Correction of Intensity In-Homogeneity of MR Image Based on Average Median Intensity Value Method
R. Rubesh Selvakumar, C G Ravichandran "Correction of Intensity In-Homogeneity of MR Image Based on Average Median Intensity Value Method". International Journal of Computer Trends and Technology (IJCTT) V28(2):107-110, October 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The Magnetic Resonance Image (MRI) may
be valuable techniques for learning the structural
property of the human brain. However, the
reproducibility of imaging results, that arises from
swish intensity variation happens the entirety MR
image, named as Intensity in-homogeneity or nonuniformity.
The intensity in-homogeneity may be a
hurdles encountered in human and computer
interpretations and analysis of MRI. Automated
methods for MRI non-homogeneity correction could
fails as a result of resolution because solution for
them need identification regions on behalf of an
equivalent tissue for a a varietyof various tissue,
regardless of the approach could fails this job.
Normally, MRI brain image contain intensity inhomogeneity.
Therefore accurate process of brain
image may be a terribly trouble some task. Thus will
use one amongst the correction technique
could useful for proper diagnosis for clinical
purpose and conjointly segmentation of the image
process or segmentation primarily based fusion
process. During this paper, we tend to project a
brand new technique on the Average Median
Intensity Value. This algorithm initial to ascertain
the background and foreground voxels then estimate
the intensity value of foreground and replacement all
the values of background voxels by average median
intensity value. This computation time is
quick and best compared with the
prevailing algorithms, analysis primarily based
results is nice for than the source image.
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Keywords
MRI, in-homogeneity, Average Median
Intensity.