Literature DB >> 22956449

Dose calculation with a cone beam CT image in image-guided radiation therapy.

Keisuke Usui1, Yasunobu Ichimaru, Yasuhiro Okumura, Katsuki Murakami, Makoto Seo, Etsuo Kunieda, Koichi Ogawa.   

Abstract

A kilo-voltage cone-beam CT (CBCT) attached to a linear accelerator can verify a target position in each radiation therapy. If CBCT images can be used in dose calculation, we can verify an actual dose distribution on every treatment day. However, the CBCT images are degraded by several factors, and so we cannot use the CBCT images directly in place of conventional multi-slice CT (MSCT) images that are used in the initial dose planning. In this paper, we proposed a new method for using CBCT and MSCT images in the calculation of a dose distribution. Our proposed method segments the CBCT and MSCT images into regions of three major organs (lungs, bones and soft tissues) by use of histogram analysis. We also calculated a value such as the median of the MSCT numbers in each region of the MSCT images, and we set three representative values to the corresponding regions of the CBCT images. In the calculation of a dose distribution, we used these modified CBCT images. The validity of our method was confirmed with experiments in which we used images of a heterogeneous phantom and patients' lungs in comparison with conventional methods. The results showed that the dose distribution determined by our method was similar to that of the initial dose plan, and our method was superior to the conventional methods in terms of pass rates of a distance-to-agreement analysis and γ analysis. The results of a dose-volume-histogram analysis also showed the accuracy of our proposed method.

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Year:  2012        PMID: 22956449     DOI: 10.1007/s12194-012-0176-z

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  12 in total

1.  Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter.

Authors:  J H Siewerdsen; D A Jaffray
Journal:  Med Phys       Date:  2001-02       Impact factor: 4.071

2.  Image-guided radiotherapy (IGRT) for prostate cancer comparing kV imaging of fiducial markers with cone beam computed tomography (CBCT).

Authors:  Brandon M Barney; R Jeffrey Lee; Diana Handrahan; Keith T Welsh; J Taylor Cook; William T Sause
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-09-23       Impact factor: 7.038

3.  Dose calculation accuracy using cone-beam CT (CBCT) for pelvic adaptive radiotherapy.

Authors:  Huaiqun Guan; Hang Dong
Journal:  Phys Med Biol       Date:  2009-10-01       Impact factor: 3.609

4.  Dose calculation on kV cone beam CT images: an investigation of the Hu-density conversion stability and dose accuracy using the site-specific calibration.

Authors:  Yi Rong; Jennifer Smilowitz; Dinesh Tewatia; Wolfgang A Tomé; Bhudatt Paliwal
Journal:  Med Dosim       Date:  2009-07-15       Impact factor: 1.482

5.  Scatter correction for cone-beam CT in radiation therapy.

Authors:  Lei Zhu; Yaoqin Xie; Jing Wang; Lei Xing
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

6.  The impact of daily setup variations on head-and-neck intensity-modulated radiation therapy.

Authors:  Theodore S Hong; Wolfgang A Tomé; Richard J Chappell; Prakash Chinnaiyan; Minesh P Mehta; Paul M Harari
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-03-01       Impact factor: 7.038

7.  Dosimetric effects of patient displacement and collimator and gantry angle misalignment on intensity modulated radiation therapy.

Authors:  L Xing; Z Lin; S S Donaldson; Q T Le; D Tate; D R Goffinet; S Wolden; L Ma; A L Boyer
Journal:  Radiother Oncol       Date:  2000-07       Impact factor: 6.280

8.  Use of kilovoltage X-ray volume imaging in patient dose calculation for head-and-neck and partial brain radiation therapy.

Authors:  Weigang Hu; Jinsong Ye; Jiazhou Wang; Xuejun Ma; Zhen Zhang
Journal:  Radiat Oncol       Date:  2010-04-19       Impact factor: 3.481

9.  Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system.

Authors:  Jerry L Barker; Adam S Garden; K Kian Ang; Jennifer C O'Daniel; He Wang; Laurence E Court; William H Morrison; David I Rosenthal; K S Clifford Chao; Susan L Tucker; Radhe Mohan; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-07-15       Impact factor: 7.038

10.  A study on adaptive IMRT treatment planning using kV cone-beam CT.

Authors:  George X Ding; Dennis M Duggan; Charles W Coffey; Matthew Deeley; Dennis E Hallahan; Anthony Cmelak; Arnold Malcolm
Journal:  Radiother Oncol       Date:  2007-08-20       Impact factor: 6.280

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  8 in total

1.  Validation of a deformable image registration technique for cone beam CT-based dose verification.

Authors:  M Moteabbed; G C Sharp; Y Wang; A Trofimov; J A Efstathiou; H-M Lu
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

Review 2.  Photon counting detectors and their applications ranging from particle physics experiments to environmental radiation monitoring and medical imaging.

Authors:  Ryosuke Ota
Journal:  Radiol Phys Technol       Date:  2021-03-19

3.  Feasibility of offline head & neck adaptive radiotherapy using deformed planning CT electron density mapping on weekly cone beam computed tomography.

Authors:  Anantharaman Ayyalusamy; Subramani Vellaiyan; Subramanian Shanmugam; Arivarasan Ilamurugu; Arun Gandhi; Thirumalaiswamy Shanmugam; Kathirvel Murugesan
Journal:  Br J Radiol       Date:  2016-10-26       Impact factor: 3.039

4.  Target volume coverage and dose to organs at risk in prostate cancer patients. Dose calculation on daily cone-beam CT data sets.

Authors:  P Hüttenrauch; M Witt; D Wolff; S Bosold; R Engenhart-Cabillic; J Sparenberg; H Vorwerk; K Zink
Journal:  Strahlenther Onkol       Date:  2014-01-16       Impact factor: 3.621

5.  An uncertainty metric to evaluate deformation vector fields for dose accumulation in radiotherapy.

Authors:  Akihiro Takemura; Akira Nagano; Hironori Kojima; Tomohiro Ikeda; Noriomi Yokoyama; Kosuke Tsukamoto; Kimiya Noto; Naoki Isomura; Shinichi Ueda; Hiroki Kawashima
Journal:  Phys Imaging Radiat Oncol       Date:  2018-05-31

6.  Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy.

Authors:  Wen Chen; Yimin Li; Nimu Yuan; Jinyi Qi; Brandon A Dyer; Levent Sensoy; Stanley H Benedict; Lu Shang; Shyam Rao; Yi Rong
Journal:  Front Artif Intell       Date:  2021-02-11

7.  Impact of the Intra- and Inter-observer Variability in the Delineation of Parotid Glands on the Dose Calculation During Head and Neck Helical Tomotherapy.

Authors:  T Piotrowski; K Gintowt; A Jodda; A Ryczkowski; W Bandyk; B Ba K; M Adamczyk; M Skorska; J Kazmierska; J Malicki
Journal:  Technol Cancer Res Treat       Date:  2015-08

8.  Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer.

Authors:  Adrian Thummerer; Carmen Seller Oria; Paolo Zaffino; Arturs Meijers; Gabriel Guterres Marmitt; Robin Wijsman; Joao Seco; Johannes Albertus Langendijk; Antje-Christin Knopf; Maria Francesca Spadea; Stefan Both
Journal:  Med Phys       Date:  2021-11-16       Impact factor: 4.506

  8 in total

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