Evaluation of the geometric and dosimetric accuracies of deformable image registration of targets and critical organs in prostate CBCT-guided adaptive radiotherapy.

deformable image registration dose distribution kVCBCT optical flow radiotherapy

Journal

Journal of applied clinical medical physics
ISSN: 1526-9914
Titre abrégé: J Appl Clin Med Phys
Pays: United States
ID NLM: 101089176

Informations de publication

Date de publication:
13 Sep 2024
Historique:
revised: 07 06 2024
received: 29 11 2023
accepted: 15 07 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 13 9 2024
Statut: aheadofprint

Résumé

Kilovoltage cone beam computed tomography (kVCBCT)-guided adaptive radiation therapy (ART) uses daily deformed CT (dCT), which is generated automatically through deformable registration methods. These registration methods may perform poorly in reproducing volumes of the target organ, rectum, and bladder during treatment. We analyzed the registration errors between the daily kVCBCTs and corresponding dCTs for these organs using the default optical flow algorithm and two registration procedures. We validated the effectiveness of these registration methods in replicating the geometry for dose calculation on kVCBCT for ART. We evaluated three deformable image registration (DIR) methods to assess their registration accuracy and dose calculation effeciency in mapping target and critical organs. The DIR methods include (1) default intensity-based deformable registration, (2) hybrid deformable registration, and (3) a two-step deformable registration process. Each technique was applied to a computerized imaging reference system (CIRS) phantom (Model 062 M) and to five patients who received volumetric modulated arc therapy to the prostate. Registration accuracy was assessed using the 95% Hausdorff distance (HD The dCT images generated by the hybrid (dCT The two-step registration method outperforms the intensity-based and hybrid registration methods. While the hybrid and two-step-based methods improved the image quality of kVCBCT in a linear accelerator, only the two-step method improved the registration accuracy of the corresponding structures among the pCT and kVCBCT datasets. A two-step registration process is recommended for applying kVCBCT to ART, which achieves better registration accuracy for local and global image structures. This method appears to be beneficial for radiotherapy dose calculation in patients with pelvic cancer.

Identifiants

pubmed: 39270157
doi: 10.1002/acm2.14490
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14490

Informations de copyright

© 2024 The Author(s). Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.

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Auteurs

Hussam Hameed Jassim (HH)

Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Radiation Oncology Research Centre, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Radiotherapy Physics Department, Najaf Teaching Hospital, Najaf, Iraq.

Hassan Ali Nedaie (HA)

Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Radiation Oncology Research Centre, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.

Nooshin Banaee (N)

Medical Radiation Research Center, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

Ghazale Geraily (G)

Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Radiation Oncology Research Centre, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.

Ali Kazemian (A)

Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Radiation Oncology Research Centre, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.

Danial Seifi Makrani (DS)

Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Classifications MeSH