Literature DB >> 20100157

Reduction of Cone-Beam CT scan time without compromising the accuracy of the image registration in IGRT.

Jonas Westberg1, Henrik R Jensen, Anders Bertelsen, Carsten Brink.   

Abstract

BACKGROUND: In modern radiotherapy accelerators are equipped with 3D cone-beam CT (CBCT) which is used to verify patient position before treatment. The verification is based on an image registration between the CBCT acquired just before treatment and the CT scan made for the treatment planning. The purpose of this study is to minimise the scan time of the CBCT without compromising the accuracy of the image registration in IGRT.
MATERIAL AND METHODS: Fast scans were simulated by reducing the number of acquired projection images, i.e. new reconstructions based on a subset of the original projections were made. The deviation between the registrations of these new reconstructions and the original registration was measured as function of the amount of reduction. RESULTS AND DISCUSSION: Twenty nine head and neck (H&N) and 11 stereotactic lung patients were included in the study. The mean of the registration deviation did not differ significantly from zero independently of the number of projections included in the reconstruction. Except for the smallest subset of reconstructions (10% and 25% of the original projection for the lung and H&N patients, respectively) the standard deviation of the registration differences was constant. The standard deviations were approximately 0.1 mm and 0.2 mm for the H&N and lung group, respectively. Based on these results an in-house developed solution, able to reduce the Cone-Beam CT scan time, has been implemented clinically.

Entities:  

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Year:  2010        PMID: 20100157     DOI: 10.3109/02841860903386408

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  5 in total

1.  Optimization of an on-board imaging system for extremely rapid radiation therapy.

Authors:  Erica M Cherry Kemmerling; Meng Wu; He Yang; Peter G Maxim; Billy W Loo; Rebecca Fahrig
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

2.  Optimal parameters for clinical implementation of breast cancer patient setup using Varian DTS software.

Authors:  Sook Kien Ng; Piotr Zygmanski; Andrew Jeung; Hassan Mostafavi; Juergen Hesser; Jennifer R Bellon; Julia S Wong; Yulia Lyatskaya
Journal:  J Appl Clin Med Phys       Date:  2012-05-10       Impact factor: 2.102

3.  The Value of CBCT-based Tumor Density and Volume Variations in Prediction of Early Response to Chemoradiation Therapy in Advanced NSCLC.

Authors:  Qiang Wen; Jian Zhu; Xue Meng; Changsheng Ma; Tong Bai; Xindong Sun; Jinming Yu
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

4.  Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients.

Authors:  Qingjin Qin; Anhui Shi; Ran Zhang; Qiang Wen; Tianye Niu; Jinhu Chen; Qingtao Qiu; Yidong Wan; Xiaorong Sun; Ligang Xing
Journal:  Thorac Cancer       Date:  2020-02-15       Impact factor: 3.500

5.  Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory-correlated CBCT data-sets.

Authors:  Sheeba Thengumpallil; Damien Racine; Jean-François Germond; Nicolas Péguret; Jean Bourhis; François Bochud; Raphaël Moeckli
Journal:  J Appl Clin Med Phys       Date:  2020-09-30       Impact factor: 2.102

  5 in total

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