Medical Image Registration using Feature Extraction Method
| Research Area: | Volume 3,Issue 4, July 2014 | Year: | 2014 |
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| Type of Publication: | Article | Keywords: | MRI Scan, CT Scan, Registered Image, Mean, Standard Deviation |
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| Journal: | IJEIR | Volume: | 3 |
| Number: | 4 | Pages: | 503-506 |
| Month: | July | ||
| Abstract: | Image registration is process of combining different sets of data of the same object, which come from different image modalities; for example, CT, MRI, SPECT, PET and so on. This paper describes the effect of image registration on both MRI and CT scan medical image of human brain collected from University College Hospital Ibadan, Oyo state, Nigeria. The images of both scans were Dilated, Filtered, Blurred, Edged Correlated and Decomposed before it was registered. The result shows that CT scan has the highest intensity, followed by MRI scan while the registered image has the lowest intensity due to its low contrast. The Mean for the images were calculated and standard deviation for CT, MRI and registered image are 87.9199, 90.7229 and 109.8826 respectively. This shows that data points for the unregistered images are very close to the mean while the data points for the registered image spread over a large range of value. |
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