Meeting Banner
Abstract #1081

MR Multitasking based Multi-dimensional Assessment of Cardiovascular System (MT-MACS) Technique: Feasibility on the Thoracic Aorta

Zhehao Hu1,2, Anthony G. Christodoulou1, Nan Wang1,2, Shlee S. Song3, Marcel M. Maya4, Mariko L. Ishimori5, Lindsy J. Forbess5, Jiayu Xiao1, Xiaoming Bi6, Fei Han6, Debiao Li1,2,7, and Zhaoyang Fan1,2,7
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Bioengineering Department, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 5Department of Rheumatology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6Siemens Healthineers, Los Angeles, CA, United States, 7Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

Thoracic aortic diseases are one of the most common causes of cardiovascular morbidity and mortality, where imaging plays a central role in diagnosis. As a noninvasive technique, MR imaging has the potential to provide a comprehensive evaluation of the thoracic aorta from various aspects. However, clinical adoption of this modality is hindered by several limitations, i.e. long scan time and cumbersome setup for accommodating motion during data acquisition. In this work, we present an MR MultiTasking based 3D Multi-dimensional Assessment of Cardiovascular System (MT-MACS) technique that allows for ECG- and navigator-free thoracic aortic imaging within 6 minutes.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here