ISMRM20 Educational: Value of MRI: A Global Perspective

Educational Course

Value of MRI: A Global Perspective

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Session Topic: Educational Q&A: Value

Session Sub-Topic: Value of MRI: A Global Perspective

Weekday Course

ORGANIZERS: Vikas Gulani, Krishna Nayak, C. C. Tchoyoson Lim, Lawrence Wald

Monday Parallel 1 Live Q&A

Monday, 10 August 2020, 15:15 - 16:00 UTC

Moderators: Sonal Krishan & Andrew Webb

Skill Level: Basic to Intermediate

Session Number: Tu-02

Overview
Emerging discussions within the ISMRM have made clear that the value of MRI needs to be discussed with diverse geographic perspectives in mind. In this session, we will explore the problem of access and affordability from a variety of perspectives: social, clinical, and technology-driven.

Target Audience
All members of the ISMRM.

Educational Objectives
As a result of attending this course, participants should be able to:
- Discuss the global social and cost issues with making MRI available to everyone;
- Identify the barriers to providing imaging care to traditionally underserved populations;
- Identify clinical needs in at least one country as a specific example of bringing MRI to larger populations;
- Recognize hardware and acquisition solutions for creating globally affordable scanners; and
- Illustrate design of software for automatically scanning patients.

		Defining the Clinical Needs in Underserved Populations Susan Sotardi Watch the Video
		Low-Cost Scanning: A Historical Overview Raimo Sepponen Watch the Video A historical review of the experiences gained while introducing a 20 mT MRI unit for emergency and trauma clinics. The inherent high T1-contrast provided rather good sensitivity in the diagnosis of internal hemorrhages, some tumors, abscesses, and pneumonia. Due to the situation in the market, the argument of lower costs was not effective. However, the recent development of magnet materials and signal processing may give possibilities to develop niche concepts based on very low field MRI.
		Affordable Magnet Configurations Shaoying Huang Watch the Video
		Automatic Scanning: Can Computing Be Leveraged to Extend Scanning Capabilities? Juan Santos Watch the Video Deep learning has dramatically improved the performance of computer vision and image analysis algorithms. Initial applications in MRI have focused on post-processing and, more recently, image reconstruction. We will explore how deep learning applied to automation in data acquisition and scan control can have a meaningful impact on image quality, consistency, ease of use, and translate to a significant reduction in total examination time.
		Panel Discussion Sonal Krishan