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The Medical Radiology and Radiation Safety journal ISSN 1024-6177 was founded in January 1956 (before December 30, 1993 it was entitled Medical Radiology, ISSN 0025-8334). In 2018, the journal received Online ISSN: 2618-9615 and was registered as an electronic online publication in Roskomnadzor on March 29, 2018. It publishes original research articles which cover questions of radiobiology, radiation medicine, radiation safety, radiation therapy, nuclear medicine and scientific reviews. In general the journal has more than 30 headings and it is of interest for specialists working in thefields of medicine¸ radiation biology, epidemiology, medical physics and technology. Since July 01, 2008 the journal has been published by State Research Center - Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency. The founder from 1956 to the present time is the Ministry of Health of the Russian Federation, and from 2008 to the present time is the Federal Medical Biological Agency.
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Medical Radiology and Radiation Safety. 2023. Vol. 68. № 6
DOI:10.33266/1024-6177-2023-68-6-106-117
N.V. Denisova1, 2, A.V. Nesterova1, 2, S.M. Minin3, Zh.Zh. Anashbayev3,
S.E. Krasilnikov3, W.Yu. Ussov3
Development of Software Tools Based on Clinical Data and Phantom Studies for Mathematical Simulation Modeling to Assess Brain Perfusion and Improve Image Quality During SPECT/CT with 99mTc-GMPAO
1 National Research Novosibirsk State University, Novosibirsk, Russia
2 S.A. Khristianovich Institute of Theoretical and Applied Mechanics, Novosibirsk, Russia
3 Akademian E.N. Meshalkin NMRC, Novosibirsk, Russia
Contact person: Natalia Vasilyevna Denisova, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Purpose: To develop a software package Virtual examination of brain perfusion by the method of SPECT/CT with 99mTc-HMPAO (Teoxime) and its practical application to study the conditions for achieving the best image quality in clinical studies of patients.
Material and methods: The studies were performed using clinical data and the method of computer simulation. Clinical data of single-photon emission computed tomography combined with X-ray computed tomography (SPECT/CT) with 99mTc-hexamethylpropyleneamine oxime (99mTc-Teoxime, produced by DIAMED LLC) of a patient with an ischemic stroke of the right frontal cortex were obtained on a two-detector gamma-camera NM/CT 670 DR GE Discovery (USA) using high-resolution low-energy collimators (LEHR). The measured data were processed using specialized software Q.Brain and Q.Volumetrix MI on a Xeleris 4.0 DR workstation from GE Healthcare (USA) to obtain reconstructed axial tomographic slices. To carry out simulation computer simulation of the procedure of examination of perfusion of GM by the method of SPECT/CT has developed a software package that includes a mathematical Hoffman phantom with the ability to simulate clinical cases of hypoperfusion of different localization and size (Virtual Patient), modeling the collection of “raw” projection data and an image reconstruction program based on the OSEM algorithm (Ordered Subset Expectation Maximization). An important advantage of the mathematical modeling method is the ability to assess the quality of the reconstructed image by calculating the root-mean-square error when compared with a given phantom. In numerical experiments, the dependence of the reconstruction error on the parameters of the OSEM algorithm (on the number of subgroups – subsets, and on the number of iterations) was investigated in order to determine the conditions for achieving the best image quality. A statistical stop criterion was developed and tested.
Results: For the first time, a software package was developed and tested that allows us to investigate errors in the reconstruction algorithm, which is a great difficulty when using clinical research methods. A criterion for stopping iterations is proposed when using the OSEM reconstruction algorithm – minimizing the functional deviation of the chi-square function from the target value, while the detector pixels with non-zero values are combined into blocks according to the 2×2 scheme.
There is a reliable good correlation between the proposed stop criterion and the minimum of the root-mean-square error of image reconstruction. This makes it possible to introduce this criterion into the clinical practice of using computational tools for reconstructing sections of the SPECT to obtain the best image.
The simulation results demonstrated the possibility of reducing the time of data recording, during which the patient must remain motionless, at least twice.
Conclusion: The method of computer simulation developed in this work is a practically useful technology that helps optimize the use of SPECT to achieve the best possible results of brain imaging in patients.
Keywords: brain perfusion, SPECT/CT, computer modeling, Hoffman’s phantom, iterative reconstruction algorithm
For citation: Denisova NV, Nesterova AV, Minin SM, Anashbayev ZhZh, Krasilnikov SE, Ussov WYu. Development of Software Tools Based on Clinical Data and Phantom Studies for Mathematical Simulation Modeling to Assess Brain Perfusion and Improve Image Quality During SPECT/CT with 99mTc-GMPAO. Medical Radiology and Radiation Safety. 2023;68(6):106–117. (In Russian). DOI:10.33266/1024-6177-2023-68-6-106-117
References
1.Juni J.E., Waxman A.D., Devous M.D., Tikofsky R.S., Ichise M., Van Heertum R.L., Carretta R.F., Chen C.C. Society for Nuclear Medicine Procedure Guideline for Brain Perfusion SPECT Using 99mTc Radiopharmaceuticals 3.0. J. Nucl. Med. Technol. 2009;37;3:191-195.
