
	- Conference on Mathematics of Medical Imaging, June 20-24, 2011 hosted by the Fields Institute, held at the University of Toronto
	Organizing Committee: Adrian Nachman , University of Toronto Dhavide Aruliah, University of Ontario Institute of Technology Hongmei Zhu, York University

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Schedule	Special Session abstracts

Special Sessions
S1 New Hybrid Modalities in Medical Imaging Organizers: Guillaume Bal, Columbia University John Schotland, University of Michigan.
S2 Computational Hemodynamic Imaging Organizers: David Steinman, University of Toronto Alessandro Veneziani, Emory University.
S3. Advances on Numerical Methods for Electrical Impedance Tomography Organizer: Samuli Siltanen, University of Helsinki.
S4 Dynamic Image Analysis Organizers:Anne Martel, Sunnybrook Health Sciences Stephen Strother, Rotman Research Institute and University of Toronto.
S5 Medical Imaging: Mathematical Methods and Industrial Applications Organizers: Siv Sivaloganathan, Centre for Mathematical Medicine and University of Waterloo Edward Vrscay, University of Waterloo Arsen Hajian, Tornado Medical Systems and Arjae Enterprises
S.6 Numerical Methods in Imaging Organizer: Eldad Haber, University of British Columbia
S.7 Recent Progress on Tomography Organizer: David Finch, Oregon State University
S.8 Cardiac image segmentation and registration Organizers: Perry Radau, Sunnybrook Health Sciences Graham Wright, Sunnybrook Health Sciences and U. of Toronto.
S.9 Imaging Electric Properties of Tissues Organizers: Alexandru Tamasan, University of Central Florida Michael Joy, University of Toronto.
S.10 Compressed Sensing in Medical Imaging Organizers: Hongmei Zhu, York University Adrian Nachman, University of Toronto.
S.11 Mathematical Methods in Biophotonics: Charting a Course for New Opportunities Organizers: Alex Vitkin, University of Toronto Brian Wilson, Ontario Cancer Institute and University of Toronto.
S.12 Statistical Methods in Medical Imaging Organizer: Hanna Jankowski, York University.
S.13 Graph-Based Methods in Medical Imaging Organizer: Paul Dufort, University Health Network.
S.14 Brain Imaging Organizers: Adrian Crawley, Toronto Western Hospital
S.15 Magnetoencephalography Organizer: Douglas Cheyne, SickKids and University of Toronto
S.C. Contributed Talks Organizer: Dhavide Aruliah, University of Ontario Institute of Technology

S1 New Hybrid Modalities in Medical Imaging
Monday, June 20 (MS 3163)
2:10-2:35	Simon Arridge, University College London Quantitative PhotoAcoustic Tomography using Diffusion and Transport Models
2:40-3:05	Claude Boccara, Institut Langevin ESPCI-ParisTech Wavefront Control and Optical Tomography of Scattering Media
3:40-4:05	Kui Ren, University of Texas at Austin Numerical Solution of Inverse Helmholtz Problems with Interior Data
4:10-4:35	Andreas Mandelis, University of Toronto The Biomedical Photoacoustic Radar Imager: Principles, Signal-to-Noise Ratio, Contrast and Resolution
4:40-5:05	Amir Moradifam, University of Toronto Conductivity Imaging from One Interior Measurement in the Presence of Perfectly Conducting and Insulating Inclusions
5:10-5:35	Sarah Patch, University of Wisconsin Milwaukee Thermoacoustic Imaging over Large Fields of View

Tuesday, June 21 (MS 3163)
2:10-2:35	Joyce McLaughlin, Rensselaer Polytechnic Institute Viscoelastic models for tissue: Theoretical results for the forward problem
2:40-3:05	Sergey Telenkov, University of Toronto Frequency-Domain Photoacoustics: Specifics of Signal Processing and Image Reconstruction

S2 Computational Hemodynamic Imaging
Monday, June 20 (MS 4279)
2:10-2:35	Jean-Frederic Gerbeau, INRIA Paris-Rocquencourt MagnetoHemoDynamics in MRI devices
2:40-3:05	Umberto Morbiducci, Politecnico di Torino Visualization and Quantification of Blood Flow in the Human Aorta. From in vivo 4D
3:40-4:05	Jordi Alastruey-Arimon, Imperial College London Reducing the Data: Analysis of the Role of Vascular Geometry on the Features of Blood Flow in Curve Vessels
4:10-4:35	Shawn Shadden, Illinois Institute of Technology Transport Studies of Patient Specific Hemodynamics: Methods of Modeling and Characterization
4:40-5:05	Elena S Di Martino, University of Calgary Wall Stress and Flow Dynamics in Abdominal Aortic Aneurysms
5:10-5:35	Irene Vignol-Clementel, INRIA Paris-Rocquencourt, France From Imaging and Hemodynamic Data to Patient-Specific Simulations of Glenn to Fontan Conversion

