Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting • 07-12 May 2022 • London, UK

2022 Joint Annual Meeting ISMRM-ESMRMB and 31st ISMRT Annual Meeting

Weekend Course

Clinical Translation in the Age of AI: Challenges & Successes in Body MRI

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Clinical Translation in the Age of AI: Challenges & Successes in Body MRI
Weekend Course
ORGANIZERS: Hero Hussain, Nandita DeSouza, Steven Sourbron, Jurgen Fütterer, Katja Pinker-Domenig
Saturday, 07 May 2022
ICC Capital Suite 8-9
08:00 -  12:00
Moderators: 
Translation in Body MRI: Daiki Tamada
Translation of AI-Based MR Acquisition: Andreas Wetscherek
Translation of AI-Based Decision Making: Katja Pinker-Domenig
Skill Level: Intermediate to Advanced
Session Number: WE-01
 

Session Number: WE-01

Overview
This course addresses the challenges of translating body MRI techniques, including AI-based techniques, into the clinic. It discusses the specific challenges in bringing a technique from proof of concept to a clinically useful diagnostic or interventional tool.

The first section is devoted to translating techniques specifically for pulmonary imaging into clinical practice, where proton density is low and B1 inhomogeneity is high. The second section highlights examples of successful clinical translation of image acquisition (DWI in oncology) and MR-guided interventions (HIFU). The third and fourth sections deal with translating AI-based methods of image acquisition and AI-based clinical applications to the wider imaging community.

Target Audience
M.D.s with an interest in pulmonary MRI, oncology, and interventional radiology; Ph.D.s with an interest in translating techniques to the clinic; M.D.s and Ph.D.s with an interest in developing AI-based methods as clinically useful tools.

Educational Objectives
As a result of attending this course, participants should be able to:
- Identify the techniques needed for pulmonary MRI and apply them to their clinical practice;
- Practice DWI appropriately for oncological applications;
- Recognize the potential for AI-based techniques in image acquisition and apply them appropriately; and
- Recognize the AI-based clinical applications that can be implemented widely and utilize them.

    Pulmonary MRI
08:00   Pulmonary MRI: How to Do It

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Yoshiharu Ohno
In 2020, the Fleischner Society published a new report, which provides consensus expert opinions regarding appropriate clinical indications of pulmonary MR imaging for not only oncologic but also pulmonary diseases. In this lecture, I present MR imaging for thoracic diseases regarding its technical aspects and major clinical indications in Japan 1) in terms of what is currently available, 2) promising but requiring further validation or evaluation, and 3) developments warranting research investigations in preclinical or patient studies.
08:25   Pulmonary MRI: Applications in Clinical Practice

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Edwin van Beek
    Translation in Body MRI
08:50 Translating MR Sequences into Clinical Tools: Abdomino-Pelvic Applications of DWI That Have Transformed Oncology Practice

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Daiki Tamada
Diffusion-weighted imaging (DWI), which relies on microscopic motion in the cell, is an essential tool to diagnose and evaluate lesions in the body. However, many challenges remain, such as artifacts, low-SNR, long scan time, and comprehensive interpretation. Recently, artificial intelligence (AI) approaches have been proposed to address these challenges. Furthermore, recent deep learning approaches enabled innovative applications. This talk aims to review the emerging applications using AIs for body DWI.
09:15   Translating MR Interventions into Clinical Workflow: MR-Guided HIFU

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Holger Grull
MR-HIFU is a non-invasive method to heat tissue to ablative or hyperthermic temperatures. For therapy planning and temperature monitoring, this treatment is performed under MR guidance offering high resolution anatomical images as well as near-real time temperature mapping. Currently clinical use is restricted to CE-applications such as ablation of uterine fibroids, osteoid osteomas or desmoid tumors. In this presentation, we showcase the research and clinical translation of treatment of facet joint arthritis and pancreatic cancer from small to large animal models to clinical trials. Regulatory hurdles that need to be addressed will be discussed including the clinical trials. 
  09:40   Break & Meet the Teachers
 
    Translation of AI-Based MR Acquisition
10:05   Diagnostic Confidence in Deep Learning-Accelerated Sequences of the Body

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Ahmed Othman
10:30   Machine Learning Methods for MRI Segmentation & Classification in the Abdomen

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Sergios Gatidis
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    Translation in Body MRI
10:55   AI Applications for Prostate Cancer: Staging, Prediction & Prognosis

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Chan Kyo Kim
    Translation of AI-Based Decision Making
11:20   AI Applications for Rectal Cancer: Staging, Prediction & Prognosis

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Iva Petkovska

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