A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis

A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis

Short T1 Inversion Recovery (STIR) is a fat suppressed technique commonly used in Magnetic Resonance Imaging (MRI) to suppress fat signals from tissues. The technique is to improve visual inspection during diagnosis. Suspected fluids will appear bright in STIR to identify the abnormality. Due to har...

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Published in:Procedia Computer Science
Main Author: Meng B.C.C.; Ngah U.K.; Khoo B.E.; Shuaib I.L.; Aziz M.E.
Format: Conference paper
Language:English
Published: Elsevier B.V. 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941089801&doi=10.1016%2fj.procs.2015.08.243&partnerID=40&md5=5c74bb95cae2e25697cc57074e32cca4
id 2-s2.0-84941089801
spelling 2-s2.0-84941089801
Meng B.C.C.; Ngah U.K.; Khoo B.E.; Shuaib I.L.; Aziz M.E.
A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
2015
Procedia Computer Science
60
1
10.1016/j.procs.2015.08.243
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941089801&doi=10.1016%2fj.procs.2015.08.243&partnerID=40&md5=5c74bb95cae2e25697cc57074e32cca4
Short T1 Inversion Recovery (STIR) is a fat suppressed technique commonly used in Magnetic Resonance Imaging (MRI) to suppress fat signals from tissues. The technique is to improve visual inspection during diagnosis. Suspected fluids will appear bright in STIR to identify the abnormality. Due to hardware limitation, tissue contrast and signal-to-noise ratio are reduced. We propose a framework of image fusion system which mimics the MRI machine to produce a fused 'STIR' image. The resultant fused 'STIR' image has high similarity index (0.989971), small mean square error (0.1092), high peak signal-to-noise ratio (106.9173) and good Pearson correlation coefficient (0.696). © 2015 The Authors. Published by Elsevier B.V.
Elsevier B.V.
18770509
English
Conference paper
All Open Access; Gold Open Access
author Meng B.C.C.; Ngah U.K.; Khoo B.E.; Shuaib I.L.; Aziz M.E.
spellingShingle Meng B.C.C.; Ngah U.K.; Khoo B.E.; Shuaib I.L.; Aziz M.E.
A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
author_facet Meng B.C.C.; Ngah U.K.; Khoo B.E.; Shuaib I.L.; Aziz M.E.
author_sort Meng B.C.C.; Ngah U.K.; Khoo B.E.; Shuaib I.L.; Aziz M.E.
title A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
title_short A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
title_full A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
title_fullStr A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
title_full_unstemmed A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
title_sort A framework of MRI fat suppressed imaging fusion system for femur abnormality analysis
publishDate 2015
container_title Procedia Computer Science
container_volume 60
container_issue 1
doi_str_mv 10.1016/j.procs.2015.08.243
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941089801&doi=10.1016%2fj.procs.2015.08.243&partnerID=40&md5=5c74bb95cae2e25697cc57074e32cca4
description Short T1 Inversion Recovery (STIR) is a fat suppressed technique commonly used in Magnetic Resonance Imaging (MRI) to suppress fat signals from tissues. The technique is to improve visual inspection during diagnosis. Suspected fluids will appear bright in STIR to identify the abnormality. Due to hardware limitation, tissue contrast and signal-to-noise ratio are reduced. We propose a framework of image fusion system which mimics the MRI machine to produce a fused 'STIR' image. The resultant fused 'STIR' image has high similarity index (0.989971), small mean square error (0.1092), high peak signal-to-noise ratio (106.9173) and good Pearson correlation coefficient (0.696). © 2015 The Authors. Published by Elsevier B.V.
publisher Elsevier B.V.
issn 18770509
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
_version_ 1809677911340351488

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