTI.

Approach: Inline automated post-processing pipeline was implemented using FIRE incorporating motion correction, diffusion tensor fitting, and automatic myocardial center detection for helix angle map generation.

Results: Inline processing time on scanner for 5 slices was 1 minute. Diffusion parameter maps were successfully generated prospectively in 28 volunteers and 19 patients, except for myocardial center detection failure in 2 slices from one volunteer.

Impact: Inline processing enables evaluation of diffusion parameters immediately on scanner or in PACS and enables wide-spread distribution and clinical evaluation of cardiac DTI. Thus, this work implements a key step towards clinical use of cardiac DTI.

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