Cardiovascular disease (CVD) is 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. Compiled by experts in the field, a thorough investigation is given to current topics and problems relating to CVD, which will enable the scientific and medical communities to search for the most effective strategies for dealing with these diseases. As one of the most prominent diseases in our society, CVD requires dedicated analysis and investigation in order to reduce the mortality rate worldwide. Scholars, biomedical engineers and medical practitioners will greatly benefit from the detailed information in this book as it will give a better understanding of the causes, diagnosis and treatment of CVD.
Innehållsförteckning
Volume 1
1 – Bioabsorbable eluting scaffolds in the era of optical coherence tomography: real world
clinical practice
2 – Computer modeling of blood flow and plaque progression in the stented coronary artery
3 – OCT in the evaluation of late stent pathology: Restenosis, neoatherosclerosis and late malapposition
4 – Assessment of atherosclerosis in large arteries from PET images
5 – Graph-Based Cross-Sectional Intravascular Images Segmentation
6 – 3D-2D Registration of Vascular Structures
7 – Endovascular Navigation with Intravascular Imaging
8 – Fast Virtual Endovascular Stenting: technique, validation and applications in computational hemodynamics
9 – Blind Inpainting and Outlier Detection using Logarithmic Transformation and Total Variation
10 – Differential imaging for the detection of extra-luminal blood perfusion due to vasa vasorum
11 – An improved framework for IVUS-based coronary artery disease risk stratification by fusing wall-based and texture-based features during machine learning paradigm
12 – Current status of computational fluid dynamics for modeling of diseased vessels
13 – A Cloud-Based Smart IMT Measurement Tool for Multicenter Clinical Trial and Stroke Risk Stratification in Carotid Ultrasound
Om författaren
Petia Radeva is a senior researcher and full professor at the University of Barcelona, where she is also the head of the Computer Vision and Machine Learning Consolidated Research Group (CVUB), as well as the head of Medical Imaging Laboratory (Mi Lab) of Computer Vision Centre, Spain. Her research interests include the development of deep learning, computer vision and lifelogging, and their applications to healthcare. Radeva is an IAPR Fellow, and she has received Icrea Academia and the CIARP Aurora Pons Porrata awards.
Jasjit S Suri is an innovator, scientist, industrialist and an internationally known world leader in biomedical engineering, sciences and its management. He has written numerous publications and is currently the chairman of Athero Point, USA, dedicated in stroke and cardiovascular imaging. He is a recipient of Life Time Achievement Award by Marquis (2018) and a Fellow of the American Institute of Medical and Biological Engineering (2004).
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