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A Method for Automatic Calculation of the Diameter of a Pulsating Blood Vessel on Ultrasound Images in Video Stream
D V Pasynkov1,2,3, A A Kolchev2, I A Egoshin1,2
1Mari State University, Yoshkar-Ola, Russia.
Insights
This study introduces three methods for automatically measuring pulsating blood vessel diameter from ultrasound videos. These techniques aid in early cardiovascular disease diagnosis and risk factor identification, like atherosclerosis.
Area of Science:
- Medical Imaging
- Cardiovascular Science
- Biomedical Engineering
Background:
- Cardiovascular diseases are a leading cause of mortality worldwide.
- Early diagnosis and risk factor identification are crucial for managing cardiovascular health.
- Continuous monitoring of vascular dynamics can provide valuable diagnostic information.
Purpose of the Study:
- To evaluate three distinct approaches for the automatic measurement of pulsating blood vessel diameters.
- To assess the utility of these methods for continuous monitoring of vascular wall movements during the cardiac cycle.
- To explore the application of these algorithms in early cardiovascular disease diagnosis and risk factor identification.
Main Methods:
- Development and implementation of three algorithms for automatic diameter measurement.
- Utilizing ultrasound imaging in video stream mode for real-time analysis.
- Testing algorithms on a dataset of ultrasound images from actual patients.
Main Results:
- Demonstrated the operational capability of the proposed algorithms on clinical ultrasound data.
- Confirmed the potential for accurate and continuous measurement of vessel diameter.
- Showcased the algorithms' suitability for clinical problem-solving.
Conclusions:
- The developed automatic measurement techniques are effective for analyzing pulsating blood vessels.
- These methods support early diagnosis of cardiovascular diseases and identification of risk factors such as atherosclerosis.
- The algorithms provide a foundation for advanced modeling of vessel pulsation dynamics.
Abstract:
Three approaches to automatic measurement of the diameter of pulsating blood vessels on ultrasound images in the video stream mode are considered. The use of such approaches for continuous monitoring of vascular wall movements during the cardiac cycle provides for both early diagnosis of cardiovascular diseases and identification of risk factors for these diseases (in particular, vascular atherosclerosis). The operation of the proposed algorithms was studied using sets of ultrasound images of real patients' blood vessels. Experimental results are presented demonstrating that these algorithms can be used for solving clinical problems, including for further building of models of vessel pulsation.
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