Trial reportThe British journal of radiology2012
An evaluation of four CT-MRI co-registration techniques for radiotherapy treatment planning of prone rectal cancer patients.
Trial report in The British journal of radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Towards MRI-Only Mandibular Resection Planning: CT-like Bone Segmentation from Routine T1 MRI Images Using Deep Learning.Craniomaxillofacial trauma & reconstruction · 2025Article
- Clinical implementation of patient-specific quality assurance for synthetic computed tomography.Physics and imaging in radiation oncology · 2025Article
- A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.Journal of imaging informatics in medicine · 2024Article
- Definition of a coordinate system for multi-modal images of the temporal bone and inner ear.PloS one · 2024Article
- Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN.Frontiers in oncology · 2024Article
- Joint synthesis and registration network for deformable MR-CBCT image registration for neurosurgical guidance.Physics in medicine and biology · 2022Article
- MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy.Physical and engineering sciences in medicine · 2022Article
- Validation of an MRI-only planning workflow for definitive pelvic radiotherapy.Radiation oncology (London, England) · 2022Article
- Comparison of Synthetic Computed Tomography Generation Methods, Incorporating Male and Female Anatomical Differences, for Magnetic Resonance Imaging-Only Definitive Pelvic Radiotherapy.Frontiers in oncology · 2022Article
- The benefit of MR-only radiotherapy treatment planning for anal and rectal cancers: A planning study.Journal of applied clinical medical physics · 2021Article
- Article
- Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.Medical physics · 2021Article
- Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks.Medical physics · 2021Article
- Fully Automatic Registration Methods for Chest X-Ray Images.Journal of medical and biological engineering · 2021Article
- A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020Article
- Voxel-level biological optimisation of prostate IMRT using patient-specific tumour location and clonogen density derived from mpMRI.Radiation oncology (London, England) · 2020Article
- Development of a hybrid magnetic resonance/computed tomography-compatible phantom for magnetic resonance guided radiotherapy.Journal of radiation research · 2020Article
- Multimodality image registration in the head-and-neck using a deep learning-derived synthetic CT as a bridge.Medical physics · 2020Article
- MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.Physics in medicine and biology · 2019Article
- Geometric and dosimetric impact of anatomical changes for MR-only radiation therapy for the prostate.Journal of applied clinical medical physics · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesMRI is the preferred staging modality for rectal carcinoma patients. This work assesses the CT-MRI co-registration accuracy of four commercial rigid-body techniques for external beam radiotherapy treatment planning for patients treated in the prone position without fiducial markers.
methods17 patients with biopsy-proven rectal carcinoma were scanned with CT and MRI in the prone position without the use of fiducial markers. A reference co-registration was performed by consensus of a radiologist and two physicists. This was compared with two automated and two manual techniques on two separate treatment planning systems. Accuracy and reproducibility were analysed using a measure of target registration error (TRE) that was based on the average distance of the mis-registration between vertices of the clinically relevant gross tumour volume as delineated on the CT image.
resultsAn automated technique achieved the greatest accuracy, with a TRE of 2.3 mm. Both automated techniques demonstrated perfect reproducibility and were significantly faster than their manual counterparts. There was a significant difference in TRE between registrations performed on the two planning systems, but there were no significant differences between the manual and automated techniques.
conclusionFor patients with rectal cancer, MRI acquired in the prone treatment position without fiducial markers can be accurately registered with planning CT. An automated registration technique offered a fast and accurate solution with associated uncertainties within acceptable treatment planning limits.
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