Preview

Doklady BGUIR

Advanced search

Mathematical Model of Respiratory Distortions of a Pathological Focus During Visualization on PET/CT Images

https://doi.org/10.35596/1729-7648-2025-23-3-77-85

Abstract

The article presents an assessment and analysis of uncertainties in pathological lesion visualization on PET/CT images that arise due to respiratory movements of a biological object, which have a direct impact on determining the geometric characteristics of the pathological lesion, its localization, and the correctness of modeling the three-dimensional distribution of the radiation dose in the patient’s body. Based on the experimentally established dependencies of the influence of the displacement value and the diameter of the object (sphere) under study on the value of the discrepancy between the visualized volume of the object under study, a mathematical model of respiratory distortions of the pathological lesion during visualization on PET/CT images has been developed, which allows for a quantitative and qualitative assessment of the influence of the patient’s respiratory movement on the geometric accuracy of pathological lesion visualization on PET/CT images with up to 98 % accuracy. Verification of the model has shown a high degree of consistency between the model calculations and experimental data. The average values of relative uncertainty for CT and PET, respectively, were (2.123  1.051) % and (2.661  0.870) %, and for absolute uncertainty – (2.096  0.941) % and (1.992  0.782) %, which confirms the correctness and practical applicability of the developed method.

About the Authors

M. N. Piatkevich
N. N. Aleksandrov National Cancer Center of Belarus
Belarus
Head of the Radiation Therapy Engineering Department

 



D. V. Korovko
International Sakharov Environmental Institute of Belarusian State University
Belarus
Student


E. V. Emelyanenko
N. N. Aleksandrov National Cancer Center of Belarus
Belarus
Сand. Sci. (Tech.), Engineer

 



References

1. Murshed H. (ed.) (2019) Fundamentals of Radiation Oncology: Physical, Biological and Clinical Aspects. US, Academic Press.

2. Gibbons J. P. (2019) Khan’s the Physics of Radiation Therapy. US, Wolters Kluwer Health.

3. Gregoire V., Guckenberger M., Haustermans K., Lagendijk J., Menard C., Potter R., et al. (2020) Image Guidance in Radiation Therapy for Better Cure of Cancer. Molecular Oncology. 14 (7), 1470–1491. https://dx.doi.org/10.1002/1878-0261.12751.

4. Hansen E. K., Roach III M. (2014) Radiation Therapy in Oncology. Moscow, GEOTAR-Media Publ.

5. Emelyanenko E. V., Piatkevich M. N., Tarutin I. G. (2021) Methodology and Hardware for Assessing the Quantitative Characteristics of Pet Images in the Study of Dynamic Objects. Vesti National Academy of Sciences of Belarus. Gray Physics and Technical Sciences. 66 (4), 496–504. https://dx.doi.org/10.29235/15618358-2021-66-4-496-504 (in Russian).

6. Wieser H. P., Cisternas E., Wahl N., Ulrich S., Stadler A., Mescher H., et al. (2017) Development of the Open-Source Dose Calculation and Optimization Toolkit matRad. Medical Physics. 44 (6), 2556–2568. https://dx.doi.org/10.1002/mp.12251.

7. Bao Y., Li X., Wei W., Qu S., Zhan Y. (2023) Simulation on Human Respiratory Motion Dynamics and Platform Construction. Biocybernetics and Biomedical Engineering. 43 (4), 736–750. https://dx.doi.org/10.1016/j.bbe.2023.09.002.

8. Kazuki Y., Hitoi O., Hirotaka O. (2022) Optimal Design for Thermodynamic System with OpenModelica and MATLAB/Simulink. Asian Modelica Conference, Tokyo, 24–25 Nov. 93–100. https://dx.doi.org/10.3384/ecp19385.

9. Yu Z., Noo F., Dennerlein F., Wunderlich A., Lauritsch G., Hornegger J. (2013) Simulation Tools for TwoDimensional Experiments in X-Ray Computed Tomography Using the FORBILD Head Phantom. Physics in Medicine & Biology. 57 (13), 237–252. https://dx.doi.org/10.1088/0031-9155/57/13/N237.

10. Berthon B., Häggstrӧm I., Apte A., Beattie B. J., Kirov A. S., Humm J. L., et al. (2015) PETSTEP: Generation of Synthetic PET Lesions for Fast Evaluation of Segmentation Methods. Physica Medica. 31 (8), 969 – 980. https://dx.doi.org/10.1016/j.ejmp.2015.07.139.


Review

For citations:


Piatkevich M.N., Korovko D.V., Emelyanenko E.V. Mathematical Model of Respiratory Distortions of a Pathological Focus During Visualization on PET/CT Images. Doklady BGUIR. 2025;23(3):77-85. (In Russ.) https://doi.org/10.35596/1729-7648-2025-23-3-77-85

Views: 15


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)