Deformable image registration in radiation therapy

Dowling, Jason; O'Connor, Laura M

doi:10.1002/jmrs.446

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Sensitivity of DIR algorithms to image noise, resolution (Constable and Henkelman 1991 , Verdun et al 2015 , Zhao et al 2016 , Sarrut et al 2017 ), field of view (Barber et al 2020 ) and image contrast (Mencarelli et al 2014 , Barber et al 2020 , Dowling and O’Connor 2020 ) has been demonstrated in the literature. However, other studies find that the effect of image noise has only minor effects on DIR results for computed tomography (CT) to CT registrations (Nesteruk et al 2022 ).…”

Section: Source Of Uncertaintiesmentioning

confidence: 98%

Review and recommendations on deformable image registration uncertainties for radiotherapy applications

Nenoff,

Amstutz,

Murr

et al. 2023

Phys. Med. Biol.

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Deformable image registration (DIR) is a versatile tool used in many applications in radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment planning systems providing accessible and easy-to-use solutions. However, the geometric uncertainty of DIR can be large and difficult to quantify, resulting in barriers to clinical practice. Currently, there is no agreement in the RT community on how to quantify these uncertainties and determine thresholds that distinguish a good DIR result from a poor one. This review summarises the current literature on sources of DIR uncertainties and their impact on RT applications. Recommendations are provided on how to handle these uncertainties for patient-specific use, commissioning, and research. Recommendations are also provided for developers and vendors to help users to understand DIR uncertainties and make the application of DIR in RT safer and more reliable.

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Section: Source Of Uncertaintiesmentioning

confidence: 98%

Review and recommendations on deformable image registration uncertainties for radiotherapy applications

Nenoff,

Amstutz,

Murr

et al. 2023

Phys. Med. Biol.

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“…The use of DIR may also be crucial for fusing multiple imaging modalities to deliver accurate radiation therapy to upright patients ( 44 , 45 ). Intermodality fusion is already a standard part of supine treatment, used to assist with target and critical organ delineation ( 46 ).…”

Section: Simulation Imagingmentioning

confidence: 99%

Please Place Your Seat in the Full Upright Position: A Technical Framework for Landing Upright Radiation Therapy in the 21st Century

et al. 2022

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Delivering radiotherapy to patients in an upright position can allow for increased patient comfort, reduction in normal tissue irradiation, or reduction of machine size and complexity. This paper gives an overview of the requirements for the delivery of contemporary arc and modulated radiation therapy to upright patients. We explore i) patient positioning and immobilization, ii) simulation imaging, iii) treatment planning and iv) online setup and image guidance. Treatment chairs have been designed to reproducibly position seated patients for treatment and can be augmented by several existing immobilisation systems or promising emerging technologies such as soft robotics. There are few solutions for acquiring CT images for upright patients, however, cone beam computed tomography (CBCT) scans of upright patients can be produced using the imaging capabilities of standard Linacs combined with an additional patient rotation device. While these images will require corrections to make them appropriate for treatment planning, several methods indicate the viability of this approach. Treatment planning is largely unchanged apart from translating gantry rotation to patient rotation, allowing for a fixed beam with a patient rotating relative to it. Rotation can be provided by a turntable during treatment delivery. Imaging the patient with the same machinery as used in treatment could be advantageous for online plan adaption. While the current focus is using clinical linacs in existing facilities, developments in this area could also extend to lower-cost and mobile linacs and heavy ion therapy.

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“…Deformable image registration (DIR) is commonly applied for contour propagation but controversial for dose propagation mainly due to the mass change of organs or tumours [11] [12] [13] [14]. A comparison of re-segmentation on rCT between DIR and DLC has not yet been made.…”

Section: Introductionmentioning

confidence: 99%

A novel semi auto-segmentation method for accurate dose and NTCP evaluation in adaptive head and neck radiotherapy

Gan

Langendijk

Oldehinkel

et al. 2021

Radiotherapy and Oncology

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Deformable image registration in radiation therapy

Abstract: Deformable image registration is an increasingly important method to account for soft tissue deformation between image acquisitions. This editorial discusses the clinical need and current status of deformable image registration.

Cited by 5 publications

References 10 publications

Review and recommendations on deformable image registration uncertainties for radiotherapy applications

Review and recommendations on deformable image registration uncertainties for radiotherapy applications

Please Place Your Seat in the Full Upright Position: A Technical Framework for Landing Upright Radiation Therapy in the 21st Century

A novel semi auto-segmentation method for accurate dose and NTCP evaluation in adaptive head and neck radiotherapy

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