2016
DOI: 10.1117/12.2216450
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Atorvastatin effect evaluation based on feature combination of three-dimension ultrasound images

Abstract: In the past decades, stroke has become the worldwide common cause of death and disability. It is well known that ischemic stroke is mainly caused by carotid atherosclerosis. As an inexpensive, convenient and fast means of detection, ultrasound technology is applied widely in the prevention and treatment of carotid atherosclerosis. Recently, many studies have focused on how to quantitatively evaluate local arterial effects of medicine treatment for carotid diseases. So the evaluation method based on feature com… Show more

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“…Among them, in clinical B-ultrasound diagnosis of carotid arteries, doctors detect the thickness of the inner media membrane in ultrasound images and determine the formation of plaques based on the thickness of the inner media membrane being greater than 1.5mm [5] ; In efficacy evaluation studies, the specific characteristics of evaluating efficacy are usually the changes in plaque area or total volume over time [6][7] . Research has shown that texture features are more accurate than plaque morphology features in clinical event prediction and efficacy evaluation [8][9][10] . Among them, Yang Lijing [11] extracted morphological and texture features from contrast-enhanced ultrasound plaque images.However, texture features are prone to feature redundancy, so the recognition of carotid atherosclerotic plaque based on feature extraction needs further research.…”
Section: Introductionmentioning
confidence: 99%
“…Among them, in clinical B-ultrasound diagnosis of carotid arteries, doctors detect the thickness of the inner media membrane in ultrasound images and determine the formation of plaques based on the thickness of the inner media membrane being greater than 1.5mm [5] ; In efficacy evaluation studies, the specific characteristics of evaluating efficacy are usually the changes in plaque area or total volume over time [6][7] . Research has shown that texture features are more accurate than plaque morphology features in clinical event prediction and efficacy evaluation [8][9][10] . Among them, Yang Lijing [11] extracted morphological and texture features from contrast-enhanced ultrasound plaque images.However, texture features are prone to feature redundancy, so the recognition of carotid atherosclerotic plaque based on feature extraction needs further research.…”
Section: Introductionmentioning
confidence: 99%