Improving hybrid image and structure-based deformable image registration for large internal deformations.

Autor:	Lorenzo Polo A; RaySearch Laboratories, SE-104 30 Stockholm, Sweden., Nix M; Leeds Cancer Centre, Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom., Thompson C; Leeds Cancer Centre, Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom., O'Hara C; Leeds Cancer Centre, Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom., Entwisle J; Leeds Cancer Centre, Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom., Murray L; Leeds Cancer Centre, Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.; Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom., Appelt A; Leeds Cancer Centre, Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.; Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom., Weistrand O; RaySearch Laboratories, SE-104 30 Stockholm, Sweden., Svensson S; RaySearch Laboratories, SE-104 30 Stockholm, Sweden.
Jazyk:	angličtina
Zdroj:	Physics in medicine and biology [Phys Med Biol] 2024 Apr 17; Vol. 69 (9). Date of Electronic Publication: 2024 Apr 17.
DOI:	10.1088/1361-6560/ad3723
Abstrakt:	Objective. Deformable image registration (DIR) is a widely used technique in radiotherapy. Complex deformations, resulting from large anatomical changes, are a regular challenge. DIR algorithms generally seek a balance between capturing large deformations and preserving a smooth deformation vector field (DVF). We propose a novel structure-based term that can enhance the registration efficacy while ensuring a smooth DVF. Approach. The proposed novel similarity metric for controlling structures was introduced as a new term into a commercially available algorithm. Its performance was compared to the original algorithm using a dataset of 46 patients who received pelvic re-irradiation, many of which exhibited complex deformations. Main results. The mean Dice Similarity Coefficient (DSC) under the improved algorithm was 0.96, 0.94, 0.76, and 0.91 for bladder, rectum, colon, and bone respectively, compared to 0.69, 0.89, 0.62, and 0.88 for the original algorithm. The improvement was more pronounced for complex deformations. Significance. With this work, we have demonstrated that the proposed term is able to improve registration accuracy for complex cases while maintaining realistic deformations. (© 2024 Institute of Physics and Engineering in Medicine.)
Databáze:	MEDLINE
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