Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method

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...

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Main Authors:	Najeeb, Athaur Rahman, Salami, Momoh Jimoh Eyiomika, Aibinu, Abiodun Musa, Shafie, Amir Akramin
Format:	Article
Language:	English
Published:	World Academy of Science, Engineering and Technology (WASET) 2008
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/57687/ http://irep.iium.edu.my/57687/ http://irep.iium.edu.my/57687/1/57687_Optimal%20model%20order%20selection%20for%20transient.pdf

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spelling	iium-576872017-09-28T07:00:36Z http://irep.iium.edu.my/57687/ Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method Najeeb, Athaur Rahman Salami, Momoh Jimoh Eyiomika Aibinu, Abiodun Musa Shafie, Amir Akramin T10.5 Communication of technical information 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 World Academy of Science, Engineering and Technology (WASET) 2008-08-31 Article PeerReviewed application/pdf en http://irep.iium.edu.my/57687/1/57687_Optimal%20model%20order%20selection%20for%20transient.pdf Najeeb, Athaur Rahman and Salami, Momoh Jimoh Eyiomika and Aibinu, Abiodun Musa and Shafie, Amir Akramin (2008) Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 2 (6). pp. 1834-1838. ISSN 2070-3740 http://waset.org/publications/10711/optimal-model-order-selection-for-transient-error-autoregressive-moving-average-tera-mri-reconstruction-method
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Najeeb, Athaur Rahman Salami, Momoh Jimoh Eyiomika Aibinu, Abiodun Musa Shafie, Amir Akramin Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method
description	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
format	Article
author	Najeeb, Athaur Rahman Salami, Momoh Jimoh Eyiomika Aibinu, Abiodun Musa Shafie, Amir Akramin
author_facet	Najeeb, Athaur Rahman Salami, Momoh Jimoh Eyiomika Aibinu, Abiodun Musa Shafie, Amir Akramin
author_sort	Najeeb, Athaur Rahman
title	Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method
title_short	Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method
title_full	Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method
title_fullStr	Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method
title_full_unstemmed	Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method
title_sort	optimal model order selection for transient error autoregressive moving average (tera) mri reconstruction method
publisher	World Academy of Science, Engineering and Technology (WASET)
publishDate	2008
url	http://irep.iium.edu.my/57687/ http://irep.iium.edu.my/57687/ http://irep.iium.edu.my/57687/1/57687_Optimal%20model%20order%20selection%20for%20transient.pdf
first_indexed	2023-09-18T21:21:34Z
last_indexed	2023-09-18T21:21:34Z
_version_	1777411916322308096

Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method

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