Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop has been running annually at MICCAI since 2010. The 8th edition of STACOM workshop will be held on 10 or 14 September 2017, with a scope to create a collaborative forum for young/senior researchers (engineers, biophysicists, mathematicians) and clinicians, working on: statistical analysis of cardiac morphology and dynamics, computational modelling of the heart and fluid dynamics, data/models sharing, personalisation of cardiac electro-mechanical models, quantitative image analysis and translational methods into clinical practice.
The STACOM 2017 workshop accepts regular paper submission describing new methods in the following (not limited) topics:
- Statistical analysis of cardiac morphology and morphodynamics
- Computational modeling and simulation of the heart and the great vessels
- Personalisation of cardiac model, electrophysiology and mechanics
- Quantitative cardiac image analysis
- Sharing and reusing cardiac model repository
- Translational studies of cardiac image analysis in clinical practice
In this edition, the workshop also holds two challenges:
- Multi-Modality Whole Heart Segmentation (MM-WHS)
- Automated Cardiac Diagnosis Challenge (ACDC)
Submit Your Paper
The STACOM 2016 workshop will accept 8-page papers (LNCS-Springer format) as regular submissions or challenges. Note that there are different rules prior paper submission for the challenges. Please refer to specific guidelines from the challenge website. Selected papers will be published in a Lecture Notes in Computer Science proceeding published by Springer (see previous STACOM proceedings).
Multi-Modality Whole Heart Segmentation
Segmentation and registration of whole heart images are still challenging. The extraction and modeling of whole heart substructures currently relies heavily on manual delineation, which is a time-consuming task and it is also prone to errors and dependent on the expertise of the observer. The task is to automatically delineate the whole heart from both cardiac CT and cardiac MRI data. 60 cardiac CT/CTA and 50+ cardiac MRI volumes in 3D volumes that cover the whole heart are provided. This challenge is organized by Xiahai Zhuang (Fudan University, China), Guang Yang (Imperial College London, UK) and Lei Li (Shanghai Jiao Tong University, China).
Automated Cardiac Diagnosis Challenge
The goal of this contest is two-fold:
- Compare the performance of automatic methods on the segmentation of the left ventricular endocardium and epicardium as the right ventricular endocardium for both end diastolic and end systolic phase instances
- Compare the performance of automatic methods for the classification of the examinations in five classes (normal case, heart failure with infarction, dilated cardiomyopathy, hypertrophic cardiomyopathy, abnormal right ventricle)
The challenge data is composed by 150 patients with cine-MR images acquired in clinical routine. This challenge is organized by Pierre-Marc Jodoin (University of Sherbrooke, Canada), Alain Lalande (University of Bourgogne, France), and Olivier Bernard (University of Lyon, France).