Intensity Inhomogeneity Correction Scheme for 3d-Dimensional Mri Brain Scans using Histogram Matching
DOI:
https://doi.org/10.21015/vtcs.v11i2.435Abstract
There has been an explosive growth in medical imaging industry with rapid development in imaging techniques. Magnetic resonance imaging (MRI) has increasingly been popular as a result of its significant role in examining the ever-changing activity of human brain. The image and resolution produced by MRI is quite detailed and can detect tiny changes of structures within the brain and human body at large. It has become the leading technology for examining the living brain at work. More importantly, it plays an extremely important role in diagnosing patient with Alzheimer’s disease in its early stage. In fact, this will dramatically assist in analyzing the brain scan images and identifying whether if there is any potential risk for developing Alzheimer’s disease. Quantifying the brain for Alzheimer’s patient on regular basis is very important so that to critically analyze and assess the rate at which the disease affect patient brain. However, the quality of the MRI scans can radically change due to environmental and atmospheric changes, and equipment ageing. Subsequently, this has a profound impact on the precision and accuracy of the measurement of the brain. In this paper, we proposes an approach which eliminates the in homogeneity problem anticipated so that 3D brain MRI scans can be efficiently processed and analyzedDownloads
Published
2016-12-20
How to Cite
Baguda, Y. S., Baguda, A. S., & Baguda, U. S. (2016). Intensity Inhomogeneity Correction Scheme for 3d-Dimensional Mri Brain Scans using Histogram Matching. VAWKUM Transactions on Computer Sciences, 4(1), 78–86. https://doi.org/10.21015/vtcs.v11i2.435
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-By) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
This work is licensed under a Creative Commons Attribution License CC BY