Tuesday, June 21 (MS 4171)
2:10-2:35	Leopold Grinberg, Brown University Multi-Scale Patient-Specific Modeling of Brain Blood Flow
2:40-3:05	Alessandro Veneziani, Emory University An Integrated Morphology+CFD Statistical Investigation of Parent Vessel in Cerebral Aneurysms

S3 Advances on Numerical Methods for Electrical Impedance Tomography
Monday, June 20 (MS 2173)
2:10-2:35	Jennifer Mueller, Colorado State University Direct Electrical Impedance Tomography Reconstructions of Nonsmooth Conductivities
2:40-3:05	Fabrice Delbarry, Technical University of Denmark Electrical Impedance Tomography: 3D Reconstructions Using Scattering transforms
3:40-4:05	Ville Kolehmainen, University of Eastern Finland Compensation of Modelling Errors Due to Unknown Domain Boundary in Electrical Impedance Tomography
4:10-4:35	Alexander Mamonov, University of Texas at Austin (talk presented by Fernando Guevara Vasquez) Resistor Networks and Optimal Grids for Electrical Impedance Tomography with Partial Boundary Measurements
4:40-5:05	Fernando Guevara Vasquez, University of Utah Uncertainty Quantification in Resistor Network Inversion

Friday, June 24 (MS 2173)
2:10-2:35	Nuutti Hyvonen, Aalto University, Finland Electrical Impedance Tomography with Two Electrodes
2:40-3:05	Armin Lechleiter, Ecole Polytechnique, France Newton Methods for the Complete Electrode Model of Electrical Impedance Tomography
3:40-4:05	Mikyoung Lim, KAIST, South Korea Optimization Algorithm for the Reconstruction of a Conductivity Inclusion
4:10-4:35	Janne Tamminen, University of Helsinki, Finland Boundary Correction for d-bar EIT Reconstructions

S4 Dynamic Image Analysis
Monday, June 20 (HS 108)
2:10-2:35	Bojana Stefanovic, Sunnbrook Research Institute In Vivo Imaging of Cerebral Hemodynamics with Two Photon Fluorescence Microscopy
2:40-3:05	Nathan Churchill, University of Toronto and Rotman Research Institute Data-Driven Measurement and Removal of Physiological Noise in BOLD fMRI
3:40-4:05	John Sled, Hospital for Sick Children Growth Dynamics in the Mouse
4:10-4:35	Hai-Ling Margaret Cheng, Hospital for Sick Children Quantitative Dynamic Contrast-Enhanced MRI (DCE-MRI) of Tumor Angiogenesis
4:40-5:05	Hatef Mehrabian, University of Toronto Application of Independent Component Analysis (ICA) to Identify and Separate Tumor Arterial Input Function (AIF) in Dynamic Contrast Enhanced MRI
5:10-5:35	John M.Hudson, University of Toronto Functional Imaging of Cancer Using Contrast-Enhanced Ultrasound

S5 Medical Imaging: Mathematical Methods and Industrial Applications
Tuesday, June 21 (Fields Institute Stewart Library)
2:10-2:35	Michael Sharpe, Princess Margaret Hospital & U. of Toronto Advancements in Radiation Therapy Treatment Planning and Optimization
2:40-3:05	Mehran Ebrahimi, Sunnybrook Health Sciences Centre Mathematical Methods for Breast Image Registration
3:40-4:05	Oleg Michailovich, University of Waterloo Fast and Accurate HARDI and its Application to Neurological Diagnosis
4:10-4:35	Kristy Brock, University of Toronto The Role of Deformable Registration Algorithms in Adaptive Radiotherapy
4:40-5:05	Nataliya Portman, McConnell Brain Imaging Centre, Montreal The Modelling of Biological Growth: a Pattern Theoretic Approach
5:10-5:35	David Koff, McMaster University Rewards and Challenges in Adoption of Diagnostically Acceptable Irreversible Compression

