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

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.

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.

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


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.