Literature DB >> 16551527

In-room CT techniques for image-guided radiation therapy.

C-M Charlie Ma1, Kamen Paskalev.   

Abstract

Accurate patient setup and target localization are essential to advanced radiation therapy treatment. Significant improvement has been made recently with the development of image-guided radiation therapy, in which image guidance facilitates short treatment course and high dose per fraction radiotherapy, aiming at improving tumor control and quality of life. Many imaging modalities are being investigated, including x-ray computed tomography (CT), ultrasound imaging, positron emission tomography, magnetic resonant imaging, magnetic resonant spectroscopic imaging, and kV/MV imaging with flat panel detectors. These developments provide unique imaging techniques and methods for patient setup and target localization. Some of them are different; some are complementary. This paper reviews the currently available kV x-ray CT systems used in the radiation treatment room, with a focus on the CT-on-rails systems, which are diagnostic CT scanners moving on rails installed in the treatment room. We will describe the system hardware including configurations, specifications, operation principles, and functionality. We will review software development for image fusion, structure recognition, deformation correction, target localization, and alignment. Issues related to the clinical implementation of in-room CT techniques in routine procedures are discussed, including acceptance testing and quality assurance. Clinical applications of the in-room CT systems for patient setup, target localization, and adaptive therapy are also reviewed for advanced radiotherapy treatments.

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Year:  2006        PMID: 16551527     DOI: 10.1016/j.meddos.2005.12.010

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


  24 in total

1.  Numerical deconvolution to enhance sharpness and contrast of portal images for radiotherapy patient positioning verification.

Authors:  H K Looe; Y Uphoff; D Harder; B Poppe; K C Willborn
Journal:  Strahlenther Onkol       Date:  2012-01-12       Impact factor: 3.621

Review 2.  A review of image-guided radiotherapy.

Authors:  George T Y Chen; Gregory C Sharp; Shinichiro Mori
Journal:  Radiol Phys Technol       Date:  2008-12-16

3.  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

4.  Cakes for cure: the role of charities in the embedding of innovative cancer treatment technologies.

Authors:  Lisa Ashmore
Journal:  Health Expect       Date:  2011-05-25       Impact factor: 3.377

5.  Monte Carlo investigations of the effect of beam divergence on thick, segmented crystalline scintillators for radiotherapy imaging.

Authors:  Yi Wang; Youcef El-Mohri; Larry E Antonuk; Qihua Zhao
Journal:  Phys Med Biol       Date:  2010-06-04       Impact factor: 3.609

6.  Subject-specific four-dimensional liver motion modeling based on registration of dynamic MRI.

Authors:  Yolanda H Noorda; Lambertus W Bartels; Max A Viergever; Josien P W Pluim
Journal:  J Med Imaging (Bellingham)       Date:  2016-02-19

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

Authors:  Nithya Kanakavelu; Anand Mambakam Ravindran; Emmanvelrajan James Jebaseelan Samuel
Journal:  Rep Pract Oncol Radiother       Date:  2016-01-04

8.  Adaptive off-line protocol for prostate external radiotherapy with cone beam computer tomography.

Authors:  M Piziorska; P Kukołowicz; A Zawadzka; M Pilichowska; P Pęczkowski
Journal:  Strahlenther Onkol       Date:  2012-10-10       Impact factor: 3.621

9.  Reduction of prostate intrafractional motion from shortening the treatment time.

Authors:  Jin Sheng Li; Mu-Han Lin; Mark K Buyyounouski; Eric M Horwitz; Chang-Ming Ma
Journal:  Phys Med Biol       Date:  2013-06-25       Impact factor: 3.609

10.  Esophageal motion during radiotherapy: quantification and margin implications.

Authors:  R J Cohen; K Paskalev; S Litwin; R A Price; S J Feigenberg; A A Konski
Journal:  Dis Esophagus       Date:  2010-01-15       Impact factor: 3.429

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