Revision as of 06:00, 19 December 2014 by Ssanghan (Talk | contribs)

Link title

Fourier Slice Theorem (FST)

A slecture by ECE student Sahil Sanghani

Partly based on the ECE 637 material of Professor Bouman.

Introduction

The Fourier Slice Theorem elucidates how the projections measured by a medical imaging device can be used to reconstruct the object being scanned. From those projections a Continuous Time Fourier Transform (CTFT) is taken. Then according to the theorem, an inverse Continuous Space Fourier Transform (CSFT) can be used to form the original object,$ f(x,y) $. There are two proofs that will be demonstrated.


Fourier Slice Theorem

The Fourier Slice Theorem (FST) states that if
$ \begin{align} P_{\theta}{\rho} &= CTFT \{p_\theta(r)\} \\ F(u,v) &= CSFT\{f(x,y)\} \end{align} $

Then
$ P_{\theta}{\rho} = F(\rho\cos(\theta),\rho\sin(\theta)) \ $


Proof


References:
[1] C. A. Bouman. ECE 637. Class Lecture. Digital Image Processing I. Faculty of Electrical Engineering, Purdue University. Spring 2013.

Back to Honors Contract Main Page

Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn