Comparision of MRI Reconstruction using Parametric and Non Parametric Technics

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Techniques
Parametric Technique : Direct FFT Reconstruction
Non Parametric Technique : 2D ARMA

Raw Data
Raw Data Detail ( .LIST file ) are here
Organization of RAW DATA on Philips Gyroscan 1.5T
Scanning Parameters are here

Simulation
Generally, simulation is algorithm application . Done on Matlab 7.0
The simulation/alogrithm is divided into following phases

A. Write a 'converter' or a 'reader' which read the DATA file based on

description in LIST File

B. Rearrange the data in (A) into Matlab Matrix Format

C. Plot the RAW DATA ( Viewable Raw Data is shown above )

D. Reconstruct using DFT

E. Reconstruct using 2D ARMA
Results

1. Viewable Raw Data Click to view bigger picture

2. FFT2 Reconstruction Click to view bigger picture The Matlab Code : im=fft2(C); Coment : Reconstruction is incomplete. Algorithm need to be refined 2. 2nd improvement Click to view bigger picture The Matlab Code : im=fft(fft(C).').' ; im=fftshift(im,1); Coment : 2. 3rd improvement Click to view bigger picture The Matlab Code : using imshow to display the image instead of image Coment :

3. Comparing Image (Mr. Bottle) Click to view bigger picture Downloaded from MRI Scanner ( Philips Gyroscan 1.5 T ) Its a Bottle

Thesis Draft
Following chapters are proposed for thesis draft
Chapter 1 : Introduction
Chapter 2 : MRI Imaging Technique: Non-Parametric Technique : 2D FFT
Chapter 3 : MRI Imaging Technique: Parametric Technique: 2D Arma
Chapter 3 : MRI Imaging Issues
Chapter 4 : Organization of Raw Data in Philips MRI Scanners
Chapter 5 : Procedures of Downloading Raw Data
Chapter 6 : Reconstructing using Non Parametric and Parametric Technique
Chapter 7 : Performance Analysis of Reconstruction Technique
Chapter 8 : Conclusion and Recomendation

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Last updated : 13/1/2006