Multi-Modality Imaging, 1st ed. 2018
Applications and Computational Techniques

Coordinators: Abreu de Souza Mauren, Remigio Gamba Humberto, Pedrini Helio

Language: Anglais

166.94 €

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256 p. · 15.5x23.5 cm · Hardback

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.

1. Infrared Thermography
2. Photoplethysmography Imaging and Common Optical Hybrid Imaging Modalities
3. Multimodal Image Fusion for Cardiac Resynchronization Therapy Planning
4. CFD based post-processing of CT-MRI data to determine the Mechanics of Rupture in Abdominal Aortic Aneurysms
5. Human Head Modelling Simulation Applied to Electroconvulsive Therapy
6. Magnetic Resonance Imaging for Brain Mapping
7. The use of photon scattering interactions in the diagnosis and treatment of disease
8. Digital Breast Tomosynthesis: systems, characterization and simulation
9. Out-of-Core Rendering of Large Volumetric Data Sets at Multiple Levels of Detail
10. Geometric and Topological Modelling of Organs and Vascular Structures from CT Data
Index
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.

  • Presents different approaches on multi-modality imaging including functional (related to physiological body measurements) and anatomical (structural) imaging modalities
  • Broadens readers’ understanding of medical applications for both invasive (e.g. CT, X-ray diffraction and Tomosynthesis) and non-invasive imaging modalities (e.g. infrared thermography (IRT), photoplethysmography imaging (PPGI), and MRI)
  • Covers in detail 3D image modelling for a variety of applications, including some computational approaches, such as out-of-core volume rendering of massive high resolution data and visualization of 3D models for surgery planning and training applications