Jack Lancaster, Bruce Hasegawa

Fundamental Mathematics and Physics of Medical Imaging (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Authored by a leading educator, this book teaches the fundamental mathematics and physics concepts associated with medical imaging systems. Going beyond mere description of imaging modalities, this book delves into the mechanisms of image formation and image quality common to all imaging systems: contrast mechanisms, noise, and spatial and temporal resolution, making it an important reference for medical physicists and biomedical engineering students. This is an extensively revised new edition of The Physics of Medical X-Ray Imaging by Bruce Hasegawa (Medical Physics Publishing, 1991), and includes a wide range of modalities such as X-ray CT, MRI and SPECT.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 346
• Erscheinungstermin: 14. Oktober 2016
• Englisch
• ISBN-13: 9781498751643
• Artikelnr.: 46883168

Autorenporträt

Jack Lancaster's research activities focus on theory, acquisition, and processing of 3D images of humans and animals. His research in modeling has lead to the development of new 3D standardized models of the human brain, methods to assess myelin levels during early brain development, and a new theory of interactions of pulsed E-M fields in the brain. He is a member of the Committees on Graduate Studies for the joint UTSA-UTHSCSA Biomedical Engineering Program and the UTHSCSA Radiological Sciences program, where he teaches courses in advanced imaging concepts. He is also Co-Editor of the Human Brain Mapping journal and actively involved in groups developing standards for brain mapping. He has published over 150 articles in peerreviewed journals.

Inhaltsangabe

Basic Concepts. Overview. Medical Imaging Technology & Terminology. Digital
Imaging in Diagnostic Radiology. Intermediate Concepts. Physical
Determinants of Contrast. Mathematics for Linear Systems. Spatial
Resolution. Random Processes. Noise and Detective Quantum Efficiency.
Advanced Concepts. Noise-Resolution Models. The Rose Model. Receiver
Operating Characteristics (ROC) Analysis. Dynamic Imaging. Digital
Subtraction Angiography (DSA). Temporal Filtering. Tomographic Imaging.
X-Ray Computed Tomography (CT). Single Photon Emission Computed Tomography
(SPECT). Magnetic Resonance Imaging (MRI).