Editors:
- Presents a new dimension of understanding Atherosclerosis in 2D and 3D
- Presents work on plaque stress analysis in order to provide a general framework of computational modeling with Atherosclerosis plaques
- Focuses on patient specific material property characterization by using in-vivo MRI data
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (29 chapters)
-
Front Matter
-
Introduction: Anatomy and Imaging
-
Front Matter
-
-
MR Atherosclerosis
-
Front Matter
-
-
CT Atherosclerosis Imaging
-
Front Matter
-
About this book
Stroke is one of the leading causes of death in the world, resulting mostly from the sudden ruptures of atherosclerosis carotid plaques. Understanding why and how plaque develops and ruptures requires a multi-disciplinary approach such as radiology, biomedical engineering, medical physics, software engineering, hardware engineering, pathological and histological imaging. Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment presents a new dimension of understanding Atherosclerosis in 2D and 3D. This book presents work on plaque stress analysis in order to provide a general framework of computational modeling with atherosclerosis plaques. New algorithms based on 3D and 4D Ultrasound are presented to assess the atherosclerotic disease as well as very recent advances in plaque multimodality image fusion analysis.
The goal of Multi-Modality Atherosclerosis Imaging, Diagnosis and Treatment is to fuse information obtained from different 3D medical image modalities, such as 3D US, CT and MRI, providing the medical doctor with some sort of augmented reality information about the atherosclerotic plaque in order to improve the accuracy of the diagnosis. Analysis of the plaque dynamics along the cardiac cycle is also a valuable indicator for plaque instability assessment and therefore for risk stratification. 4D Ultrasound, a sequence of 3D reconstructions of the region of interest along the time, can be used for this dynamic analysis. Multimodality Image Fusion is a very appealing approach because it puts together the best characteristics of each modality, such as, the high temporal resolution of US and the high spatial resolutions of MRI and CT.
Editors and Affiliations
-
Department of Radiology, A.O.U Cagliari - Polo di Monserrato, Bivio per Sestu, Italy
Luca Saba
-
Instituto Superior Técnico Institute for Systems and Robotics, Lisboa, Portugal
João Miguel Sanches
-
Hospital de Santa Maria, Lisboa, Portugal
Luís Mendes Pedro
-
Stroke Research and Monitoring Division, AtheroPoint(TM) LLC, Roseville, USA
Jasjit S. Suri
Bibliographic Information
Book Title: Multi-Modality Atherosclerosis Imaging and Diagnosis
Editors: Luca Saba, João Miguel Sanches, Luís Mendes Pedro, Jasjit S. Suri
DOI: https://doi.org/10.1007/978-1-4614-7425-8
Publisher: Springer New York, NY
eBook Packages: Medicine, Medicine (R0)
Copyright Information: Springer Science+Business Media, LLC 2014
Hardcover ISBN: 978-1-4614-7424-1
Softcover ISBN: 978-1-4939-4289-3
eBook ISBN: 978-1-4614-7425-8
Edition Number: 1
Number of Pages: XIX, 422
Number of Illustrations: 122 b/w illustrations, 208 illustrations in colour
Topics: Imaging / Radiology, Cardiology, Image Processing and Computer Vision