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Digital Signal Processing for Medical Imaging Using MATLAB
Introduction
Digital signal processing (DSP) techniques, like Radon transformation, Projection techniques, Fourier transformation in polar form, Hankel transformation, etc., are used in Medical imaging techniques like Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) during the process of imaging. These are not usually covered in the regular DSP and Image processing books.
This book is written with the intention to focus the DSP aspects used during the process of imaging in CT and MRI. Also, DSP aspects used in the post imaging techniques such as Image enhancement, Image compression and pattern recognition are also discussed in this book. The Matlab illustrations are given for better understanding. This book is suitable for beginners who are doing research in Medical imaging processing.
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Table of Content
1 Radon Transformation
1.1 Introduction to Computed Tomography (CT)
1.2 Parallel Beam Projection
1.3 Fanbeam Projection
2 Magnetic Resonance Imaging
2.1 Bloch Equation
2.2 Comment on the Equations
2.3 The Larmor Frequency and the Tip Angle
2.4 Trick on MRI
2.5 Selecting the Human Slice and the Corresponding External RF Pulse
2.6 Measurement of the Transverse Component Using the Receiver Antenna
2.7 Sampling the MRI Image in the Frequency Domain
2.8 Practical Difficulties and Remedies in MRI
3 Illustrations on MRI Techniques Using Matlab
3.1 Illustration on the Steps Involved in Obtaining Proton-Density MRI Image.
3.2 Illustration on the Steps Involved in Obtaining the T2 MRI Image Using Cartesian Scanning
3.3 Illustration on the Steps Involved in Obtaining the T2 MRI Image Using Polar Scanning
3.4 Illustration on the Steps Involved in Obtaining the T1 MRI Image
4 Medical Image Processing
4.1 Summary on the Various Medical Imaging Techniques
4.2 Image Enhancement
4.3 Image Compression
4.4 Feature Extraction and Classification
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Digital Signal Processing for Medical Imaging
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