Literature DB >> 15890419

Cone-beam-CT guided radiation therapy: A model for on-line application.

Mark Oldham1, Daniel Létourneau, Lindsay Watt, Geoffrey Hugo, Di Yan, David Lockman, Leonard H Kim, Peter Y Chen, Alvaro Martinez, John W Wong.   

Abstract

BACKGROUND AND
PURPOSE: This paper presents efficient and generalized processes for the clinical application of on-line X-ray volumetric cone-beam CT imaging (XVI) to improve the accuracy of patient set-up in radiation therapy. XVI image-guided therapy is illustrated by application to two contrasting sites, intra-cranial radiosurgery and prostate radiation therapy, with very different characteristics regarding organ motion, treatment precision, and imaging conditions. PATIENTS AND METHODS: On-line set-up errors are determined in a two-step process. First the XVI data is registered to the planning data by matching the machine-isocenter with the planning-isocenter, respectively. The machine isocenter is defined in the XVI data during the reconstruction. The planning-isocenter is defined during the planning process in the planning CT data. Set-up errors are then determined from a second registration to remove residual displacements. The accuracy of the entire procedure for on-line set-up error correction was investigated in precision radiosurgery phantom studies.
RESULTS: The phantom studies showed that sub-pixel size set-up errors (down to 0.5mm) can be correctly determined and implemented in the radiosurgery environment. XVI is demonstrated to provide quality skull detail enabling precise skull based on-line alignment in radiosurgery. A 'local XVI' technique was found to give encouraging soft-tissue detail in the high-scatter pelvic environment, enabling on-line soft-tissue based set-up for prostate treatment. The two-step process for determination of set-up errors was found to be efficient and effective when implemented with a dedicated six panel interface enabling simultaneous visualization on the XVI and planning CT data sets.
CONCLUSIONS: XVI has potential to significantly improve the accuracy of radiation treatments. Present image quality is highly encouraging and can enable bony and soft-tissue patient set-up error determination and correction. As with all image guided treatment techniques the development of efficient procedures to utilize on-line data are of paramount importance.

Entities:  

Mesh:

Year:  2005        PMID: 15890419     DOI: 10.1016/j.radonc.2005.03.026

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  47 in total

1.  Localization accuracy of the clinical target volume during image-guided radiotherapy of lung cancer.

Authors:  Geoffrey D Hugo; Elisabeth Weiss; Ahmed Badawi; Matthew Orton
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-27       Impact factor: 7.038

2.  Feasibility of low-dose single-view 3D fiducial tracking concurrent with external beam delivery.

Authors:  Michael A Speidel; Brian P Wilfley; Annie Hsu; Dimitre Hristov
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  Image-based modeling of tumor shrinkage in head and neck radiation therapy.

Authors:  Ming Chao; Yaoqin Xie; Eduardo G Moros; Quynh-Thu Le; Lei Xing
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

4.  Assessment of dose reconstruction errors in image-guided radiation therapy.

Authors:  Hualiang Zhong; Elisabeth Weiss; Jeffrey V Siebers
Journal:  Phys Med Biol       Date:  2008-01-11       Impact factor: 3.609

5.  On the accuracy of isocenter verification with kV imaging in stereotactic radiosurgery.

Authors:  Rolf Wiehle; Hans-Jürgen Koth; Norbert Nanko; Anca-Ligia Grosu; Norbert Hodapp
Journal:  Strahlenther Onkol       Date:  2009-05-15       Impact factor: 3.621

6.  Fast reconstruction of digital tomosynthesis using on-board images.

Authors:  Hui Yan; Devon J Godfrey; Fang-Fang Yin
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

7.  Development of a QA phantom and automated analysis tool for geometric quality assurance of on-board MV and kV x-ray imaging systems.

Authors:  Weihua Mao; Louis Lee; Lei Xing
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

8.  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

9.  Estimation of CT cone-beam geometry using a novel method insensitive to phantom fabrication inaccuracy: implications for isocenter localization accuracy.

Authors:  J Chetley Ford; Dandan Zheng; Jeffrey F Williamson
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

10.  Improved cone-beam computed tomography in supine and prone breast radiotherapy. Surface reconstruction, radiation exposure, and clinical workflow.

Authors:  A De Puysseleyr; T Mulliez; A Gulyban; E Bogaert; T Vercauteren; T Van Hoof; J Van de Velde; R Van Den Broecke; C De Wagter; W De Neve
Journal:  Strahlenther Onkol       Date:  2013-10-03       Impact factor: 3.621

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