{"title":"REVIEW OF BLOOD VESSELS VELOCITY ESTIMATIONS","authors":"I. Tache","doi":"10.56082/annalsarsciinfo.2021.1-2.5","DOIUrl":null,"url":null,"abstract":"The vascular diseases are reflected by impairments in both morphology and hemodynamics. Digital medical imaging has revolutionized the diagnosis and treatment of these diseases. The extraction of the blood flow information from the daily clinical medical imaging acquisitions is one of the greatest importance for the physicians nowadays. The paper presents a review of the most noticeable methods of extracting blood velocity from medical images. X-ray angiography is the gold standard of the vascular diseases’ diagnosis, and it can be used successfully along with blood velocity estimation methods presented in this paper.","PeriodicalId":32445,"journal":{"name":"Annals Series on History and Archaeology Academy of Romanian Scientists","volume":"71 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals Series on History and Archaeology Academy of Romanian Scientists","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56082/annalsarsciinfo.2021.1-2.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The vascular diseases are reflected by impairments in both morphology and hemodynamics. Digital medical imaging has revolutionized the diagnosis and treatment of these diseases. The extraction of the blood flow information from the daily clinical medical imaging acquisitions is one of the greatest importance for the physicians nowadays. The paper presents a review of the most noticeable methods of extracting blood velocity from medical images. X-ray angiography is the gold standard of the vascular diseases’ diagnosis, and it can be used successfully along with blood velocity estimation methods presented in this paper.
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