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Digital Radiology [Kõva köide]

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Digital Radiology
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Suitable for students with a first degree in physics, electrical engineerin, computer science or biomedical engineering. The original aim of this book was to provide dentists with an accessible text that explained how to use computer power to reconstruct and enhance radiological images, for diagnosis and for planning appropriate treatment for maxillo-facial disorders. Dentists spent money on new equipment, and have been more open to exploring new techniques than their colleagues working in radiology and radiotherapy departments. No longer. This book will provide a unique text for students in biomedical engineering, and medical physics faculty studying image processing / analysis / computer tomography. Enhanced computing power is now widely used in radiology and radiotherapy departments for improved diagnosis, and treatment planning. It enables earlier detection (for example) of tumours. Its more detailed pictures enable more accurate analysis of soft tissue damage (for example) in sport injuries, or more appropriate dosimetry in radiotherapy.
Introduction: Why this book? Applications today; Applications tomorrow;
Digital image processing; Electromagnetic spectrum. Image formation by
ionizing radiation: Physics of ionizing radiation; geometry of image
formation; Physics of image intensifiers; Physics of fluorography; Physics of
xeroradiography; Dual energy imaging; Nuclear medicine: ECT and PET;
Exercises. Image formation by non-ionizing radiation: Introduction to
alternative modalities: Acoustical physics; Ultrasound image formation;
Physics and magnetic resonance; Magnetic resonance image formation;
Exercises. Digital image formation; Characteristics of image formation: MFT,
resolution and sources of noise; System components; Film scanning devices;
Direct image acquiistion devices; Image display and storage; Exercises. Point
operation on digital images: Arithmetic operations; Logical operations;
Intensity histograms and contrast modifications; Intensity histograms and
thresholding; Applications and examples; Exercises. Neighbourhood operations:
Convolution; Spatial and frequency domain filtering; Edge detection; Edge
preserving smoothing; Applications and examples. Grouping operations: Binary
and gray level connected components; Statistical methods for grouping;
Boundary methods for grouping; Combinations of region and boundary methods;
Applications and examples; Exercises. Interpretation: Measures of diagnostic
performance; Human interpretation; Computer techniques for interpretation; AI
and expert systems; Exercises. related topics: Calibration and dosimetry;
Picture archival and communication; Exercises. Three dimensional
reconstruction and tomosynthesis. Bibliography and references. Glossary.
Answers to exercises.