TY  - BOOK
AU  - Radeva,Petia
AU  - Suri,Jasjit S.
TI  - Vascular and intravascular imaging trends, analysis, and challenges
T2  - [IOP release 6]
SN  - 9780750319973
AV  - RC670 .R348 2019eb vol. 1
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  - Stents (Surgery)
KW  - Cardiovascular Diseases
KW  - diagnostic imaging
KW  - Computer Simulation
KW  - Stents
KW  - Biomedical engineering
KW  - bicssc
KW  - TECHNOLOGY & ENGINEERING / Biomedical
KW  - bisacsh
N1  - "Version: 20190801"--Title page verso; Includes bibliographical references; section I. Vascular and intravascular clinical analysis. 1. OCT in the evaluation of late stent pathology : restenosis, neoatherosclerosis and late malapposition -- 1.1. Stent evolution and late stent pathology -- 1.2. OCT characterization of la; 2. Bioresorbable eluting scaffolds in the era of optical coherence tomography : real-world clinical practice -- 2.1. Introduction -- 2.2. Historical background and the search for the ideal bioresorbable scaffold -- 2.3. Bioresorbable scaffolds; section II. Computer modeling and computational fluid hemodynamics. 3. Computer modeling of blood flow and plaque progression in the stented coronary artery -- 3.1. Introduction -- 3.2. Methods -- 3.3. Results -- 3.4. Discussion and conclusions; 4. Current status of computational fluid dynamics for modeling of diseased vessels -- 4.1. Introduction -- 4.2. Constitutive equation of blood flow in a diseased vessel -- 4.3. Viscoelastic models of diseased blood -- 4.4. CFD modeling of blood; 5. Fast virtual endovascular stenting : technique, validation and applications in computational haemodynamics -- 5.1. Motivation -- 5.2. Virtual stenting -- 5.3. The fast virtual stenting method -- 5.4. Validation--how accurate is accurate enoug; section III. Vessel and stent segmentation. 6. Graph-based cross-sectional intravascular image segmentation -- 6.1. Introduction -- 6.2. Pre-processing -- 6.3. Feature extraction -- 6.4. Single- and double-interface segmentation -- 6.5. Results; 7. Blind inpainting and outlier detection using logarithmic transformation and total variation -- 7.1. Introduction -- 7.2. Blind inpainting -- 7.3. Experimental results -- 7.4. Conclusions and future work; 8. Differential imaging for the detection of extra-luminal blood perfusion due to the vasa vasorum -- 8.1. Introduction -- 8.2. Methods -- 8.3. Results -- 8.4. Discussion -- 8.5. Conclusion; 9. Assessment of atherosclerosis in large arteries from PET images -- 9.1. Introduction -- 9.2. The formation of atherosclerosis -- 9.3. Management of atherosclerosis -- 9.4. Detection of atherosclerosis -- 9.5. Imaging of atherosclerosis with P; 10. 3D-2D registration of vascular structures -- 10.1. Clinical interventions and 3D-2D registration -- 10.2. Mathematical definition of 3D-2D registration -- 10.3. Classification of 3D-2D registration -- 10.4. Review of registration bases -- 10; 11. Endovascular navigation with intravascular imaging -- 11.1. Introduction -- 11.2. Existing research into intravascular imaging for navigation -- 11.3. IVUS for navigation -- 11.4. The future of intravascular imaging for navigation -- 11.5. C; section IV. Risk stratification in carotid and coronary artery. 12. A cloud-based smart IMT measurement tool for multi-center clinical trial and stroke risk stratification in carotid ultrasound -- 12.1. Introduction -- 12.2. Patient demographics; 13. Stroke risk stratification and its validation using ultrasonic echolucent carotid wall plaque morphology : a machine learning paradigm -- 13.1. Introduction -- 13.2. Demographics, data acquisition and data preparation -- 13.3. Methodology --; 14. An improved framework for IVUS-based coronary artery disease risk stratification by fusing wall-based and texture-based features during a machine learning paradigm -- 14.1. Introduction -- 14.2. Patient demographics and data acquisition -- 1; 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
UR  - https://ezproxy.mef.edu.tr/login?url=https://iopscience.iop.org/book/978-0-7503-1997-3
ER  -