Line 13: Line 13:
  
 
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,<math>f(x,y)</math>. There are two proofs that will be demonstrated.
 
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,<math>f(x,y)</math>. There are two proofs that will be demonstrated.
 
+
----
 
=Fourier Slice Theorem=
 
=Fourier Slice Theorem=
  
 
Put your content here . . .
 
Put your content here . . .
 
+
----
 +
=Proof=
  
  

Revision as of 17:45, 18 December 2014

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

Put your content here . . .


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

has a message for current ECE438 students.

Sean Hu, ECE PhD 2009