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.
Table of Contents:
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
About the Author :
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 (MiLab) 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 AtheroPoint,
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).
