Evaluation of Dynamic Changes in Relative Cross-sectional Area of the Carotid Artery Based on Ultrasound Images

The work proposes a method for identifying the contour of the cross-section of vessels based on the results of an ultrasound examination of the neck vessels. The proposed method allows, based on the analysis of brightness sections, identifying the contour of the cross-section of a blood vessel and evaluating changes in the cross-sectional area of the vessel in dynamics. This enables identifying a predisposition to certain pathologies of the neck vessels. However, the authors note that this procedure is not the main one and can be used as an addition to a comprehensive examination. The method includes such stages as preliminary image processing, searching for brightness differences, refining the coordinates of the points of the vessel cross-section contour, smoothing the obtained coordinate values, and estimating the area. Based on the proposed methodology, a program was developed for frame-by-frame analysis of the results of ultrasound examination of the neck vessels [7].

Authors

Institutions

Publication Details

Journal
Pattern Recognition and Image Analysis
Published
2024-12-01
DOI
https://doi.org/10.1134/s1054661824701335
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Dynamic Changes in Relative Cross-sectional Area of the Carotid Artery Based on Ultrasound Images

Ю К Александров, D. G. Hafizov
1 links
Pattern Recognition and Image Analysis
Medical Image Segmentation Techniques
article

Evaluation of Dynamic Changes in Relative Cross-sectional Area of the Carotid Artery Based on Ultrasound Images

Ю К Александров, D. G. Hafizov
article en

Abstract

The work proposes a method for identifying the contour of the cross-section of vessels based on the results of an ultrasound examination of the neck vessels. The proposed method allows, based on the analysis of brightness sections, identifying the contour of the cross-section of a blood vessel and evaluating changes in the cross-sectional area of the vessel in dynamics. This enables identifying a predisposition to certain pathologies of the neck vessels. However, the authors note that this procedure is not the main one and can be used as an addition to a comprehensive examination. The method includes such stages as preliminary image processing, searching for brightness differences, refining the coordinates of the points of the vessel cross-section contour, smoothing the obtained coordinate values, and estimating the area. Based on the proposed methodology, a program was developed for frame-by-frame analysis of the results of ultrasound examination of the neck vessels [7].

Pattern Recognition and Image AnalysisVol. 34(4)
Volga State University of Technology (RU)
Openalex Percentile: Top 71%
Medical Image Segmentation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluation of Dynamic Changes in Relative Cross-sectional Area of the Carotid Artery Based on Ultrasound Images — Ю К Александров, D. G. Hafizov · Pattern Recognition and Image Analysis (2024) | TGRS Research Map | TGRS