Aibinu, Abiodun Musa and Najeeb, Athaur Rahman and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin
(2008)
Optimal model order selection for Transient Error
Autoregressive Moving Average (TERA) MRI
reconstruction method.
In: International Conference on Medical system Engineering (ICMSE).
Abstract
An alternative approach to the use of Discrete Fourier
Transform (DFT) for Magnetic Resonance Imaging (MRI) reconstruction
is the use of parametric modeling technique. This method
is suitable for problems in which the image can be modeled by
explicit known source functions with a few adjustable parameters.
Despite the success reported in the use of modeling technique as an
alternative MRI reconstruction technique, two important problems
constitutes challenges to the applicability of this method, these are
estimation of Model order and model coefficient determination. In
this paper, five of the suggested method of evaluating the model
order have been evaluated, these are: The Final Prediction Error
(FPE), Akaike Information Criterion (AIC), Residual Variance (RV),
Minimum Description Length (MDL) and Hannan and Quinn (HNQ)
criterion. These criteria were evaluated on MRI data sets based on the
method of Transient Error Reconstruction Algorithm (TERA). The
result for each criterion is compared to result obtained by the use of a
fixed order technique and three measures of similarity were evaluated.
Result obtained shows that the use of MDL gives the highest measure
of similarity to that use by a fixed order technique.
Actions (login required)
 |
View Item |
![[img]](http://irep.iium.edu.my/style/images/fileicons/application_pdf.png)
Download Statistics
Download Statistics