[BIC-announce] CREATE-MIA: November 15 schedule

[Christine Dudek]

This message is being sent on behalf of the CREATE Program in Medical Image Analysis (CREATE-MIA). Everyone is welcome to attend both events. Please see below for more details.

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4D Dynamics and Statistics by Spatio-Temporal 3D Image and Shape Analysis

Speaker: Professor Guido Gerig, Scientific Computing and Imaging Institute (SCI), School of Computing, University of Utah

Date:  Friday, November 15 from 2:00pm - 3:30pm
Where: McConnell Engineering Building, Room 437, McGill University

Abstract:
Rapid advances in image acquisition and shape capturing technology provide continuous or time-discrete 3D volumetric images and/or surfaces, motivated by the notion that dynamic spatiotemporal changes may provide information not available from snapshots in time. The segmentation of 4D data embedding time-varying objects and analysis 4D surfaces requires a new class of methods and tools to make use of the inherent correlation and causality of repeated acquisitions. This talk will discuss progress in the development of advanced 4D image analysis methodologies that carry the notion of linear and nonlinear regression, now applied to complex, high-dimensional data such as images, image-derived shapes and structures, or a combination thereof. Methods include joint segmentation of serial 3D data by 4D segmentation enforcing temporal consistency. We will also address concepts for regression of 4D shapes from time-discrete data, and work in progress towards statistical analysis of 4D shape trajectories via diffeomorphic flows. We will demonstrate that statistical concepts of longitudinal data analysis such as linear and nonlinear mixed-effect modeling (NLME), commonly applied to univariate or low-dimensional data, can be extended to structures and shapes modeled from serial image data.

Our research is driven by challenging medical image analysis problems. Clinical assessment routinely uses terms such as development, growth trajectory, aging, degeneration, disease progress, recovery or prediction. This terminology inherently carries the aspect of dynamic processes, suggesting that snapshots in time and cross-sectional analysis are not sufficient. We will show examples from ongoing clinical studies such as analysis of early brain growth in healthy and at-risk subjects, and of understanding neurodegeneration in normal aging and Huntington’s and Alzheimer’s disease. However, methodologies are generic and may find applications in a wide range of areas where we would like to extract spatiotemporal models from dynamic image series.

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Coding in an Industrial Setting

Who: Rogue Research Inc.
Date: Friday, November 15 from 3:30pm - 5pm
Where: McConnell Engineering Building, Room 437, McGill University

Software specialists from  Rogue Research Inc. will speak about best practices in software development and software project management in an industrial setting.

Rogue Research Inc., one of CREATE-MIA’s industrial partners, is a Montreal-based company which manufactures a family of neuronavigation products used in labs around the world.

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Coffee and cookies will be served.
More information can be found on http://www.cim.mcgill.ca/create-mia


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Krys (Christine) Dudek
Program Administrator, NSERC CREATE Program for Medical Image Analysis
Centre for Intelligent Machines, McGill University
McConnell Engineering, Room 410
3480 University Street
Montreal, QC H3A 0E9

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