Evaluation of mechanical and geometric accuracy of two different image guidance systems in radiotherapy

Kanakavelu, Nithya; Ravindran, Anand Mambakam; Samuel, E. James Jebaseelan

doi:10.1016/j.rpor.2015.11.005

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…22,23 The complement way of evaluation is based on the comparisons of the real or planned motions that are simulated in physical or computational phantoms with the results of registrations. [24][25][26][27][28][29] Despite the commercial implementation, scientists are constantly developing new methods of registration, contributing constantly to their precision and efficiency. [30][31][32] It is important because current practice shows that there is no ideal registration algorithm and the selection of one of them should be dictated by specific clinical situations.…”

Section: Deformable Registration Quality Controlmentioning

confidence: 99%

Registration methods in radiotherapy

Czajkowski

Piotrowski

2019

Reports of Practical Oncology & Radiotherapy

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The aim of this study is to present a short and comprehensive review of the methods of medical image registration, their conditions and applications in radiotherapy. A particular focus was placed on the methods of deformable image registration.Methods: To structure and deepen the knowledge on medical image registration in radiotherapy, a medical literature analysis was made using the Google Scholar browser and the medical database of the PubMed library.Results: Chronological review of image registration methods in radiotherapy based on 34 selected articles. A particular attention was given to show: (i) potential regions of the application of different methods of registration, (ii) mathematical basis of the deformable methods and (iii) the methods of quality control for the registration process. Conclusions:The primary aim of the medical image registration process is to connect the contents of images. What we want to achieve is a complementary or extended knowledge that can be used for more precise localisation of pathogenic lesions and continuous improvement of patient treatment. Therefore, the choice of imaging mode is dependent on the type of clinical study. It is impossible to visualise all anatomical details or functional changes using a single modality machine. Therefore, fusion of various modality images is of great clinical relevance. A natural problem in analysing the fusion of medical images is geographical errors related to displacement. The registered images are performed not at the same time and, very often, at different respiratory phases.

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Section: Deformable Registration Quality Controlmentioning

confidence: 99%

Registration methods in radiotherapy

Czajkowski

Piotrowski

2019

Reports of Practical Oncology & Radiotherapy

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“…The acquisition of kilovoltage cone-beam CT (CBCT) is currently considered the standard of care in prostate image-guided radiotherapy (IGRT) [ 1 ]. It allows the visualization of the prostate and nearby organs at risk (OARs) down to a geometric accuracy level of approximately 1 mm and enables the 3D registration of soft tissues by planning CT (pCT) [ 2 ]. Some anatomical variations after pCT cannot be corrected by IGRT alone and result in clinically significant changes in the administered doses [ 3 ], and, if hypofractionated scheme treatments are used, become amplified, because each fraction represents a higher proportion of the overall dose [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

The Usefulness of Adaptative Radiotherapy in Prostate Cancer: How, When, and Who?

et al. 2022

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The aim of this study was to develop a deformable image registration (DIR)-based offline ART protocol capable of identifying significant dosimetric changes in the first treatment fractions to determine when adaptive replanning is needed. A total of 240 images (24 planning CT (pCT) and 216 kilovoltage cone-beam CT (CBCT)) were prospectively acquired from 24 patients with prostate adenocarcinoma during the first three weeks of their treatment (76 Gy in 38 fractions). This set of images was used to plan a hypofractionated virtual treatment (57.3 Gy in 15 fractions); correlation with the DIR of pCT and each CBCT allowed to translate planned doses to each CBCT, and finally mapped back to the pCT to compare with those actually administered. In 37.5% of patients, doses administered in 50% of the rectum (D50) would have exceeded the dose limitation to 50% of the rectum (R50). We first observed a significant variation of the planned rectal volume in the CBCTs of fractions 1, 3, and 5. Then, we found a significant relationship between the D50 accumulated in fractions 1, 3, and 5 and the lack of compliance with the R50. Finally, we found that a D50 variation rate [100 × (administered D50 − planned D50/planned D50)] > 1% in fraction three can reliably identify variations in administered doses that will lead to exceeding rectal dose constraint.

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