The construction of the three-dimensional model of the damaged bone tissue based on its roentgenogram

Gridin V.N.; Pigolkin Yu.I.; Trufanov M.I.; Leonov S.V.; Mosoian A.S.; Dubrovin I.A.

doi:https://doi.org/10.17116/sudmed201861145-48

Gridin V.N.

Center of Information Technologies and Project Engineering, Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143000

Pigolkin Yu.I.

Sechenov’s First Moscow State Medical University, Moscow, Russia

Trufanov M.I.

Center of Information Technologies and Project Engineering, Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143000

Leonov S.V.

Department of Forensic Medicine and Medical Right, Moscow State University of Medicine and Dentistry, Moscow, Russia

Mosoian A.S.

Kafedra sudebnoĭ meditsiny SPbGMU im. I.P. Pavlova

Dubrovin I.A.

Department of Hospital surgery, Volgograd State Medical University, Ministry of Health of the Russian Federation

The construction of the three-dimensional model of the damaged bone tissue based on its roentgenogram

Authors:

Gridin V.N., Pigolkin Yu.I., Trufanov M.I., Leonov S.V., Mosoian A.S., Dubrovin I.A.

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Journal: Forensic Medical Expertise. 2018;61(1): 45‑48

DOI: 10.17116/sudmed201861145-48

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To cite this article:

Gridin VN, Pigolkin YuI, Trufanov MI, Leonov SV, Mosoian AS, Dubrovin IA. The construction of the three-dimensional model of the damaged bone tissue based on its roentgenogram. Forensic Medical Expertise. 2018;61(1):45‑48. (In Russ.)
https://doi.org/10.17116/sudmed201861145-48

Подписка 2026 Судебно-медицинская экспертиза (Forensic Medical Expertise)

Использование инфографики авторами научных работ

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Abstract:

The objective of the present work was to develop the method for the visualization of the shape of the bone surface in the region of its traumatic damage based on the results of the analysis of a single X-ray image for the solution of the problems facing forensic medical expertise and traumatology. The three-dimensional models of the fractures of the long tubular bones constructed with the use of the visualization technique were shown to adequately reproduce the morphological picture of the injury. It allowed to enhance the potential of the forensic medical analysis and the accuracy of the diagnostic methods employed for the purposes of forensic medical expertise.

Keywords:

bone fractures

roentgenogram

three-dimensional image

Authors:

Gridin V.N.

Center of Information Technologies and Project Engineering, Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143000

Pigolkin Yu.I.

Sechenov’s First Moscow State Medical University, Moscow, Russia

Trufanov M.I.

Center of Information Technologies and Project Engineering, Russian Academy of Sciences, Odintsovo, Moscow Region, Russia, 143000

Leonov S.V.

Department of Forensic Medicine and Medical Right, Moscow State University of Medicine and Dentistry, Moscow, Russia

Mosoian A.S.

Kafedra sudebnoĭ meditsiny SPbGMU im. I.P. Pavlova

Dubrovin I.A.

Department of Hospital surgery, Volgograd State Medical University, Ministry of Health of the Russian Federation

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References:

Kryukov VN. Diagnostikum mehanizmov i morfologii perelomov pri tupoj travme skeleta. Mehanizmy i morfologija perelomov dlinnyh trubchatyh kostej. T. 1. Novosibirsk: Nauka: Sibirskaja izdatel'skaja firma RAN. 2002. (In Russ.)
Gridin VN, Titov VS, Trufanov MI. Adaptivnye sistemy tekhnicheskogo zreniya. Tsentr informatsionnykh tekhnologii v proektirovanii RAN. 2009. (In Russ.)
Albers O, Poesch A, Reithmeier E. Flexible calibration and measurement strategy for a multi-sensor fringe projection unit. Optics Express. 2015;23:29592-29607.
Hartley RI, Zisserman A. Multiple view geometry in computer vision Cambridge University press. 2-nd ed. Cambridge (UK). 2004.
Wang C-C, Jiang BC, Chou Y-S, Chu C-C. Multivariate analysis-based image enhancement model for machine vision inspection. Int J Prod Res. 2011;49:2999-3021.
Korneev IV. Interaktivnye graficheskie sistemy: uchebnoe posobie. M.: Binom: Laboratorija znanij. 2012. (In Russ.)
Mokrzycki MW, Samko M. Canny edge detection algorithm modification. International Conference on Computer Vision and Graphics ICCVG 2012: Computer Vision and Graphics. 2012;533-540.
Lim JJ, Zitnick CL, Dollar P. A learned mid-level representation for contour and object detection. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2013:3158-3165.
Guo Y, Bennamoun M, Sohel F, Lu M, Wan J. An integrated framework for 3-D modeling, object detection, and pose estimation from point-clouds. Instrumentation and Measurement. IEEE Transactions. 2015;64(3):683-693.