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The 7th International Workshop on
Statistical Atlases & Computational Modelling of the HeartAthens, 17 October 2016
Proceedings: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. In 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers, Lecture Notes in Computer Science, Vol. 10124, Springer International Publishing, 2017.
Welcome
Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop has been running annually at MICCAI since 2010. The 7th edition of STACOM workshop will be held on 17th October 2016, 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 2016 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
Proceedings
Key dates
| 15 May | Submission site open |
| 27 June | Abstract submission |
| 30 June | Paper submission |
| 15 July | Notification of acceptance |
| 1 August | Camera ready |
| 17 October | Workshop (full-day) |
Schedule
| 8:30-9:00 | Registration & Welcome |
| 9:00-10:00 | Keynote 1 |
| 10:00-10:30 | Poster teasers from regular papers |
| 10:30-11:00 | Coffee break |
| 11:00-12:00 | Challenge |
| 12:00-13:00 | Posters (viewing & judging) |
| 13:00-14:00 | Lunch |
| 14:00-15:00 | Keynote 2 |
| 15:00-16:00 | 3 regular papers |
| 16:00-16:30 | Coffee breaks |
| 16:30-17:10 | 2 regular papers |
| 17:10-17:30 | Closing remarks, prizes & adjourn |
Keynote Speakers
Dr. Sophie Mavrogeni (MD, FESC)
Onassis Cardiac Surgery Center, Athens, Greece
Cardiovascular Magnetic Resonance: Current status and future applications
Currently, Cardiac MRI is the ideal technique for cardiovascular morphology, function, tissue characterisation, myocardial inflammation, perfusion and fibrosis assessment. We expect that in near future Cardiac MRI will allow to detect early pathophysiologic changes at molecular level.
Prof. Dr. Dimitris Metaxas
Rutgers University, USA
Model-based Large Scale Cardiac Analytics
Over the last 20 years, we have been developing a general, scalable, computational framework that combines principles of deformable models, computational learning, sparse methods and mixed norms. This framework has been used for resolution of complex large scale cardiac analytics. We will present this framework and its application to cardiac analytics which include feature discovery for segmentation and 3D reconstruction of the cardiac chambers, cardiac MRI image reconstruction from sparse data, 3D spatiotemporal wall and blood flow analytics from CT. Finally, we will show quantitative analysis results of various cardiac diseases such as hypertrophy, dysynchrony and infarction.
Submit Your Paper
The STACOM 2016 workshop will accept 8-page papers (LNCS-Springer format), similar to MICCAI guidelines, as regular submissions or for the quantification of atrial wall thickness challenge. Selected papers will be published in a Lecture Notes in Computer Science proceeding published by Springer (see previous STACOM proceedings).
Left Atrium Wall Thickness Challenge
This year STACOM workshop runs a computational challenge to analyse left atrium from cardiac MR and CT images. The dataset is provided by the King's College London in UK. The images included in the challenge consists of MRI (n=10) and CT (n=10) datasets. The MRI images are acquired at 1.4 mm isotropic resolution. The CT images are acquired at 0.5 mm in-plane resolution with a slice thickness of 1 mm. Your task is to quantify wall thickness in the left atrium provided by the images. The challenge is organised by Dr. Rashed Karim.
Organisers
E-mail stacom@inria.fr for general inquiries
- Alistair Young
- University of Auckland, New Zealand
- Mihaela Pop
- University of Toronto, Canada
- Maxime Sermesant
- Asclepios INRIA, France
- Tommaso Mansi
- Siemens Healthcare, Medical Imaging Technologies, USA
- Kawal Rhode
- King's College London, United Kingdom
- Kristin McLeod
- Simula Research Laboratory, Norway
- Rashed Karim
- King's College London, United Kingdom
- Avan Suinesiaputra
- University of Auckland, New Zealand
Sponsors
