Essentials of Algebraic Reconstruction in Cone-Beam Computed Tomography

被引：0
作者：
A. E. Chernukha
A. I. Shestopalov
A. I. Adarova
R. V. Shershnev
Ya. V. Kizilova
S. N. Koryakin
S. A. Ivanov
A. N. Solovev
机构：
[1] Tsyb Medical Radiological Research Center,
[2] Branch of the National Medical Research Radiological Center of the Ministry of Health of the Russian Federation (A. Tsyb MRRC),undefined
[3] “Protom” Ltd.,undefined
[4] Moscow oblast,undefined
[5] Lebedev Physical Institute,undefined
[6] Russian Academy of Sciences,undefined
[7] Physico-Technical Center,undefined
[8] Institute for Nuclear Power Engineering,undefined
[9] People’s Friendship University of Russia,undefined
来源：
Bulletin of the Lebedev Physics Institute | 2023年 / 50卷
关键词：
cone-beam computed tomography; CBCT; iterative reconstruction algorithms; radiation safety;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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收藏
页码：438 / 444
页数：6
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