S. El-Baz / Suri | Cardiovascular and Coronary Artery Imaging | Buch | 978-0-12-821983-6 | sack.de

Buch, Englisch, 550 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

S. El-Baz / Suri

Cardiovascular and Coronary Artery Imaging

Volume 2
Erscheinungsjahr 2022
ISBN: 978-0-12-821983-6
Verlag: William Andrew Publishing

Volume 2

Buch, Englisch, 550 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

ISBN: 978-0-12-821983-6
Verlag: William Andrew Publishing


Cardiovascular and Coronary Artery Imaging, Volume Two presents the basics of echocardiography, nuclear imaging and magnetic resonance imaging (MRI) and provides insights into their appropriate use. The book covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular and coronary artery disease diagnosis. It includes several prominent imaging modalities such as MRI, CT and PET technologies. Other sections focus on major trends and challenges in this area and present the latest techniques for cardiovascular and coronary image analysis.
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Weitere Infos & Material


Part A: Cardiovascular Imaging  Section 1: Cardiovascular Perfusion Imaging 1. Relation of pulse pressure and arterial stiffness to concentric left ventricular hypertrophy in young men left ventricular perfusion and function by gated SPECT myocardial perfusion imaging 2. Metabolic Mechanisms in Heart Failure 3. Myocardial Scarring on Outcomes of Cardiac Resynchronization 4. Cardiac resynchronization therapy

Section 2: Other Imaging Modalities 5. Arterial ultrasonography and tonometry as adjuncts to cardiovascular risk stratification 6. Comparison of arterial functional evaluations as a predictor of cardiovascular events 7. Predicting cardiac events using ventricular dyssynchrony 8. The blood pressure response to vasodilator stress

Part B: Coronary Imaging Section 1: Myocardial Perfusion Imaging 9. Cardiac Magnetic Resonance Assessment of Dyssynchrony 10. Importance of Nonobstructive Coronary Artery Disease in the Prognosis of Patients with Heart Failure 11. Survival and Heart Failure Hospitalization in Patients with Cardiac Resynchronization Therapy

Section 2: Other Imaging Modalities 12. Comparative effectiveness of coronary CT angiography vs stress cardiac imaging 13. Myocardial ischemia in the absence of obstructive coronary lesion 14. Diagnosis of Coronary heart disease 15. Computed Tomography Angiography of Coronary heart disease 16. Outcomes of non-invasive diagnostic modalities for the detection of coronary artery disease


Suri, Jasjit
Dr. Jasjit Suri, PhD, MBA, is an innovator, visionary, scientist, and internationally known world leader. Dr Suri received the Director General's Gold medal in 1980 and Fellow of (i) American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC, (ii) Institute of Electrical and Electronics Engineers, (iii) American Institute of Ultrasound in Medicine, (iv) Society of Vascular Medicine, (v) Asia Pacific Vascular Society, and (vi) Asia Association of Artificial Intelligence. Dr. Suri was honored with life time achievement awards by Marcus, NJ, USA and Graphics Era University, Dehradun, India. He has published nearly 300 peer-reviewed Artificial Intelligence articles, nearly 2000 Google Scholar Publications, 100 books, and 100 innovations/trademarks leading to an H-index of nearly 100 with about 43,000 citations. He has held positions as chairman of AtheroPoint, CA, USA, IEEE Denver section, Colorado, USA, and advisory board member to healthcare industries and several universities in the United States of America and abroad.

S. El-Baz, Ayman
Dr. El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master's degrees in Electrical Engineering in 1997 and 2001, respectively. He earned his doctoral degree in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contributions to the field of biomedical translational research. Dr. El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 450 technical articles (105 journals, 15 books, 50 book chapters, 175 refereed-conference papers, 100 abstracts, and 15 US patents).


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