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© 2018

Multi-Modality Imaging

Applications and Computational Techniques

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

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

About the editors

Mauren Abreu de Souza is affiliated with the Pontifical Catholic University of Paraná (PUCPR), in Curitiba, Brazil. She received her Ph.D. degree in Medical Physics and Bioengineering from University College London (2009), UK. She received her M.Sc. in Electrical Engineering (emphasis: Biomedical Engineering) from the Federal University of Technology – Paraná (UTFPR), (2002), Brazil. She has a degree in Physics (B.Sc together with physics’ teaching) from the Federal University of Paraná – UFPR (1999), in Curitiba, Brazil. Her research interests include 3D multimodality imaging, 3D image reconstruction, computed tomography (CT) images, rapid prototyping, optical tomography, infrared thermal images, and 3D modelling (e.g. photogrammetry and 3D scanning systems).

Humberto Remigio Gamba is currently a professor in the Federal University of Technology – Paraná (UTFPR), Curitiba, Brazil. He received his Ph.D. degree in Medical Physics from University College London (1996), UK. He received his M.Sc. in Electrical Engineering from the University of Campinas (1989), Brazil. His B.Sc. degree in Electrical Engineering from the Federal University of Technology – Paraná (UTFPR), (1986), in Curitiba, Brazil. His research interests include Biomedical engineering (emphasis in both medical and dentistry instrumentation), image processing, ultrasound, and functional magnetic resonance (fMRI).

Helio Pedrini is currently a professor in the Institute of Computing at the University of Campinas, Brazil. He received his Ph.D. degree in Electrical and Computer Engineering from Rensselaer Polytechnic Institute, Troy, NY, USA. He received his M.Sc. in Electrical Engineering and his B.Sc. in Computer Science, both degrees from the University of Campinas, Brazil. His research interests include image processing, computer vision, pattern recognition, machine learning, computer graphics, and scientific visualization.

Bibliographic information

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