Medical Imaging (eBook, PDF)

Technology and Applications
Redaktion: Farncombe, Troy; Iniewski, Kris

• Format: PDF

Produktbeschreibung

The book has two intentions. First, it assembles the latest research in the field of medical imaging technology in one place. Detailed descriptions of current state-of-the-art medical imaging systems (comprised of x-ray CT, MRI, ultrasound, and nuclear medicine) and data processing techniques are discussed. Information is provided that will give interested engineers and scientists a solid foundation from which to build with additional resources. Secondly, it exposes the reader to myriad applications that medical imaging technology has enabled.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 740
• Erscheinungstermin: 19. Dezember 2017
• Englisch
• ISBN-13: 9781466582637
• Artikelnr.: 40067946

Autorenporträt

Farncombe, Troy; Iniewski, Kris

Inhaltsangabe

Future of Medical Imaging. Ultrahigh-Speed Real-Time Multidimensional
Optical Coherence Tomography. Molecular Imaging True Color Spectroscopic
(METRiCS) Optical Coherence Tomography. Spatial and Spectral Resolution of
Semiconductor Detectors in Medical Imaging. Design and Assessment
Principles of Semiconductor Flat-Panel Detector-Based X-Ray Micro-CT
Systems for Small-Animal Imaging. Dual-Energy CT Imaging with Fast-kVp
Switching. Four-Dimensional Computed Tomography. Image Reconstruction
Algorithms for X-Ray CT. Portable High-Frequency Ultrasound Imaging System
Design and Hardware Considerations. Recent Advances in Capacitive
Micromachined Ultrasonic Transducer Imaging Systems. PET Detectors. Recent
Developments of High-Performance PET Detectors. CT-SPECT/CT-PET.
Multimodality Imaging with MR/PET and MR/SPECT. Reducing Respiratory
Artifacts in Thoracic PET/CT. Image Reconstruction for 3D PET. Tracer
Kinetic Analysis for PET and SPECT. Multicoil Parallel MRI. Brain
Connectivity Mapping and Analysis Using Diffusion MRI. T1rho MR Imaging:
Principle, Technology, and Application. Brain Connectivity Assessed with
Functional MRI. Medical Image Registration: A Review. Medical Image
Segmentation: Energy Minimization and Deformable Models. Index.