Autor: Athanasiou, Lambros SFotiadis, Dimitrios IMichalis, Lampros K
Wydawca: Elsevier
Dostępność: 3-6 tygodni
Cena: 825,30 zł
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ISBN13: |
9780128047347 |
Autor: |
Athanasiou, Lambros SFotiadis, Dimitrios IMichalis, Lampros K |
Oprawa: |
Paperback |
Rok Wydania: |
2017-05-08 |
Tematy: |
MQW |
Atherosclerotic Plaque Characterization Methods Based on Coronary Imaging provides a complete review of computer methods for atherosclerotic plaque reconstruction and characterization. The authors, with their expertise from biomedical engineering, computer science, and cardiology, offer a holistic view. The focus of the book is on the presentation of major imaging techniques, including their limitations. It includes details on the mechanical characterization and properties of plaques and appropriate constitutive models to describe the mechanical behavior of plaques.
The authors explore the challenges of using multiple coronary imaging technologies, and provide the pros and cons of invasive vs. non-invasive techniques. Methods for plaque characterization and 3D reconstruction of coronary arteries using IVUS, OCT, and CT images are described.
This book will help readers study new trends in image processing analysis and plaque characterization, implement automated plaque characterization methodologies, understand coronary imaging drawbacks, and comprehend 3 dimensional coronary artery and plaque reconstruction methods.
1. Introduction 2. Principles of Coronary Imaging Techniques 3. Quantitative Coronary Angiography methods 4. Plaque Characterization Methods using Intravascular Ultrasound Imaging (IVUS) 5. Plaque Characterization Methods using Optical Coherence Tomography (OCT) 6. Plaque Characterization Methods using Computed Tomography (CT) 7. Methods for Three Dimensional (3D) reconstruction of Coronary Arteries and Plaque 8. Propagation of Segmentation and Imaging System Errors 9. Validation using Histological and Micro-CT Data: Registration and Inflation using IVUS 10. Structure and Mechanical Behavior of Atherosclerotic Plaque 11. Conclusions and Future Trends
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