Biosignal and Medical Image Processing

Published:
January 14, 2004 by CRC Press - 448 Pages
Author(s):
John L. Semmlow, Rutgers University, Piscataway, New Jersey, USA
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ISBN 9780824748036
Cat# DK1299
 

Features

  • Presents each topic with MATLAB examples and associated problems
  • Allows students to solve signal processing challenges using MATLAB
  • Offers a clear discussion of data acquisition techniques including MRI
  • Describes advanced spectral methods including parametric and eigen-analysis methods with MATLAB implementations
  • Includes both time-frequency and wavelet analysis methods
  • Covers advanced filter techniques including Wiener and adaptive filters
  • Details strategies for principal and independent component analysis
  • Discusses issues of importance in medical imaging such as image filtering, image enhancement, spatial transformations, segmentation, registration, backprojection, and the Radon transform

    • Summary

    Relying heavily on MATLAB® problems and examples, as well as simulated data, this text/reference surveys a vast array of signal and image processing tools for biomedical applications, providing a working knowledge of the technologies addressed while showcasing valuable implementation procedures, common pitfalls, and essential application concepts. The first and only textbook to supply a hands-on tutorial in biomedical signal and image processing, it offers a unique and proven approach to signal processing instruction, unlike any other competing source on the topic. The text is accompanied by a CD with support data files and software including all MATLAB examples and figures found in the text.

    Table of Contents

    Introduction. Basic Concepts. Spectral Analysis Classical Methods. Digital Filters. Spectral Analysis: Modern Methods. Time-Frequency Methods. The Wavelet Transform. Advanced Filters. Multivariate Analyses. Fundamentals of Image Processing and the MATLAB. Image Processing Toolbox. Image Processing: Filters, Transformations, and Registration. Image Segmentation. Image Reconstruction.

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