Streamlining 4D Cardiac Image Workflows: Open-Source Tools for Segmentation, Registration, and Visualization

Area of Science:

• Medical Imaging
• Computational Biology
• Software Development

Background:

• Four-dimensional (4D) cardiac imaging provides critical insights into dynamic heart structures.
• Current 3D software tools present challenges for efficient 4D data analysis, requiring extra user effort.
• There is a need for specialized, user-friendly software optimized for 4D cardiac imaging workflows.

Purpose of the Study:

• To introduce and describe three novel, open-source software applications specifically developed for 4D cardiac imaging analysis.
• To streamline the process of image input/output, visualization, segmentation, registration, and model generation for 4D cardiac data.
• To provide researchers with efficient and accessible tools for exploring complex 4D cardiac dynamics.

Main Methods:

• Development of three distinct software applications: ITK-SNAP 4 for I/O and segmentation, Greedy Propagation for registration and 4D segmentation creation, and Scherzo for web-based 4D model generation.
• Focus on native 4D optimization, ensuring a streamlined user experience and comprehensive feature set.
• Testing and validation of core functionalities to demonstrate feasibility and consistency across different 4D cardiac image formats.

Main Results:

• Successful development and implementation of ITK-SNAP 4, Greedy Propagation, and Scherzo as natively 4D-optimized tools.
• Demonstrated capability for efficient 4D image input/output, visualization, segmentation, and registration.
• Validation of fast web-based 4D model generation and visualization with broad file type support, including common 4D cardiac formats.
• Experimental results confirm the feasibility and consistency of the developed software's core features.

Conclusions:

• The introduced open-source software suite offers a significant advancement for 4D cardiac imaging analysis.
• These tools provide a more integrated and efficient user experience compared to conventional methods.
• The developed applications are poised to facilitate deeper understanding and exploration of structural heart dynamics through improved 4D data processing.