2.Kapucu O.L., Nobili F., Varrone A., Booij J., Vander Borght T., Någren K., Darcourt J., Tatsch K., Van Laere K.J. EANM Procedure Guideline for Brain Perfusion SPECT Using 99mTc-Labelled Radiopharmaceuticals, Version 2. Eur. J. Nucl. Med. Mol. Imaging. 2009;36;12:2093-2102. doi: 10.1007/s00259-009-1266-y.
3.Abadi E., Segars W.P., Tsui B.M.W., Kinahan P.E., Bottenus N., Frangi A.F., Maidment A., Lo J., Samei E. Virtual Clinical Trials in Medical Imaging: a Review. J. Med. Imaging. (Bellingham). 2020;7;4:042805. doi: 10.1117/1.JMI.7.4.042805.
4.Hoffman 3D Brain Phantom Model BR/3D/P, DATA SPECTRUM Corporation, USA.
5.Shepp L.A., Vardi Y. Maximum Likelihood Reconstruction for Emission Tomography. IEEE Trans. Med. Imaging. 1982;1;2:113–122. doi: 10.1109/TMI.1982.4307558.
6.Veklerov E., Llacer J. Stopping Rule for the MLE Algorithm Based on Statistical Hypothesis Testing. IEEE Trans Med Imaging. 1987;6;4:313-319. doi: 10.1109/TMI.1987.4307849.
7.Nesterova A.V., Denisova N.V. Pitfalls on the Way to Quantify the Severity of Oncological Lesions in Diagnostic Nuclear Medicine. Zhurnal Tekhnicheskoy Fiziki = Journal of Applied Physics. 2022;92;7:1018–1021. DOI: 10.21883/JTF.2022.07.52659.331-21 (In Russ.).
8.Denisova N.V., Terekhov I.N. Computer Simulation of Patient Examination Procedure by the Cardiac SPECT/CT Method. Meditsinskaya Fizika = Medical Physics. 2016;3:87-100 (In Russ.).
9.Dolya O.P., Klepov A.N., Kurachenko Yu.A., Matusevich E.S. Monte Carlo Simulation of the Sensitivity Function of a Gamma Camera Collimator to Gamma Radiation of an Osteotropic Radiopharmaceutical. Meditsinskaya Fizika = Medical Physics. 2008;2:63-75 (In Russ.).
10.Kostylev V.A., Kalashnikov S.D., Fishman L.Ya. Emissionnaya Gamma-Topografiya = Emission Gamma Topography. Moscow, Energoatomizdat Publ., 1988. 327 p. (In Russ.).
11.Kostylev V.A. On the Development and Implementation of Medical Nuclear Physics Technologies in Russia. Meditsinskaya Fizika = Medical Physics. 2007;2:5-17 (In Russ.).
12.Narkevich B.Ya., Krylov A.S., Ryzhkov A.D., Geliashvili T.M. Dosimetric Support of Radionuclide Therapy. Onkologicheskiy Zhurnal: Luchevaya Diagnostika, Luchevaya Terapiya = Journal of Oncology: Diagnostic Radiology and Radiotherapy. 2023;6;1:66-84. DOI: 10.37174/2587-7593-2023-6-1-66-84 (In Russ.).
13.Lee W.W., K-SPECT Group. Clinical Applications of Technetium-99m Quantitative Single-Photon Emission Computed Tomography/Computed Tomography. Nucl. Med. Mol. Imaging. 2019;53;3:172-181. doi: 10.1007/s13139-019-00588-9.
14.Képes Z., Mikó M., Kukuts K., Esze R., Barna S., Somodi S., Káplár M., Varga J., Garai I. Imaging with [99mTc]HMPAO - a Novel Perspective: Investigation of [99mTc]HMPAO Leg Muscle Uptake in Metabolic Diseases. Acta Radiol. 2023;64;1:187-194. doi: 10.1177/028418512110636019.
PDF (RUS) Full-text article (in Russian)
Conflict of interest. The authors declare no conflict of interest.
Financing. The study had no sponsorship.
Contribution. Denisova N.V. ‒ development of the concept and planning of scientific work, drafting of the manuscript, final approval of the published version of the manuscript; Nesterova AV ‒ mathematical modeling and presentation of its results, participation in the writing and editing of the manuscript; Minin S.M. ‒ analysis of scientific work, critical revision with the introduction of valuable intellectual content; Anashbayev Zh Zh ‒ analysis of scientific work, critical revision with the input of valuable intellectual content, participation in the writing and editing of the manuscript; Krasilnikov S.E. ‒ analysis of scientific work, critical revision and revision with the introduction of valuable intellectual content; Ussov WYu ‒ analysis of primary SPECT data and results of mathematical modeling, graphical representation of results, discussion, participation in writing and editing the manuscript, final approval of the published version of the manuscript.
Article received: 20.07.2023. Accepted for publication: 27.08.2023.