ISMRM 25th Annual Meeting & Exhibition 22-27 April 2017 Honolulu, HI, USA

Sunrise Educational Session: Individualized Brain MRI: Single-Subject Analysis
Sunrise Session

ORGANIZERS: Christopher P. Hess, M.D., Ph.D.

Wednesday, 26 April 2017
Room 313BC  07:00 - 07:50 Moderators: Thijs Dhollander, Dan Wu

Skill Level: Basic to Intermediate

Slack Channel: #e_neuro
Session Number: SW06


Overview
This three-part series of Neuro Sunrise sessions will focus on "individualized brain MRI." Each session provides a focused review suitable for a broad audience on one widely-used or emerging area of Neuroimaging. This specific sunrise course is targeted to researchers and clinicians interested in understanding and developing techniques for single-subject and atlas-based analyses.

Target Audience
Trainees, technologists and clinicians desiring a broad-scope view of current and emerging techniques for single-subject analysis.

Educational Objectives
Upon completion of this course, participants should be able to:

-Provide examples of current analytic and statistical techniques for single-subject brain analysis;
-Apply atlas-based analysis methods to characterize individual brain variation; and
-Summarize gaps between available techniques and current practice.



07:00
Methods for Single Subject Brain Analysis - permission withheld
Duygu Tosun
Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve clinically relevant single-subject predictions. We will discuss the rationale behind a computational approach to neuroimaging-based single-subject inference, focusing on its potential for characterising disease mechanisms in individual subjects and mapping these characterisations to clinical predictions.

07:25
Atlas-Based Analysis for Neuroimaging Informatics
Andreia Faria
Neuroimaging by MRI is one of the most active areas of research, producing a large body of descriptive results. In the conventional research model, the morphological heterogeneity of a given group is often reduced to the mean, diluting some of the individual variability. We will discuss how quantitative structure-based analysis can reduce images to a standardized and quantitative vector (or matrix) that captures features appropriately without erasing the individual variability. We will illustrate dimension reduction and integration of T1-WI, DTI, resting state fMRI, and other contrasts through multi-atlas segmentation in research and personalized medicine

07:50
Adjournment
 
 

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.