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International Journal of Public Health and Preventive Medicine, 2020, 1(2); doi: 10.38007/IJPHPM.2020.010203.

Method for Tracking Vascular Movement of the Elderly Based on Four-Dimensional Medical Imaging


Lei Wang

Corresponding Author:
Lei Wang

School of Design, Zhejiang Tech University, Hangzhou, Zhejiang 315100, China


In recent years, the application of computer and artificial intelligence technology in the healthcare industry has become more and more common. With the rapid development of computational intelligence, medical imaging has realized the transformation from two-dimensional to four-dimensional. This article proposes a method to track the blood vessel movement of the elderly by using four-dimensional medical imaging technology on the problem of cardiovascular and cerebrovascular diseases in the elderly that are common in medical clinics. The aim is to accurately and robustly locate the specific position of the blood vessel from the medical image data to reduce the elderly’s cardiovascular. The occurrence of various complications during surgery improves the treatment rate. This article first introduces the related knowledge of the four-dimensional medical imaging technology and the vascular movement of the elderly, and then carries out the reconstruction experiment of the four-dimensional model of blood and blood vessel wall, in order to further explore the effect of the four-dimensional medical imaging technology on the intravascular blood movement of the elderly patients with cardiovascular disease. To track and monitor the situation, this article again uses 200 patients with cardiovascular and cerebrovascular diseases admitted to our hospital from 2019 to 2020 as the experimental research objects, and took 50 volunteers who received health examinations in our hospital during the same year as experimental control subjects. Through the use of four-dimensional medical color ultrasound imaging technology to detect ECG and echocardiographic parameters of the two groups of patients, it was found that the ECG parameters of the experimental group were significantly greater than those of the control group, with significant statistical differences (P<0.05); The values of left ventricular systolic diameter and left ventricular end diastolic pressure in the electrocardiogram parameters of patients with coronary heart disease in the experimental group were significantly increased compared with the control group, while the ventricular ejection fraction and cardiac-to-mitral valve ratio were significantly decreased compared with the control group.


Four-Dimensional Medical Imaging, Computational Intelligence for Healthcare, Blood Vessel Movement in the Elderly, Tracking Method, Four-Dimensional Vessel Modeling

Cite This Paper

Lei Wang. Method for Tracking Vascular Movement of the Elderly Based on Four-Dimensional Medical Imaging. International Journal of Public Health and Preventive Medicine (2020), Vol. 1, Issue 2: 24-40. https://doi.org/10.38007/IJPHPM.2020.010203.


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