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Multi-Modality Imaging

Applications and Computational Techniques

  • Mauren Abreu de Souza
  • Humberto Remigio Gamba
  • Helio Pedrini

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Carina Barbosa Pereira, Xinchi Yu, Stephan Dahlmanns, Vladimir Blazek, Steffen Leonhardt, Daniel Teichmann
    Pages 1-30
  3. Vladimir Blazek, Stephan Dahlmanns, Carina Barbosa Pereira, Xinchi Yu, Nikolai Blanik, Steffen Leonhardt et al.
    Pages 31-66
  4. Sophie Bruge, Antoine Simon, Nicolas Courtial, Julian Betancur, Alfredo Hernandez, François Tavard et al.
    Pages 67-82
  5. Tejas Canchi, Eddie Y. K. Ng, Ashish Saxena, Sriram Narayanan
    Pages 83-101
  6. Marília Menezes de Oliveira, Bo Song, Tony Ahfock, Yan Li, Paul Wen
    Pages 103-133
  7. Robert Moss, Andrea Gutierrez, Amany Amin, Chiaki Crews, Robert Speller, Francesco Iacoviello et al.
    Pages 135-158
  8. Anastasios Konstantinidis, Selina Kolokytha, Andria Hadjipanteli
    Pages 159-189
  9. Paulo Henrique Junqueira Amorim, Thiago Franco de Moraes, Jorge Vicente Lopes da Silva, Helio Pedrini
    Pages 191-215
  10. João Fradinho Oliveira, José Blas Pagador, José Luis Moyano-Cuevas, Francisco Miguel Sánchez-Margallo, Hugo Capote
    Pages 217-247
  11. Back Matter
    Pages 249-256

About this book

Introduction

This book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities.

In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications.

Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.

Keywords

Optical Medical Imaging Systems Multi-Modality Imaging advances Multi-Modality Imaging Close Range Photogrammetry Close Range Photogrammetry medical Infrared Thermography medical Biomechanical 3D shape models anatomical 3D shape models Image Modelling Planning Surgery Image Processing Medical Computer Vision medical images Modeling Medical 3D Visualization Computer Graphics medical 3d

Editors and affiliations

  • Mauren Abreu de Souza
    • 1
  • Humberto Remigio Gamba
    • 2
  • Helio Pedrini
    • 3
  1. 1.Graduate Program on Health Technology (PPGTS)Pontifical Catholic University of Paraná – PUCPRCuritibaBrazil
  2. 2.Federal University of Technology – Paraná (UTFPR)CuritibaBrazil
  3. 3.Institute of ComputingUniversity of CampinasCampinasBrazil

Bibliographic information

Industry Sectors
Pharma
Biotechnology