Literature DB >> 16551530

Linac-integrated kV-cone beam CT: technical features and first applications.

Uwe Oelfke1, Thomas Tücking, Simeon Nill, Annete Seeber, Bernd Hesse, Peter Huber, Christoph Thilmann.   

Abstract

One of the most prominent imaging techniques in image-guided radiotherapy (IGRT) is the acquisition of cone beam computed tomographies (CBCTs) at the linac with the patient in treatment position. CBCTs provide accurate 3-dimensional (3D) knowledge about the patient's anatomy for every treatment fraction and are therefore well suited for all adaptive corrections of errors related to interfractional uncertainties of the treatment process. In this paper, we first describe the technical development and implementation of this new imaging technique at our linac, i.e., the hardware components and their operating parameters are discussed in detail for a standard image acquisition of CBCTs. Then, an extension of this approach for the acquisition of complete images for extended field of views--the "shifted detector" technique--is presented followed by a first investigation of how CBCTs can be reliably used for adaptive dose calculations. Finally, a first clinical application, the process of automatic patient positioning based on CBCT images, is discussed. From our investigations, we conclude that the technical development of linac-integrated CBCTs bears an enormous potential for the correction of interfractional treatment errors. However, image quality and reconstruction speed of the images leave room for improvement. The development of clinical strategies for the optimal application of this new image modality in a clinical environment is one the major tasks for the future.

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Year:  2006        PMID: 16551530     DOI: 10.1016/j.meddos.2005.12.008

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  23 in total

1.  Monte Carlo investigations of megavoltage cone-beam CT using thick, segmented scintillating detectors for soft tissue visualization.

Authors:  Yi Wang; Larry E Antonuk; Youcef El-Mohri; Qihua Zhao; Amit Sawant; Hong Du
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

2.  Deformable registration of CT and cone-beam CT with local intensity matching.

Authors:  Seyoun Park; William Plishker; Harry Quon; John Wong; Raj Shekhar; Junghoon Lee
Journal:  Phys Med Biol       Date:  2017-01-11       Impact factor: 3.609

3.  A robotic C-arm cone beam CT system for image-guided proton therapy: design and performance.

Authors:  Chiaho Hua; Weiguang Yao; Takao Kidani; Kazuo Tomida; Saori Ozawa; Takenori Nishimura; Tatsuya Fujisawa; Ryousuke Shinagawa; Thomas E Merchant
Journal:  Br J Radiol       Date:  2017-10-09       Impact factor: 3.039

4.  A survey of image-guided radiation therapy use in the United States.

Authors:  Daniel R Simpson; Joshua D Lawson; Sameer K Nath; Brent S Rose; Arno J Mundt; Loren K Mell
Journal:  Cancer       Date:  2010-08-15       Impact factor: 6.860

5.  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

Review 6.  [Computed tomography of the lungs. A step into the fourth dimension].

Authors:  J Dinkel; C Hintze; N Rochet; C Thieke; J Biederer
Journal:  Radiologe       Date:  2009-08       Impact factor: 0.635

7.  Image quality and stability of image-guided radiotherapy (IGRT) devices: A comparative study.

Authors:  Markus Stock; Marlies Pasler; Wolfgang Birkfellner; Peter Homolka; Richard Poetter; Dietmar Georg
Journal:  Radiother Oncol       Date:  2009-08-18       Impact factor: 6.280

8.  Current concepts on imaging in radiotherapy.

Authors:  Michela Lecchi; Piero Fossati; Federica Elisei; Roberto Orecchia; Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-10-31       Impact factor: 9.236

9.  Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy.

Authors:  Xin Zhen; Hao Yan; Linghong Zhou; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2013-10-30       Impact factor: 3.609

10.  On the accuracy of a moving average algorithm for target tracking during radiation therapy treatment delivery.

Authors:  Rohini George; Yelin Suh; Martin Murphy; Jeffrey Williamson; Elizabeth Weiss; Paul Keall
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

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