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Multi-Modality Atherosclerosis Imaging and Diagnosis

  • Luca Saba
  • João Miguel Sanches
  • Luís Mendes Pedro
  • Jasjit S. Suri

Table of contents

  1. Front Matter
    Pages i-xix
  2. Introduction: Anatomy and Imaging

    1. Front Matter
      Pages 1-1
    2. J. Fernandes e Fernandes, L. Mendes Pedro, R. Fernandes e Fernandes, L. Silvestre
      Pages 3-12
  3. MR Atherosclerosis

    1. Front Matter
      Pages 13-13
    2. Masataka Nakano, Elena Ladich, Renu Virmani
      Pages 15-24
    3. Michele Anzidei, Beatrice Cavallo Marincola, Fabrizio Boni, Carlo Catalano
      Pages 25-35
    4. Michele Anzidei, Chiara Zini, Vincenzo Noce, Carlo Catalano
      Pages 65-71
    5. Erica Maffei, Giancarlo Messalli, Cesare Mantini, Teresa Arcadi, Chiara Martini, Massimo Imbriaco et al.
      Pages 73-80
    6. Hao Gao, Quan Long
      Pages 81-93
    7. Rohitashwa Sinha, Karol P. Budohoski, Victoria E. L. Young, Rikin A. Trivedi
      Pages 107-119
  4. CT Atherosclerosis Imaging

    1. Front Matter
      Pages 121-121
    2. Chandra dev Sahu, Max Wintermark
      Pages 123-128
    3. Max J. van Gils, K. Hameeteman, M. van Straten, W. J. Niessen, Aad van der Lugt
      Pages 129-144
    4. Erica Maffei, Giancarlo Messalli, Cesare Mantini, Teresa Arcadi, Chiara Martini, Massimo Imbriaco et al.
      Pages 145-151
  5. Ultrasound Atherosclerosis Imaging

    1. Front Matter
      Pages 153-153
    2. G. Vegas-Sánchez-Ferrero, M. Martín-Fernández, J. Miguel Sanches
      Pages 155-171
    3. José Seabra, L. M. Pedro, J. Fernandes e Fernandes, J. Miguel Sanches
      Pages 173-185
    4. Luís Mendes Pedro, Ruy Fernandes e Fernandes, Luís M. Silvestre, J. Fernandes e Fernandes
      Pages 187-197
    5. Filippo Molinari, Kristen M. Meiburger, Luca Saba, U. Rajendra Acharya, Luca Famiglietti, Niki Georgiou et al.
      Pages 209-219
    6. Filippo Molinari, Kristen Mariko Meiburger, U. Rajendra Acharya, William Liboni, Andrew Nicolaides, Jasjit S. Suri
      Pages 221-236
    7. John D. Kakisis, Efthimios Avgerinos, Nikolaos Kadoglou, George Sfyroeras, Konstantinos Moulakakis, Christos D. Liapis
      Pages 247-253
    8. Rui Rocha, Jorge Silva, Aurélio Campilho
      Pages 269-286
  6. Nuclear Medicine, Molecular Imaging and Therapy

    1. Front Matter
      Pages 287-287
    2. Gerrit L. ten Kate, Stijn C. H. van den Oord, Eric J. G. Sijbrands, Antonius F. W. van der Steen, Arend F. L. Schinkel
      Pages 299-316
    3. Sebastián Baldi, Luis García Nielsen, Tobias Zander, Rafael Feldman, Manuel Maynar
      Pages 317-339
    4. Arash Taki, Alireza Roodaki, Sara Avansari, Ali Bigdelou, Amin Katouzian, Nassir Navab
      Pages 341-376
    5. Gerd Brunner, Eric Y. Yang, Joel D. Morrisett, Zsolt Garami, Vijay Nambi
      Pages 385-398
    6. U. Rajendra Acharya, Oliver Faust, S. Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides et al.
      Pages 399-408
  7. Back Matter
    Pages 409-422

About this book

Introduction

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.

Keywords

3D atherosclerosis atherosclerosis biomarkers carotid arteries carotid plaque carotids

Editors and affiliations

  • Luca Saba
    • 1
  • João Miguel Sanches
    • 2
  • Luís Mendes Pedro
    • 3
  • Jasjit S. Suri
    • 4
  1. 1.Department of RadiologyA.O.U Cagliari - Polo di MonserratoBivio per SestuItaly
  2. 2.Instituto Superior Técnico Institute for Systems and RoboticsLisboaPortugal
  3. 3.Hospital de Santa MariaLisboaPortugal
  4. 4.Stroke Research and Monitoring Division, AtheroPoint(TM) LLCRosevilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-7425-8
  • Copyright Information Springer Science+Business Media, LLC 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Medicine
  • Print ISBN 978-1-4614-7424-1
  • Online ISBN 978-1-4614-7425-8
  • Buy this book on publisher's site