Biomedical Signal and Image ProcessingAll of the biomedical measurement technologies, which are now instrumental to the medical field, are essentially useless without proper signal and image processing. Biomedical Signal and Image Processing is unique in providing a comprehensive survey of all the conventional and advanced imaging modalities and the main computational methods used for |
Contents
Chapter 1 Signals and Biomedical Signal Processing | 3 |
Chapter 2 Fourier Transform | 15 |
Chapter 3 Image Filtering Enhancement and Restoration | 41 |
Chapter 4 Edge Detection and Segmentation of Images | 71 |
Chapter 5 Wavelet Transform | 89 |
Chapter 6 Other Signal and Image Processing Methods | 111 |
Chapter 7 Clustering and Classification | 137 |
Section II Processing of Biomedical Signals | 169 |
Chapter 12 Other Biomedical Signals | 257 |
Section III Processing of Biomedical Images | 267 |
Chapter 13 Principles of Computed Tomography | 269 |
Chapter 14 XRay Imaging and Computed Tomography | 283 |
Chapter 15 Magnetic Resonance Imaging | 305 |
Chapter 16 Ultrasound Imaging | 333 |
Chapter 17 Positron Emission Tomography | 365 |
Chapter 18 Other Biomedical Imaging Techniques | 383 |
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Common terms and phrases
action potential algorithm amplitude analysis applications beam biological tissues biomedical image biomedical signal blood brain Butterworth filter calculate chapter cluster coefficients components computed defined depolarization described detectors diagnostics discrete signal discussed disease edge detection EEG signal electrical activities electrodes energy Equation example fMRI Fourier transform frequency domain Gaussian gradient gray level heart highpass filters identify image processing image registration input ions linear lowpass filter magnetic field mask MATLAB measured methods microscopy mother wavelet motor unit nerve neural networks neurons noise original image output perceptron PET imaging photon pixels points problem pulse recording region result sample scans shown in Figure shows signal and image signal processing specific stochastic stochastic process techniques thresholding transducer tumor types typical ultrasound imaging ventricle ventricular wave x-ray x-ray imaging