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4D cardiac imaging offers impactful insights into structural heart dynamics. However, analyzing 4D data using conventional 3D software tools requires additional effort. This paper introduces three natively 4D-optimized software applications we have developed: ITK-SNAP 4 for 4D image I/O, visualization, and segmentation; Greedy Propagation for intra-series registration and creation of 4D segmentation from sparse 3D segmentations; and Scherzo for fast web-based 4D model generation and visualization. These open-source tools provide a streamlined user experience, comprehensive features, and broad file type support including common 4D cardiac image formats. Experiments on core features demonstrate feasibility and consistency.

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

  • 会议论文

  • 发表日期：

    2025年

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  • Jilei Hao,
  • Paul A. Yushkevich,
  • Ningjun J. Dong,
  • Silvani Amin,
  • Zaiyang Guo,
  • Natalie Yushkevich,
  • Ankush Aggarwal,
  • Alison M. Pouch

摘要

4D cardiac imaging offers impactful insights into structural heart dynamics. However, analyzing 4D data using conventional 3D software tools requires additional effort. This paper introduces three natively 4D-optimized software applications we have developed: ITK-SNAP 4 for 4D image I/O, visualization, and segmentation; Greedy Propagation for intra-series registration and creation of 4D segmentation from sparse 3D segmentations; and Scherzo for fast web-based 4D model generation and visualization. These open-source tools provide a streamlined user experience, comprehensive features, and broad file type support including common 4D cardiac image formats. Experiments on core features demonstrate feasibility and consistency.