Computed tomography data processing method on the basis of spatial segmentation

Nataliia I. Limanova; Sergey G. Ataev

doi:10.1117/12.2525537

24 June 2019 Computed tomography data processing method on the basis of spatial segmentation

Proceedings Volume 11146, Optical Technologies for Telecommunications 2018; 1114619 (2019) https://doi.org/10.1117/12.2525537
Event: XVI International Scientific and Technical Conference on Optical Technologies in Telecommunications, 2018, Ufa, Russian Federation

Abstract

Nowadays the multi-layer computed tomography (CT) shots with contrast dye used for detection of small pathological growths regions are widely spread in medical clinics. Although, CT study with contrast dye use has contraindications and is much more expensive for patients than study without use of dye. This article proposes the algorithm based on segmentation of three-dimensional signal received from CT (without dye use). The algorithm allows to identify a pathological growths automatically and to detect studying object regions with the help of 3D graph model based on received data. Algorithm also evaluates parameters of small objects and sinuses, which occupy only small part of initial CT layers, with high accuracy.

Citation Download Citation

Nataliia I. Limanova and Sergey G. Ataev "Computed tomography data processing method on the basis of spatial segmentation", Proc. SPIE 11146, Optical Technologies for Telecommunications 2018, 1114619 (24 June 2019); https://doi.org/10.1117/12.2525537

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