A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework

被引：61

作者：

Biswas, Mainak ^{[1
]}

Saba, Luca ^{[2
]}

Omerzu, Tomaz ^{[3
]}

Johri, Amer M. ^{[4
]}

Khanna, Narendra N. ^{[5
]}

Viskovic, Klaudija ^{[6
]}

Mavrogeni, Sophie ^{[7
]}

Laird, John R. ^{[8
]}

Pareek, Gyan ^{[9
]}

Miner, Martin ^{[10
]}

Balestrieri, Antonella ^{[2
]}

Sfikakis, Petros P. ^{[11
]}

Protogerou, Athanasios ^{[12
]}

Misra, Durga Prasanna ^{[13
]}

Agarwal, Vikas ^{[13
]}

Kitas, George D. ^{[14
,15
]}

Kolluri, Raghu ^{[16
]}

Sharma, Aditya ^{[17
]}

Viswanathan, Vijay ^{[18
]}

Ruzsa, Zoltan ^{[19
]}

Nicolaides, Andrew ^{[20
]}

Suri, Jasjit S. ^{[21
]}

机构：

[1] JIS Univ Kolkata, Kolkata, W Bengal, India

[2] Azienda Osped Univ AOU, Dept Radiol, Cagliari, Italy

[3] Univ Med Ctr Maribor, Dept Neurol, Maribor, Slovenia

[4] Queens Univ, Dept Med, Div Cardiol, Kingston, ON, Canada

[5] Indraprastha APOLLO Hosp, Dept Cardiol, New Delhi, India

[6] Univ Hosp Infect Dis, Zagreb, Croatia

[7] Cardiol Clin, Onassis Cardiac Surg Ctr, Athens, Greece

[8] Adventist Hlth St Helena, Heart & Vasc Inst, St Helena, CA USA

[9] Brown Univ, Minimally Invas Urol Inst, Providence, RI 02912 USA

[10] Miriam Hosp Providence, Mens Hlth Ctr, Providence, RI USA

[11] Natl Kapodistrian Univ Athens, Rheumatol Unit, Athens, Greece

[12] Natl Kapodistrian Univ Athens, Athens, Greece

[13] Sanjay Gandhi Postgrad Inst Med Sci, Lucknow, Uttar Pradesh, India

[14] Dudley Grp NHS Fdn Trust, Acad Affairs, Dudley, England

[15] Univ Manchester, Arthrit Res UK Epidemiol Unit, Manchester, Lancs, England

[16] Ohio Hlth Heart & Vasc, Columbus, OH USA

[17] Univ Virginia, Div Cardiovasc Med, Charlottesville, VA USA

[18] MV Hosp Diabet & Prof M Viswanathan Diabet Res Ct, Chennai, Tamil Nadu, India

[19] Univ Szeged, Invas Cardiol Div, Budapest, Hungary

[20] Univ Nicosia, Vasc Screening & Diagnost Ctr, Med Sch, Nicosia, Cyprus

[21] AtheroPointTM, Stroke Monitoring & Diagnost Div, Roseville, CA 95661 USA

来源：

JOURNAL OF DIGITAL IMAGING | 2021年 / 34卷 / 03期

关键词：

Atherosclerosis; Carotid ultrasound; Plaque; Artificial intelligence; Machine learning; Deep learning; Carotid intima-media thickness; Carotid plaque area; OF-THE-ART; IMT MEASUREMENT; TISSUE CHARACTERIZATION; ATHEROSCLEROTIC PLAQUE; MULTIINSTITUTIONAL DATABASE; VARIABILITY ANALYSIS; MEASUREMENT SYSTEM; CALCIUM VOLUME; LUMEN DIAMETER; MACHINE;

D O I：

10.1007/s10278-021-00461-2

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide. Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial infarction and stroke. The two primary image-based phenotypes used for monitoring the atherosclerosis burden is carotid intima-media thickness (cIMT) and plaque area (PA). Earlier segmentation and measurement methods were based on ad hoc conventional and semi-automated digital imaging solutions, which are unreliable, tedious, slow, and not robust. This study reviews the modern and automated methods such as artificial intelligence (AI)-based. Machine learning (ML) and deep learning (DL) can provide automated techniques in the detection and measurement of cIMT and PA from carotid vascular images. Both ML and DL techniques are examples of supervised learning, i.e., learn from "ground truth" images and transformation of test images that are not part of the training. This review summarizes (1) the evolution and impact of the fast-changing AI technology on cIMT/PA measurement, (2) the mathematical representations of ML/DL methods, and (3) segmentation approaches for cIMT/PA regions in carotid scans based for (a) region-of-interest detection and (b) lumen-intima and media-adventitia interface detection using ML/DL frameworks. AI-based methods for cIMT/PA segmentation have emerged for CVD/stroke risk monitoring and may expand to the recommended parameters for atherosclerosis assessment by carotid ultrasound.

引用

页码：581 / 604

页数：24

共 161 条

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