The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIV-2/W1-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2/W1-2021, 27–31, 2021
https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-27-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-2/W1-2021, 27–31, 2021
https://doi.org/10.5194/isprs-archives-XLIV-2-W1-2021-27-2021

  15 Apr 2021

15 Apr 2021

FORMATION OF PERSONALIZED DIGITAL MODELS BASED ON TOMOGRAPHIC DATA OF THE PATIENT

S. Сherebylo, E. Ippolitov, M. Novikov, and V. Vnuk S. Сherebylo et al.
  • Institute on Laser and Information Technologies RAS – Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of RAS, Shatura, Russia

Keywords: spiral computed tomography, digital model, computer modeling, segmentation of tomographic data

Abstract. The introduction of information technologies into the practice of healthcare significantly changes the methods of diagnosis and treatment, the forms of interaction of doctors with patients and colleagues, the organization of treatment and restoration of health. Modern digital medicine makes it possible to increase the availability, quality and efficiency of medical care.

The development of modern three-dimensional modeling and the introduction of a new generation of spiral computed tomographs have significantly expanded the possibilities of using these information technologies in reconstructive surgery. The performed study deals with the problems of forming the personalized digital models of anatomical structures according to patient's tomographic data. The principles of tomographic image segmentation are considered. A review and comparison of the specialized software for obtaining of digital models with the use of tomographic data is given. The evaluation of the functionality, speed and quality of the models is presented. Practical recommendations on the use of the software for creating digital models for medical applications are given. The issues of certification of personalized models and medical products are discussed.