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<p>This paper presents a novel algorithm for hybrid landmark- and intensity-based registration of medical images. The model can be adjusted to relax the Thin Plate Spline landmark-matching constraint and cater to landmark uncertainties. Most importantly, the inclusion of the intensity term helps improve the overlap between the transformed template and reference images. The method will be applied to cardiac images in the presence of landmark localization or correspondence error and consistently yields suitable post-registration image overlaps.</p>

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Hybrid Landmark- and Intensity-Based Image Registration

  • 期刊论文

  • 发表日期：

    2025年6月17日

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  • Mia Mojica,
  • Mihaela Pop,
  • Mehran Ebrahimi

摘要

This paper presents a novel algorithm for hybrid landmark- and intensity-based registration of medical images. The model can be adjusted to relax the Thin Plate Spline landmark-matching constraint and cater to landmark uncertainties. Most importantly, the inclusion of the intensity term helps improve the overlap between the transformed template and reference images. The method will be applied to cardiac images in the presence of landmark localization or correspondence error and consistently yields suitable post-registration image overlaps.