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Cardiac Imaging

E Williamson1*, Z Qi2*, R Muthupillai3*, S Leng1*, (1) Mayo Clinic, Rochester, MN, (2) Henry Ford Health System, Detroit, MI, (3) University of Houston, Pearland, TX

Presentations

MO-AB-207-0 (Monday, 7/11/2022) 7:30 AM - 9:30 AM [Eastern Time (GMT-4)]

Room 207

Cardiovascular disease is the leading cause of death in the United States. Medical imaging plays a critical role in screening, diagnosis and treatment of patients with cardiovascular disease. Various imaging modalities, such as CT, MRI, PET, SPECT and Ultrasound, have been widely used to provide anatomical and functional information of the cardiovascular system. There are both noticeable similarities and differences among these imaging modalities, with each has its own strength and weakness. Appropriate selection of cardiac imaging modality depends on many factors such as indication, patient characteristics, accessibility, and cost. It is also not uncommon to have patients examined on multiple imaging modalities.
Cardiac imaging is a challenging task given the intrinsic heart motion and small anatomy to assess, which requires sufficient image quality with both high spatial and temporal resolution. Both hardware and software solutions have been developed addressing these challenges. We have seen tremendous advance in cardiac imaging in recent years. In this symposium, we have invited 4 experts to provide a comprehensive update on fundamentals and recent advance of cardiac imaging, including both technical development and clinical applications.

Learning Objectives:
1. Understand fundamental imaging techniques in various modalities used in cardiac imaging, e.g. CT, MRI and Nuclear Medicine
2. Understand the strength and weakness of each imaging modality
3. Select appropriate imaging modality or modalities for certain cardiac disease
4. Get familiar with advanced technology in cardiac imaging

Funding Support, Disclosures, and Conflict of Interest: Shuai Leng: Grant support NIH R01 EB028590 Raja Muthupillai: Research support from Philips Healthcare

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