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

• 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
• ISSN: 18770509
• DOI: 10.1016/j.procs.2015.08.243

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.