TY  - BOOK
AU  - Radeva,Petia
AU  - Suri,Jasjit S.
ED  - Institute of Physics (Great Britain),
TI  - Vascular and intravascular imaging trends, analysis, and challenges
T2  - [IOP release 6]
SN  - 9780750320023
AV  - RC670 .R348 2019eb vol. 2
U1  - 616.1/075 23
PY  - 2019///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Cardiovascular system
KW  - Diseases
KW  - Imaging
KW  - Computer simulation
KW  - Atherosclerotic plaque
KW  - Cardiovascular Diseases
KW  - diagnostic imaging
KW  - Computer Simulation
KW  - Plaque, Atherosclerotic
KW  - Biomedical engineering
KW  - bicssc
KW  - TECHNOLOGY & ENGINEERING / Biomedical
KW  - bisacsh
N1  - "Version: 20190801"--Title page verso; Includes bibliographical references; section I. Review on wall quantification, tissue characterization and coronary and carotid artery risk stratification. 1. Coronary and carotid artery calcium detection, its quantification and grayscale morphology-based risk stratification in mul; 2. Risk of coronary artery disease : genetics and external factors -- 2.1. Introduction -- 2.2. External factors -- 2.3. Genetics of coronary artery disease -- 2.4. Multimodal coronary imaging -- 2.5. Association of CVD with other prevalent dise; 3. Wall quantification and tissue characterization of the coronary artery -- 3.1. Introduction -- 3.2. Physics of image acquisition -- 3.3. Tissue characterization -- 3.4. A link between carotid and coronary artery disease -- 3.5. Wall quantific; 4. Rheumatoid arthritis : its link to atherosclerosis imaging and cardiovascular risk assessment using machine-learning-based tissue characterization -- 4.1. Introduction -- 4.2. Search strategy -- 4.3. Brief description of the pathogensis of rh; section II. Deep learning strategy for accurate lumen and carotid intima-media thickness measurement. 5. A deep-learning fully convolutional network for lumen characterization in diabetic patients using carotid ultrasound : a tool for stroke ris; 6. Deep-learning strategy for accurate carotid intima-media thickness measurement : an ultrasound study on a Japanese diabetic cohort -- 6.1. Introduction -- 6.2. Data demographics and US acquisition -- 6.3. Methodology -- 6.4. Experimental prot; section III. Association of morphological and echolucency-based phenotypes with HbA1c 7 Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients. 7.1. Introduction -- 7.2. Patient demographics a; 8. Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in a diabetes cohort -- 8.1. Introduction -- 8.2. Materials and methods -- 8.3. Results -- 8.3..4 Logistic regressio; section IV. Deep learning strategy for accurate lumen and carotid intima-media thickness measurement. 9. Plaque tissue morphology-based stroke risk stratification using carotid ultrasound : a polling-based PCA learning paradigm -- 9.1. Introduct; 10. Multiresolution-based coronary calcium volume measurement techniques from intravascular ultrasound videos -- 10.1. Introduction -- 10.2. Patient demographics and data acquisition -- 10.3. Methodology -- 10.4. Results -- 10.5. Performance eva; 11. A cloud-based smart lumen diameter measurement tool for stroke risk assessment during multicenter clinical trials -- 11.1. Introduction -- 11.2. Materials and methods -- 11.3. Results -- 11.4. Discussion -- 11.5. Conclusion; section V. Micro-electro-mechanical-system (MEMS) 12 A MEMS-based manufacturing technique of vascular bed. 12.1. Introduction -- 12.2. Microstructural anatomy of blood vessels -- 12.3. Modeling of blood vessels as a microsystem -- 12.4. Scaling; Academia and researchers, graduate students in medical imaging; Also available in print
N2  - Cardiovascular Diseases (CVDs) are responsible for a third of all deaths in women and more than a half in men. Despite continuous improvements in treatment devices and imaging, there is still a rise in the morbidity rate from CVDs each year. Com
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ER  -