Evidence map›Paper›PMID 41206356›Full record

ArticleMedical physics2025

Local rigidity constraints for deformable image registration in CBCT-guided radiotherapy.

Tom J W Draper, Cornel Zachiu, Bas W Raaymakers

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tom J W DraperDepartment of Radiotherapy, UMC Utrecht, Heidelberglaan, CX, The Netherlands.
Cornel ZachiuDepartment of Radiotherapy, UMC Utrecht, Heidelberglaan, CX, The Netherlands.
Bas W RaaymakersDepartment of Radiotherapy, UMC Utrecht, Heidelberglaan, CX, The Netherlands.

Funding

Health~Holland
6 · The paper itself

Abstract

backgroundDeformable image registration (DIR) is a critical component for planning and quality assurance in CBCT-guided adaptive radiotherapy treatment. Conventional DIR methods apply a uniform regularization over the image domain, failing to account for the local biomechanical properties of different tissues. Recent advancements emphasize the need for spatially varying models to improve anatomical plausibility. PURPOSE: This study aims to introduce a novel, lightweight framework that incorporates local rigidity constraints in DIR to improve anatomical consistency and motion estimation accuracy. The approach is designed to be general, computationally efficient, and compatible with existing DIR pipelines.

methodsThe proposed framework jointly optimizes the rigid-body transformation and the surrounding tissue deformations. The proposed framework was evaluated on

resultsAcross

conclusionsThe proposed framework enforces local rigidity constraints during DIR, increasing accuracy without significantly compromising speed. It removes anatomically implausible deformations in rigid structures. Its efficiency and anatomical reliability make it well-suited for CBCT-guided adaptive radiotherapy.

Indexed as

Cone-Beam Computed TomographyImage Processing, Computer-AssistedRadiotherapy, Image-GuidedAlgorithmsBiomechanical PhenomenaHumansdeformable image registrationimage‐guided radiotherapylocal rigidity constraints

Identifiers

PMID41206356
PMCPMC12598748

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.