Open AccessIterative non-rigid image registration in Brain MRI images
Author(s) -
Nasru Minallah,
Muniba Ashfaq
Publication year - 2021
Publication title -
journal of information communication technologies and robotic applications
Language(s) - English
Resource type - Journals
eISSN - 2523-5737
pISSN - 2523-5729
DOI - 10.51239/jictra.v0i0.228
Subject(s) - image registration , computer vision , artificial intelligence , computer science , image (mathematics) , pixel , demon , iterative method , medical imaging , image processing , algorithm , physics , quantum mechanics
Non-rigid image registration plays a significant role in medical imaging domain. It involves deformations of moving image pixels according to fixed or reference image anatomy. The accurate image registration is required for accurate medical diagnosis and clinical applications. Non-rigid image registration uses optimization technique to find best possible solution. The solution obtained using single run of non-rigid image registration may be optimal but not much accurate. In order to increase accuracy in non-rigid image registration, multiple runs are required to improve the performance. Here in our research methodology, we used Demon algorithm as non-rigid image registration for brain MRI images of patient with tumor. There is significant improvement i.e., average of 66.61% decrease in error of the results of iterative Demon algorithm as compared to non-iterative Demon algorithm.