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    Hofstra University
   
 
  Oct 19, 2017
 
 
    
2017-2018 Undergraduate Bulletin
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ENGG 187 - Medical Imaging

Semester Hours: 3
Periodically
Introduction to the fundamental principles of Image Analysis in Biological Sciences and Medical Imaging. Emphasis on analysis techniques useful in scientific research. Topics include impulse response, transfer function, signal-to-noise ratio (SNR), image display, 2-D convolution, 2-D Fourier Transforms, and linear and nonlinear filters. Theory formulations of major medical imaging modalities (X-ray CT, Ultrasonic, MRI, Radionuclide) are derived from basic principles.

Prerequisite(s)/Course Notes:
Knowledge of a programming language (Fortran, C, or C++) and the ability to use existing computer programs (MATLAB) are recommended. ENGG 177  or 166B , MATH 144 , PHYS 012A  or permission of instructor. No liberal arts credit.


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