ISMRM Workshop on Fat-Water Separation: Insights, Applications & Progress in MRI

ISMRM Workshop on Fat-Water Separation: Insights, Applications & Progress in MRI
Sunday, February 19, 2012 - Wednesday, February 22, 2012
Hotel Maya
Long Beach, California (CA), United States
Provided by International Society for Magnetic Resonance in Medicine

CME Provider:
International Society for Magnetic Resonance in Medicine
Melisa Martinez - Meetings Coordinator
2030 Addison Street
Suite 700
Berkeley, California (CA) 94704
United States

Phone: (510) 841-1899
Fax: (510) 841-2340

Conference Center:
Hotel Maya
700 Queensway Drive
Long Beach, California (CA)
United States

Phone: (562) 435-7676

Description:
This will be the first ISMRM-sponsored workshop on fat-water MRI. Research in diseases that involve abnormal fat accumulation in organs, muscles, and various body depots has increased significantly in recent years, motivated partly by the rising prevalence of obesity worldwide. Over the last decade, algorithms that robustly suppress fat and those designed to accurately separate fat and water based on chemical-shift MRI have been developed, as interest in fat-water separation methods grows significantly.

The purpose of this workshop is to bring together internationally-recognized clinicians and researchers to review insights, progress, and findings in fat suppression and fat-water MRI over the past 30 years. It will cover the latest discoveries in qualitative fat-water separation and quantitative fat methodologies. Attendees will collectively identify unsolved challenges and applications that need to be further addressed, as well as discuss appropriate validation techniques, implementation considerations, and the consistent use and reporting of methodology and fat metrics in literature. The workshop will integrate educational presentations encompassing a wide array of technical and clinical topics. A poster session will promote interaction amongst young and established investigators. Moderated sessions will comprehensively cover mathematical theory, performance limits, and data reconstruction algorithms of fat-water imaging, as well as highlight new diagnostic applications and future research opportunities.

Self Assessment Module (SAM): No

Instructors:
Houchun Harry Hu, Ph.D.

Specialty Audience:
Radiology