Friday, June 24 (MS 3171)
2:10-2:35	Stergios Stergiopoulos, Defence R&D Canada Toronto Advanced Signal Processing for Non-Invasive Medical Diagnostic System Applications
2:40-3:05	Arsen Hajian, Tornado Medical Systems & University of Waterloo An Algorithm's Journey Through Government, Academia, and Industry

S6 Numerical Methods in Imaging
Thursday, June 23 (MS 2158)
2:10-2:35	Lior Horesh, IBM Watson Research Center Optimal Design in Medical Inversion
2:40-3:05	Prashant Athavale, University of California Novel Techniques for Multiscale Representations
3:40-4:05	Christoph Schwarzbach, University of British Columbia Computational Tools for Microwave Imaging - some Finite Element Aspects
4:10-4:35	Eldad Haber, University of British Columbia Inverse Problems for Multi-source Experiments
4:40-5:05	Alessandro Veneziani, Emory University 4D Image-Based CFD Simulation of a Compliant Blood Vessel
5:10-5:35	Michal Holtzman Gazit, University of British Columbia A Scale Consistent Approach to Image Completion

S7 Recent Progress on Tomography
Tuesday, June 21 (MS 3171)
2:10-2:35	Eric Ritman, Mayo Clinic Spectral X-ray Imaging - Implications for Attenuation and Scatter-based Tomography
2:40-3:05	Nicholas Hoell, University of Toronto Inversion of the Attenuated Ray Transform
3:40-4:05	Adel Faridani, Oregon State University Numerical Aspects of Pi-line Reconstruction Algorithms in Tomography
4:10-4:35	Mark Anastasio, Washington University Advances in photoacoustic tomography image reconstruction

S8 Cardiac image segmentation and registration
Tuesday, June 21 (MS 2173)
2:10-2:35	Marshall Sussman, Toronto General Hospital and U. of Toronto A Novel Method for Motion Correction in Cardiac MRI
2:40-3:05	Xiahai Zhuang, University College London A Registration-Based Atlas Propagation Framework for Automatic Whole Heart Segmentation
3:40-4:05	Shuo Li, GE Healthcare Mathematics of Cardiac Image Segmentation and Registration
4:10-4:35	Yingli Lu, Sunnybrook Health Sciences Automated Analysis of Infarct Heterogeneity on Delayed Enhancement Magnetic Resonance Images

S9 Imaging Electric Properties of Tissues
Thursday, June 23 (MS 3163)
2:10-2:35	Greig Scott, Stanford University The Physical Basis of RF Electrical Properties Contrast Imaging by MRI
2:40-3:05	Jin Keun Seo, Yonsei University, Korea Inverse Problems in Medical Imaging: Electrical Property Imaging using MRI
3:40-4:05	Eric Bonnetier, Université Joseph Fourier, Grenoble Some Stability Results for Electric Impedance Tomography under Elastic Deformation
4:10-4:35	Rosalind Sadleir, University of Florida Imaging conductivity changes deep in the brain
4:40-5:05	Dinghui Wang, Keller Center for Imaging Innovation, Phoenix, AZ (talk presented by Michael Joy) Radio Frequency Current Density Imaging with a 180-Degree Sample Rotation
5:10-5:35	Weijing Ma, University of Toronto Active B1 Imaging Using Polar Decomposition Method

Friday, June 24 (MS 3163)
2:10-2:35	Frédéric de Gournay, Université de Versailles TBA
2:40-3:05	Yuan Xu, Ryerson University Ultrasound methods to image the electrical/electrokinetic properties of biomaterials

S10 Compressed Sensing in Medical Imaging
Tuesday, June 21 (MS 3163)
3:40-4:05	Richard Frayne, University of Calgary Potential for Compressed Sensing in Clinical MR Imaging
4:10-4:35	Jong Chul Ye, Korea Advanced Institute of Science & Technology Compressive MUSIC for diffuse optical tomography using joint sparsity
4:40-5:05	Gabriel Rilling, University of Edinburgh Optimized Model-based Undersampling and Reconstruction for Dynamic MRI Based on Support Splitting. Application to Phase Contrast MRI Carotid Blood Flow Imaging
5:10-5:35	Mehmet Akcakaya, Harvard University Compressed Sensing in Cardiac MRI

