Programme Programme

Friday, 9 October
8:00 - 17:00
 Venue Forum 14
Holiday Inn City Centre 
8:00-8:45 Registration and welcome
8:45-9:00 Opening remarks
9:00-10:00 Keynote Presentation 1

Graham Wright, PhD

Senior Scientist, Sunnybrook Research Institute, Toronto
Professor - Medical Biophysics and IBBME, University of Toronto, Canada
Canada Chair in imaging for cardiovascular therapeutics

Title: MRI  for Guiding Ventricular Arrhythmia Management

Abstract: MRI, with its exceptional soft tissue contrast, can provide critical information to improve outcomes for patients at risk of ventricular arrhythmias. There is growing evidence that regions of heterogeneous infarct associated with slow conduction and re-entry circuits can be depicted as areas of intermediate T1 relaxation in gadolinium-enhanced MRI of the heart. Combining MRI maps with electrical information through computational models could facilitate more effective treatment planning and ablation targeting. MRI also has the capacity to visualize tissue damage associated with the ablations, providing the potential for rapid assessment of treatment effect. These advances are motivating the development of integrated systems for direct MRI guidance of ablation therapies in cardiac electrophysiology.


10:00 - 10:30 Poster teasers

Short presentations from selected participants.
Moderators: TBA

10:30-11:00 Coffee & Tea Break
11:00-12:00 Statistical Shape Challenge: Myocardial Infarction

Moderators: Alistair Young and Pau Medrano-Gracia

11:00-11:15 - Opening remarks, introduction and results
11:15-11:45 - Poster teasers (2 minutes per group, maximum 2 slides)
11:45-12:00 - Panel discussion

12:00-13:30 Posters and Lunch


Automated Model-Based Left Ventricle Segmentation in Cardiac MR Images
Sharath Gopal, Demetri Terzopoulos

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle
Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan O'Regan, Stuart Cook, Andrew King, Daniel Rueckert

Towards Left Ventricular Scar Localisation Using Local Motion Descriptors
Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, Aldo Rinaldi, Daniel Rueckert, Andrew King

Prediction of infarct localization from myocardial deformation
Nicolas Duchateau, Maxime Sermesant

Confidence Measures for Assessing the HARP Algorithm in Tagging Magnetic Resonance Imaging
Hanne Kause, Aura Hernandez, Patricia Márquez-Valle, Andrea Fuster, Luc Florack, Hans van Assen, debora gil

Papillary Muscle Segmentation from a Multi-Atlas Database: A Feasibility Study
Benedetta Biffi, Maria A. Zuluaga, Sébastien Ourselin, Andrew M. Taylor, Silvia Schievano

Electrophysiology model for a human heart with ischemic scar and realistic Purkinje network
Toni Lassila, Matthias Lange, Antonio R. Porras Perez, Karim Lekadir, Xènia Alba, Gemma Piella, Alejandro Frangi



Systo-diastolic LV shape analysis by Geometric Morphometrics and Parallel Transport highly discriminates myocardial infarction
Paolo Piras, Luciano Teresi, Stefano Gabriele, Antonietta Evangelista, Giuseppe Esposito, Valerio Varano, Concetta Torromeo, Paola Nardinocchi, Paolo Emilio Puddu

Statistical Shape Modeling using Partial Least Squares: Application to Myocardial Infarction Assessment
Karim Lekadir, Xènia Alba, Marco Pereañez, Alejandro Frangi

Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features
Wenjia Bai, Ozan Oktay, Daniel Rueckert

Detecting Myocardial Infarction using Medial Surfaces
Pierre Ablin, Kaleem Siddiqi

Left ventricle classification using Active Shape Model and Support Vector Machine
Nripesh Parajuli, Allen Lu, James Duncan

Supervised Learning of Functional Maps for Infarction Classification
Anirban Mukhopadhyay, Ilkay Oksuz, Sotirios A. Tsaftaris

Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction
Catarina Pinto, Serkan Çimen, Ali Gooya, Karim Lekadir, Alejandro Frangi

Myocardial Infarction Detection from Left Ventricular Shapes using a Random Forest
Jack Allen, Ernesto Zacur, Erica Dall'Armellina, Pablo Lamata, Vicente Grau

Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct
Marc-Michel Rohé, Nicolas Duchateau, Maxime Sermesant, Xavier Pennec

Automatic detection of cardiac remodeling using global and local clinical measures and random forest classification
Jan Ehrhardt, Matthias Wilms, Heinz Handels, Dennis Säring

Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling
Mahdi Tabassian, Martino Alessandrini, Peter Claes, Luca De Marchi, Dirk Vandermeulen, Guido Masetti, Jan D'hooge


Statistical shape modeling of the left ventricle: myocardial infarct classification challenge
Pau Medrano-Gracia, Xingyu Zhang, Avan Suinesiaputra, Brett Cowan and Alistair A. Young

13:30-14:30 Keynote Presentation 2

Mark Potse, PhD

Visiting Professor, Institute of Computational Science, University of Lugano, Switzerland
Research Scientist, INRIA Bordeaux Sud-Ouest &LIRYC - Bordeaux, France


Title: Patient-tailored heart models as a diagnostic modality

Abstract: Clinical imaging methods provide information about the anatomy of a patient, as well as functional parameters such as perfusion. In addition, electrocardiographic imaging tools can give us good estimates of the electrical activity of the heart. However, important functional parameters such as tissue conductivities, cell size, and protein expression levels remain out of reach of any in-situ imaging tool. We use detailed patient-tailored anatomies to tune models to both ECG and intracardiac electrical signals, and use the final parameter values as diagnostic information. While this approach proved succesful in a small pilot study, it is becoming evident that a great deal of technical progress is needed to apply this method on a larger scale.

14:30-15:30 Oral presentations from regular papers

A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?

Jan L Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew M. Taylor, Silvia Schievano

Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation

Marco Pereañez, Karim Lekadir, Xènia Alba, Pau Medrano-Gracia, Alejandro Frangi

Myocardial Infarct Localization using Neighbourhood Approximation Forests

Heloise Bleton, Jan Margeta, Hervé Lombaert, Hervé Delingette, Nicholas Ayache

15:30-16:00 Coffee & Tea Break
16:00-16:40 Oral presentations from regular papers

Traversed Graph Representation for Sparse Encoding of Macro-Reentrant Tachycardia

Mihaela Constantinescu, Su-Lin Lee, Sabine Ernst, Guang-Zhong Yang

Parameterisation of Multi-directional Diffusion Weighted Magnetic Resonance Images of the Heart

Bianca Freytag, Vicky Wang, G. Richard Christie, Alexander J. Wilson, Gregory B. Sands, Ian J. LeGrice, Alistair Young, Martyn Nash
16:40-17:00 Closing remarks & prizes


Sponsors Sponsors
Silver Sponsors

Elite Sponsors

Key Dates Key Dates
21/06/2015 -Please register the title/abstract in the OCS submission system
03/07/2015 -Paper submission deadline (extended, closed)
22/07/2015 - Paper acceptance notification (delayed)
22/07/2015 -Challenge results due (challenge participants only)
04/08/2015 - Revised paper submission after review
09/10/2015 - STACOM 2015 workshop
18/11/2015 - Final paper submission for publication
~ March 2016 - LNCS proceedings published


This is a tentative schedule