Multi-Modality Imaging

Presents different approaches on multi-modality imaging including functional (related to physiological body measurements) and/or anatomical (structural) imaging modalities.

Broadens readers' understanding of medical applications for both invasive (i.e. 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 of the computational approaches, such as out-of-core volume rendering of massive high resolution data, and visualization of 3D models mainly for surgery planning and training applications.

Auteur
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.

Contenu

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