Friday, June 24 (MS 3163)
3:40-4:05	Christopher Kumar Anand, McMaster University INADEQUATE Sparse Data and Carbon Skeletons
4:10-4:35	Julia Velikina, University of Wisconsin Application of Temporally Constrained Compressed Sensing for High Spatial and Temporal Resolution Magnetic Resonance Imaging
4:40-5:05	Alexey Samsonov, University of Wisconsin A Novel Iterative Thresholding Algorithm for Compressed Sensing Reconstruction of Quantitative MRI Parameters from Insufficient Data
5:10-5:35	Xiteng Liu, Hospital for Sick Children, Toronto System compression: theory and application

S11 Mathematical Methods in Biophotonics: Charting a Course for New Opportunities
Thursday, June 23 (MS 3171)
2:10-5:35	Invited Participants
	Michael Wood, University of Toronto Polarized Light for Tissue Characterization
	Invited Participants
	Invited Participants
	Invited Participants
	Invited Participants

S12 Statistical Methods in Medical Imaging
Thursday, June 23 (MS 2173)
2:10-2:35	Hanna Jankowski,York University Confidence Regions and Means of Random Sets using Oriented Distance Functions
2:40-3:05	Timothy Johnson, University of Michigan Predicting Treatment Efficacy by Quantitative MRI via a Bayesian Joint Model
3:40-4:05	Alejandro Murua, Université de Montréal Functional Connectivity Exploration with the Potts and Random Cluster Models
4:10-4:35	Z. Jane Wang, University of British Columbia fMRI Signal Processing Methods for Brain Connectivity Modeling

S13 Graph-Based Methods in Medical Imaging
Friday, June 24 (MS 4279)
2:10-2:35	Dana Cobzas, University of Alberta Random Walks for Deformable Image Registration
2:40-3:05	Paul Dufort, University of Toronto Joint Segmentation and Deformable Registration of Fractured Vertebra Using a Synthesis of the Expectation Maximization and Belief Propagation Algorithms
3:40-4:05	Leo Grady, Siemens Corporate Research, Princeton Universal Models for Targeted Image Segmentation
4:10-4:35	Réne Donner, Medical University Vienna 3D Anatomical Structure Localization
4:40-5:05	Mona K. Garvin, University of Iowa Use of 3D Graph-Theoretic Approaches in the Segmentation of Ophthalmic Structures

S14 Brain Imaging
Monday, June 20 (HS 106)
3:40-4:05	Jason Lerch, Hospital for Sick Children Detecting small changes in the brain with structural MRI
4:10-4:35	Ragini Verma, University of Pennsylvania Analyzing Diffusion MRI Based "Connectivity" for Diagnosis
4:40-5:05	Cheryl Grady, Rotman Research Institute The Use of Multivariate Methods for the Analysis of fMRI Studies of Cognition
5:10-5:35	Rhodri Cusack, The Centre for Brain & Mind, U of Western Ontario Characterizing Neural Representation with Multivariate Pattern Analysis of fMRI Data

S15 Magnetoencephalography
Tuesday, June 21 (HS 106)
2:10-2:35	John Mosher, Cleveland Clinic Epilepsy Center Imaging and Localizing Neural Sources from MEG Data
2:40-3:05	Douglas Cheyne, Hospital for Sick Children and University of Toronto Use of Adaptive Beamformers in MEG Source Modeling
3:40-4:05	Bernhard Ross, Rotman Research Institute and University of Toronto Identifying Brain Networks of Coherent Oscillations with MEG
4:10-4:35	J.L. Perez Velazquez, Hospital for Sick Children and University of Toronto The Clinical and Basic Significance of Studying Fluctuations of Brain Coordinated Activity

SC Contributed Talks
Monday, June 20 (HS 100)
2:10-2:35	Michael Smith, University of Calgary Moving the Best Ideas from 1985's Constrained Reconstruction Techniques into 2011's Compressed Sensing Reconstruction
2:40-3:05	Lakshminarayan V. Chinta, Sunnybrook Research Institute Quantitative Perfusion Estimation from Two Photon Fluorescence Microscopy Microvasculature Maps
3:40-4:05	Qiong Wu, McMaster University A Semi-Definite, Nonlinear Model for Optimizing k-Space Sample Separation in Parallel Magnetic Resonance Imaging
4:10-4:35	Yogesh Chinta Venkateswarao, McMaster University Sparse Sampling of Velocity MRI
4:40-5:05	Jessica L. M. Pavlin, McMaster University Determining a Flow Profile from Multi-Scale Phase Contrast Angiographic MRI Data

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