Overview
Microstructure imaging holds the promise to provide detailed and biophysically specific information about tissue microstructure beyond imaging resolution. In developing such methods and applying them to clinical settings, histology plays an important role in not only validating but also driving the improvement to microstructure imaging methods by providing information about the underlying tissue microstructure. However, a direct link of MRI signals to tissue microstructure from histology is challenging owing to a number of factors, including 1) the invasive ex vivo nature of histology, 2) the very different spatial resolutions and 3) the inability of histology to account for MR-related tissue properties, such as relaxation times.
To address this challenge, a series of novel computational modelling methods have been recently developed to better harness histology for improving microstructure imaging. This symposium will focus on the most recent advances in those methods and include invited lectures, focussing on 1) How can the development of microstructure imaging techniques benefit from exploiting information from histology? 2) What is the current state-of-the-art in exploiting histology for microstructure imaging? 3. What are the applications? The session will conclude with a panel discussion about practical matters like computational costs, implementation requirements as well as future directions like the possibility of virtual histology with realistic phantoms alone.
Target Audience
Scientists and clinicians interested in developing and applying advanced microstructure imaging techniques.
Educational Objectives
As a result of attending this course, participants should be able to:
• A critical introduction to the context within which computational modelling that harnesses histology for microstructure imaging lies|• Knowledge of the existing computational modelling methods of this kind and their implementation requirements|• Discover the potential applications of these computational modelling techniques in basic and clinical research
14:45
From Histological Validation to Histology-Inspired Microstructure Imaging
Video Unavailable
Kurt Schilling
Vanderbilt University
15:05
Realistic Digital Phantoms of White Matter & Their Application to Microstructure Imaging
Video Unavailable
Cyril Poupon
CEA NeuroSpin, France
15:25
Simulation of Complex Cell Morphology in the Grey Matter & its Application to Microstructure Imaging
Video Unavailable
Andrada Ianus
Champalimaud Centre for the Unknown, Portugal
15:45
Joint Modelling of Diffusion MRI & Microscopy
Video Unavailable
Amy Howard
University of Oxford, UK, United Kingdom
16:05
Linking Histology with Multi-Contrast MRI via Deep Learning
The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.