MR Image Reconstruction using 2D Autoregressive Moving Average

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Technique Raw Data Simulation Simulation results Thesis Chapters Galerry Techniques Parametric Technique : Direct FFT Reconstruction Non Parametric Technique : 2D ARMA Solved using Transient error reconstruction approach 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 ( 2D IFFT ) E. Reconstruct using 2D ARMA ( TERA ) Previous Simulation Results 1. Without phase shift , compare using IMSHOW and IMAGE 2. WIth phase shift, zero filling , without windowing Results Click to view bigger picture Name Viewable Raw Data FFT Reconstruction Standard Image (Philips Gyroscan Interra 1.5T) Bottle Phantom Displayed using commnad Image Head Displayed using commnad Image Displayed using commnad imshow Displayed using commnad Image Displayed using commnad imshow Thesis Draft Following chapters are proposed for thesis draft Chapter 1 : Introduction Chapter 2 : MR Imaging Principal Chapter 3 : Review of MRI Reconstruction technique Chapter 4 : Proposed 2D ARMA technique Chapter 5 : Image Data Analysis Chapter 6 : Simulation and Results Chapter 7 : Conclusion and Recommendation Galerry Last updated : 13/1/2006