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This article is cited in 2 scientific papers (total in 2 papers)
NUMERICAL METHODS AND DATA ANALYSIS
Towards monitored tomographic reconstruction: algorithm-dependence and convergence
K. B. Bulatovab, A. S. Ingachevaac, M. I. Gilmanovac, K. Kutukovad, Zh. V. Soldatovaa, A. V. Buzmakovbe, M. V. Chukalinaac, E. Zschechd, V. V. Arlazarovab a Smart Engines Service LLC, Moscow
b Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
c Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow
d deepXscan GmbH, Dresden, Germany, Zeppelinstr 1
e FSRC "Crystallography and Photonics" RAS
Abstract:
The monitored tomographic reconstruction (MTR) with optimized photon flux technique is a pioneering method for X-ray computed tomography (XCT) that reduces the time for data acquisition and the radiation dose. The capturing of the projections in the MTR technique is guided by a scanning protocol built on similar experiments to reach the predetermined quality of the reconstruction. This method allows achieving a similar average reconstruction quality as in ordinary tomography while using lower mean numbers of projections. In this paper, we, for the first time, systematically study the MTR technique under several conditions: reconstruction algorithm (FBP, SIRT, SIRT-TV, and others), type of tomography setup (micro-XCT and nano-XCT), and objects with different morphology. It was shown that a mean dose reduction for reconstruction with a given quality only slightlyvaries with choice of reconstruction algorithm, and reach up to 12.5% in case of micro-XCT and 8.5% for nano-XCT. The obtained results allow to conclude that the monitored tomographic reconstruction approach can be universally combined with an algorithm of choice to perform a controlled trade-off between radiation dose and image quality. Validation of the protocol on independent common ground truth demonstrated a good convergence of all reconstruction algorithms within the MTR protocol.
Keywords:
anytime algorithms, monitored tomographic reconstruction, micro X-ray computed tomography, nano X-ray computed tomography, dose reduction, time reducing, stopping rule
Received: 17.10.2022 Accepted: 04.04.2023
Citation:
K. B. Bulatov, A. S. Ingacheva, M. I. Gilmanov, K. Kutukova, Zh. V. Soldatova, A. V. Buzmakov, M. V. Chukalina, E. Zschech, V. V. Arlazarov, “Towards monitored tomographic reconstruction: algorithm-dependence and convergence”, Computer Optics, 47:4 (2023), 658–667
Linking options:
https://www.mathnet.ru/eng/co1167 https://www.mathnet.ru/eng/co/v47/i4/p658
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