Essentials of Algebraic Reconstruction in Cone-Beam Computed Tomography

Abstract—ART (algebraic reconstruction technique) in computed tomography (CT) and, in particular, the reconstruction under a limited number of cone-beam projections, along with conventional CT methods, allow an image quality sufficient for patient positioning, as well as reducing the dose payload and treatment toxicity and increasing local tumor control. In addition, such reconstructed images may serve as prognostic factors for patient selection. The proposed methods are overviewed for the bone structures imaging CT procedures for the further usage in planning, positioning and immobilization stages. The limited number of projection fields are chosen within circular scanning using 900 projections in the desired 90°–360° field of view angle. The dynamic range of image extension are presented, reconstruction isogonality degeneracies are discussed, as well as options of semi-convergence of low-noise solutions. The orthogonal images obtained with ART can be prospectively used in various radiotherapy techniques, with special attention to hypofractionated schemes. The algorithms were examined at the “Prometheus” proton beam facility and are beneficial in the therapeutic applications. © 2023, Allerton Press, Inc.

Авторы
Chernukha A.E. , Shestopalov A.I. , Adarova A.I. , Shershnev R.V. , Kizilova Y.V. , Koryakin S.N. , Ivanov S.A. , Solovev A.N.
Издательство
Allerton Press Incorporation
Номер выпуска
10
Язык
Английский
Страницы
438-444
Статус
Опубликовано
Том
50
Год
2023
Организации
  • 1 Tsyb Medical Radiological Research Center, Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation (A. Tsyb MRRC), Kaluga oblast, Obninsk, 249031, Russian Federation
  • 2 “Protom” Ltd., Moscow oblast, Protvino, 142281, Russian Federation
  • 3 Lebedev Physical Institute, Russian Academy of Sciences, Physico-Technical Center, Moscow oblast, Protvino, 142281, Russian Federation
  • 4 Institute for Nuclear Power Engineering, Kaluga oblast, Obninsk, 249039, Russian Federation
  • 5 People’s Friendship University of Russia, Moscow, 117198, Russian Federation
Ключевые слова
CBCT; cone-beam computed tomography; iterative reconstruction algorithms; radiation safety
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