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Formation of Thrombosis and Its Potential Diagnosis and Treatment with Optoacoustic Technology

Authors:

Muqun Yang,

Tian TanAuthors Info & Claims

ICMHI '19: Proceedings of the 3rd International Conference on Medical and Health Informatics

Pages 1 - 5

https://doi.org/10.1145/3340037.3340040

Published: 17 May 2019 Publication History

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Abstract

Thrombosis is the formation of a blood clot inside a blood vessel and there are two kinds of thrombosis: venous thrombosis and arterial thrombosis. It is a fatal cardiovascular disease and has caused a lot of pain to human body. Through this passage, we analyze the potential mechanism of thrombosis from non-biomechanics and biomechanics respects. Furthermore, the article concludes its current diagnosis and treatment and points out their responding advantages and disadvantages, after which I propose a possible solution for both diagnosing and curing thrombosis with photoacoustic imaging technology which would be convenient and highly efficient to diagnose and cure thrombosis.

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Contreras-Luján EGarcía-Guerrero ELópez-Bonilla OTlelo-Cuautle ELópez-Mancilla DInzunza-González E(2022)Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous ThrombosisMathematical and Computational Applications10.3390/mca2702002427:2(24)Online publication date: 4-Mar-2022
https://doi.org/10.3390/mca27020024

Index Terms

Formation of Thrombosis and Its Potential Diagnosis and Treatment with Optoacoustic Technology
1. Hardware
  1. Emerging technologies
    1. Emerging optical and photonic technologies

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ICMHI '19: Proceedings of the 3rd International Conference on Medical and Health Informatics

May 2019

207 pages

ISBN:9781450371995

DOI:10.1145/3340037

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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Association for Computing Machinery

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Published: 17 May 2019

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ICMHI 2019: The third International Conference on Medical and Health Informatics 2019

May 17 - 19, 2019

Xiamen, China

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Contreras-Luján EGarcía-Guerrero ELópez-Bonilla OTlelo-Cuautle ELópez-Mancilla DInzunza-González E(2022)Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous ThrombosisMathematical and Computational Applications10.3390/mca2702002427:2(24)Online publication date: 4-Mar-2022
https://doi.org/10.3390/mca27020024

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Recommendations

Computational analysis of thrombosis risk with variations in left ventricular assist device inflow cannula design in a multi-patient model

Numerical investigation of the effects of cannula geometry on hydraulic blood flow to prevent the risk of thrombosis

Patient-specific pulmonary venous flow characterization and its impact on left atrial appendage thrombosis in atrial fibrillation patients

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