The Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop has been running annually at MICCAI since 2010. The 12th edition of STACOM workshop will be held in conjunction with the MICCAI 2021 in Strasbourg, France. The STACOM workshop is aiming 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.
27 September 2021
|9:10 UTC||From Spins to Pictures to Digital Organs and Back
Keynote speaker: Sebastian Kozerke, Professor of Biomedical Imaging, ETH Zurich
Among the diagnostic imaging modalities, Magnetic Resonance (MR) imaging stands out as it offers a wealth of contrast mechanisms. Using bipolar magnetic field gradients, motion of spins can be encoded. Depending on the scale or range of motion, modulations of image magnitude or phase can be detected. Coherent motion, as for example found with blood flow in larger vessels, is readily quantifiable as a phase change in the images while incoherent or stochastic motion, as with diffusing water in tissue, is detectable as image voxel-based magnitude attenuation. While both types of motion are encoded with essentially the same MR experiment, they offer very distinct insights into in-vivo anatomy and function.
Beyond motion-sensitive imaging, metabolic MR imaging offers yet another angle of capturing the complex interplay of mechanisms in-vivo. While MR has profited from the abundance of water in the human body, probing non-proton substrates has turned out very challenging given the low polarization of non-proton nuclei, the low concentration of non-proton-based substrates such as organic molecules and the limited sensitivity of detecting non-proton compounds. With break-through advances in dissolution Dynamic Nuclear Polarization (DNP) technology a new era has started allowing for real-time MR imaging of key metabolic substrates in the in-vivo heart and other organs.
In this presentation, we will discuss the importance of understanding the interplay of substrate supply, substrate metabolism and function of the heart. It will be demonstrated that changes in metabolic turnover present early hallmarks of deranging function as seen for example in heart failure. In the presentation the basic ideas of encoding flow, diffusion and metabolic information will be conveyed and critically discussed. The importance of discriminating between an analog encoding realm versus digital inference will be stressed and set in contrast to common beliefs in voxel-based information as it is currently witnessed with machine learning based image classifications. We will show the role of MR image-guided digital organs for inferring sub-voxel information from in-vivo measurements and will paint a future scenario of patient-specific in-silico diagnostics and prediction including approaches to optimal experimental design of imaging.
|10:00 UTC||Regular papers (each: 2 min presentation, 8 min Q&A)
|11:15 UTC||Poster session 1
|12:00 UTC||Lunch break|
|13:00 UTC||M2Ms-2 (Multi-Disease, Multi-View & Multi-Center Right) Right Ventricular Challenge results|
|15:15 UTC||Poster session 2
|16:00 UTC||Regular papers (each: 2 min presentation, 8 min Q&A)
|17:12 UTC||Prizes and closing|
The STACOM 2021 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
The STACOM 2021 workshop will accept 8-page papers (LNCS-Springer format) as regular submissions or challenges. General rules for the submission:
- Initial submission must be anonymised and limited to 8 LNCS pages including the References.
- Use the LNCS templates/guidelines.
- Camera-ready version of accepted papers should include authors’ names & affiliations and can be up to 12 pages
Note that there might be 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).
M&Ms-2: Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
In this challenge, we invite participants to implement and evaluate advanced approaches based on machine/deep learning for right ventricular segmentation in a multi-disease, multi-view and multi-center setting. A novel aspect of this challenge is the inclusion of long-axis images to help the automatic definition of the basal plane of the RV, which can be confused with the right atrium.