Technology of Morphometric Analysis of Vertebral Bodies in Patients with Osteoporosis Using Computed Tomography Images

In this paper, we present a technology for morphometric analysis of vertebral bodies in patients with osteoporosis based on computed tomography data. An analysis of feature selection for objects in the images was conducted to identify the most suitable features for this type of object. The results of the morphometric analysis algorithm for vertebral bodies are presented to evaluate its accuracy. Conclusions were drawn regarding the separability of normal and pathological classes based on the set of features. Based on the results, a vertebrae classification algorithm was developed.

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Publication Details

Journal
Pattern Recognition and Image Analysis
Published
2024-12-01
DOI
https://doi.org/10.1134/s1054661824700986
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
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article

Technology of Morphometric Analysis of Vertebral Bodies in Patients with Osteoporosis Using Computed Tomography Images

Nataly Ilyasova, Eduard Nikolaevich Alekhin, Nikita Demin, В. И. Павлова et al.
1 links
Pattern Recognition and Image Analysis
Medical Imaging and Analysis
article

Technology of Morphometric Analysis of Vertebral Bodies in Patients with Osteoporosis Using Computed Tomography Images

Nataly Ilyasova, Eduard Nikolaevich Alekhin, Nikita Demin, В. И. Павлова, Kamil Shavkatovich Tadjitdinov
article en

Abstract

In this paper, we present a technology for morphometric analysis of vertebral bodies in patients with osteoporosis based on computed tomography data. An analysis of feature selection for objects in the images was conducted to identify the most suitable features for this type of object. The results of the morphometric analysis algorithm for vertebral bodies are presented to evaluate its accuracy. Conclusions were drawn regarding the separability of normal and pathological classes based on the set of features. Based on the results, a vertebrae classification algorithm was developed.

Pattern Recognition and Image AnalysisVol. 34(4)
Samara National Research University (RU), Tyumen State Medical University (RU)
Openalex Percentile: Top 75%
Medical Imaging and Analysis
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