Demystifying Medical Image Processing Concepts for Design, Implementation and Management with Real Time Case Studies [Team-IRA]

Contents
Preface
Chapter 1
Introduction to Medical Imaging Modalities
	1.1. Introduction
	1.2. X-RAY Imaging
	1.3. Computed Tomography Imaging
	1.4. Magnetic Resonance Imaging
	1.5. Ultrasound Imaging
	Conclusion
Chapter 2
Basics of Medical Image Processing  Using MATLAB
	2.1. Introduction
	2.2. Source of Medical Data
	2.3. Usage of Imread and Imshow Function
	2.4. Usage of Subplot Function
	2.5. Usage of Imtool Function
	2.6. Usage of Imresize Function
	2.7. Usage of Flipud and Fliplr Function
	2.8. Usage of Imhist Function
	2.9. Usage of Imadd Function
	2.10. Program to Add Two Images
	2.11. Use of Imsubtract Function
	2.12. Program to Subtract Two Images
	2.13. Use of Imultiply Function
	2.14. Program To Multiply Two Images
	2.15. Use of Imdivide Function
	2.16. Program to Divide Images
	2.17. Extraction of Red, Green and Blue Component  from a Color Image
	2.18. Use of Im2bw Function
	2.19. Use of Imscale and Imrotate Function
	2.20. Display the Bit Planes of a Grayscale Image
	Conclusion
Chapter 3
Spatial Domain Filtering and Enhancement  of Medical Images
	3.1. Introduction
	3.2. MATLAB Code for Average Filter
	3.3. MATLAB Code for High Pass Filter
	3.4. MATLAB Code for Weighted Average Filter
	3.5. MATLAB Code for Median Filter
	3.6. MATLAB Code for Image Intensity Slicing
	3.7. MATLAB Code for Gaussian Filter
	3.8. MATLAB Code for Nonlinear Filters
	3.9. MATLAB Code for Wiener Filter
	Conclusion
Chapter 4
Frequency Domain Filtering of Medical Images
	4.1. Introduction
	4.2. MATLAB Code for Fast Fourier Transform of an Image
	4.3. MATLAB Code for Gaussian Low Pass Frequency  Domain Filter
	4.4. MATLAB Code for Butterworth Low Pass Frequency Domain Filter
	4.5. MATLAB Code for Gaussian High Pass Frequency Domain Filter
	4.6. MATLAB Code for Butterworth High Pass Frequency Domain Filter
	4.7. MATLAB Code for Gaussian High Boost Frequency Domain Filter
	4.8. MATLAB Code for Butterworth High Boost Frequency Domain Filter
	Conclusion
Chapter 5
Medical Image Segmentation
	5.1. Introduction
	5.2. MATLAB Code for Adaptive Thresholding
	5.3. MATLAB Code for Region Growing
	5.4. MATLAB Code for Edge Detection
	5.5. MATLAB Code for Watershed Segmentation
	5.6. MATLAB Code for K-Means Clustering
	5.7. MATLAB Code for Gauss Gradient Approach for Edge Detection
	Conclusion
Chapter 6
Wavelet Transforms in Medical  Image Processing
	6.1. Introduction
	6.2. Role of Wavelet Transforms in Medical Image Processing
	6.3. MATLAB Code for Wavelet Decomposition of Medical Image
	6.4. MATLAB Code for Watermarking of Medical Image
	6.5. MATLAB Code for Image Compression Using Haar  Wavelet Transform
	Conclusion
Chapter 7
Medical Image Compression
	7.1. Introduction
	7.2. Block Truncation Coding
	7.3. Wavelet Transform Based Compression
	7.4. Medical Image Compression Using Principal  Component Analysis
	7.5. Image Compression Using Singular Value Decomposition
	Conclusion
Chapter 8
Evaluation of Preprocessing, Segmentation, and Compression Algorithms
	8.1. Introduction
	8.2. Validation of Preprocessing Algorithms
	8.3. Validation of Segmentation Algorithms with Ground  Truth Images
	8.4. Validation of Clustering Segmentation Algorithms
	8.5. Validation of Compression Algorithms
	Conclusion
Chapter 9
Medical Image Encryption and Fusion
	9.1. Introduction
	9.2. Telemedicine
	9.3. Medical Image Fusion
	9.4. MATLAB Code for Medical Image Fusion Using Averaging Rule
	9.5. MATLAB Code for Medical Image Fusion Using  Wavelet Transform
	9.6. MATLAB Code for Classical Medical Image Encryption
	9.7. MATLAB Code for Medical Image Encryption Using BitXor Operator
	Conclusion
Chapter 10
Case Studies in Medical Image Processing
	10.1. Introduction
	10.2. Retinal Blood Vessel Detection Using Kirsch Algorithm
	10.3. Medical Image Edge Detection Using  Homogeneity Operation
	10.4 MATLAB Code for Homogeneous Mask Area Filter
	Conclusion
References
Index
About the Authors
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