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Accurate computing, modeling and analysis of the whole heart substructures is important in the development of clinical applications. Segmentation and registration of whole heart images is however challenging and still relies heavily on manual work, which is time-consuming and prone to errors.
The Challenge provides 120 multi-modality cardiac images acquired in real clinical environment. It aims at creating an open and fair competition for various research groups to test and validate their methods, particularly for the multi-modality whole heart segmentation. The workshop is not only to benchmark various whole heart segmentation algorithms, but also to cover the topic of general cardiac image segmentation and registration and modeling.
The best works will be awarded with prizes funded by Nvidia and the Arterys.com; and the selected papers will be published in Lecture Notes in Computer Science (LNCS), Springer with STACOM workshop (see previous proceedings). In addition, the benchmarked algorithms will be summarised to form a full paper for potential publications in MedIA and IEEE TMI, and the participants will share the credit.
Whole heart segmentation (WHS), including
- Atlas based WHS
- Statistical shape model based WHS
- Deep learning WHS
- Other methods
General cardiac image segmentation
Registration and modeling for cardiac images