Instruction Manual for Medical Imaging Signals and Systems 2nd Edition by Jerry Prince – Ebook PDF Instant Download/Delivery: 0133583163, 9780133583168
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Product details:
ISBN 10: 0133583163
ISBN 13: 9780133583168
Author: Jerry Prince
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This tet is designed for courses in medical imaging systems. It is also suitable for professionals seeking an overview of medical imaging systems. With signal processing as its foundation, Medical Imaging Signals and Systems, Second Edition covers the most important imaging modalities in radiology: projection radiography, -ray computed tomography, nuclear medicine, ultrasound imaging, and magnetic resonance imaging. Organized into parts to emphasize key overall conceptual divisions, Medical Imaging is most appropriate for engineering students who have taken the prerequisite signals and systems courses as well as elementary probability. This program presents a better teaching and learning eperience—for you and your students. Teach with a dynamic art program: The tet’s wealth of images and diagrams help students visualize key concepts. Capture students’ attention: Motivational eample problems both keep students focused and reveal interesting features. Use relevant material: Biologically relevant eamples illustrate the important contet of medical imaging.
Medical Imaging Signals and Systems 2nd Table of contents:
Part I. Basic Imaging Principles
Overview
Chapter 1. Introduction
1.1 History of Medical Imaging
1.2 Physical Signals
1.3 Imaging Modalities
1.4 Projection Radiography
1.5 Computed Tomography
1.6 Nuclear Medicine
1.7 Ultrasound Imaging
1.8 Magnetic Resonance Imaging
1.9 Multimodality Imaging
1.10 Summary and Key Concepts
Further Reading
Chapter 2. Signals and Systems
2.1 Introduction
2.2 Signals
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2.2.1 Point Impulse
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2.2.2 Line Impulse
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2.2.3 Comb and Sampling Functions
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2.2.4 Rect and Sinc Functions
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2.2.5 Exponential and Sinusoidal Signals
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2.2.6 Separable Signals
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2.2.7 Periodic Signals
2.3 Systems
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2.3.1 Linear Systems
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2.3.2 Impulse Response
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2.3.3 Shift Invariance
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2.3.4 Connections of LSI Systems
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2.3.5 Separable Systems
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2.3.6 Stable Systems
2.4 The Fourier Transform
2.5 Properties of the Fourier Transform
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2.5.1 Linearity
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2.5.2 Translation
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2.5.3 Conjugation and Conjugate Symmetry
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2.5.4 Scaling
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2.5.5 Rotation
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2.5.6 Convolution
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2.5.7 Product
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2.5.8 Separable Product
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2.5.9 Parseval’s Theorem
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2.5.10 Separability
2.6 Transfer Function
2.7 Circular Symmetry and the Hankel Transform
2.8 Summary and Key Concepts
Further Reading
Problems
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Signals and Their Properties
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Systems and Their Properties
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Convolution of Signals
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Fourier Transforms and Their Properties
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Transfer Function
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Applications, Extensions, and Advanced Topics
Chapter 3. Image Quality
3.1 Introduction
3.2 Contrast
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3.2.1 Modulation
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3.2.2 Modulation Transfer Function
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3.2.3 Local Contrast
3.3 Resolution
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3.3.1 Line Spread Function
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3.3.2 Full Width at Half Maximum
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3.3.3 Resolution and Modulation Transfer Function
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3.3.4 Subsystem Cascade
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3.3.5 Resolution Tool
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3.3.6 Temporal and Spectral Resolution
3.4 Noise
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3.4.1 Random Variables
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3.4.2 Continuous Random Variables
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3.4.3 Discrete Random Variables
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3.4.4 Independent Random Variables
3.5 Signal-to-Noise Ratio
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3.5.1 Amplitude SNR
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3.5.2 Power SNR
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3.5.3 Differential SNR
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3.5.4 Decibels
3.6 Sampling
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3.6.1 Signal Model for Sampling
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3.6.2 Nyquist Sampling Theorem
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3.6.3 Anti-Aliasing Filters
3.7 Other Effects
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3.7.1 Artifacts
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3.7.2 Distortion
3.8 Accuracy
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3.8.1 Quantitative Accuracy
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3.8.2 Diagnostic Accuracy
3.9 Summary and Key Concepts
Further Reading
Problems
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Contrast
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Resolution
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Random Variables and Noise
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Sampling Theory
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Artifacts, Distortion, and Accuracy
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Applications, Extensions, and Advanced Topics
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Tags: Jerry Prince, Medical Imaging, Signals and Systems