Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers

This collection highlights the proceedings from the workshop, featuring innovative research on cardiac imaging and modeling techniques, including the Statistical Atlases and Computational Models of the Heart.

This book presents the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, known as STACOM 2022, which took place alongside the 25th MICCAI conference. It features a collection of 34 meticulously reviewed and selected workshop papers that cover a range of topics related to cardiac segmentation and modeling. These contributions address both fundamental issues and advanced methods, including generative modeling for aging hearts, biomechanical networks for learning cardiac motion, and the application of physics-informed neural networks for left atrial appendage occlusion. Additionally, the volume explores biventricular mechanics relevant to Tetralogy of Fallot and employs graph convolutional networks for predicting ventricular arrhythmias, all while analyzing racial and sex biases in machine learning-based cardiac segmentation.

Moreover, the proceedings include 14 papers from the CMRxMotion challenge, which aim to evaluate the impact of respiratory motion on cardiac MRI imaging quality. These contributions are essential in understanding how respiratory artifacts affect the robustness of segmentation models, a critical aspect of improving cardiac imaging techniques. Together, these papers contribute to the ongoing discourse in the field, showcasing innovative approaches and findings that advance the understanding of cardiac health.

With a total of 48 submissions received for the workshop, Statistical Atlases and Computational Models of the Heart serves as a vital resource for researchers and practitioners interested in the latest developments in cardiac imaging and modeling.