Analysis of vertebrae segmentation methods in computed tomography images

Róża Dzierżak; Magdalena Michalska; Khassen Dassibekov

doi:10.1117/12.2501671

1 October 2018 Analysis of vertebrae segmentation methods in computed tomography images

Róża Dzierżak, Magdalena Michalska, Khassen Dassibekov

Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108083Q (2018) https://doi.org/10.1117/12.2501671
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland

Abstract

One of the main issues in imaging diagnostics is the precise determination of the area of interest (ROI). The processing of medical images makes it necessary to distinguish the tested object from the rest of the less important details of the image. In order to properly select the segmentation method, it is necessary to take into account the structure of the tissue and the type of image. The article presents selected segmentation methods implemented in Matlab and results obtained using clinical software. The resulting 2D images were used to create three-dimensional structures of vertebrae.

Citation Download Citation

Róża Dzierżak, Magdalena Michalska, and Khassen Dassibekov "Analysis of vertebrae segmentation methods in computed tomography images", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108083Q (1 October 2018); https://doi.org/10.1117/12.2501671

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