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- W2418433641 abstract "The research of spatial filtering method for predicting and restoring MRI imageswhich was degraded by motion blur has been done. Some cases referred to the failure ofMRI imaging during cervical-spine scanning process for patient with anatomicalstructure problem of joints. In each case which movement occured, and that resultingdegraded image, the existing solution were retaking the better image and repeatingprocedure. Image restoration process intended to overcome that inefficient scanning.Motion blurring in MR-images were observed based on Point Spread Function (PSF)coefficients produced by object movement during scanning.Performance of the method has been evaluated regarding to the blur size, blurorientation and window size of the kernel. The experiment has been done for twocategories of image, such as original data set from MRI and synthetic image generatedwith software application such as GIMP and MATLAB. Both estimation andrestoration methods performed with convolution appear to be reasonable tolerant to theerror in the PSF. The sharpness and detail of object boundary can be seen visually quitesignificant. Thus, results with line profile and histogram analysis are quite similiar.However, regarding to evaluation of the quality using normalized correlationcoefficients, the proposed method provide only 40% significant correction." @default.
- W2418433641 created "2016-06-24" @default.
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- W2418433641 date "2012-01-01" @default.
- W2418433641 modified "2023-09-27" @default.
- W2418433641 title "SPATIAL FILTERING TECHNIQUEFOR MOTION CORRECTIONOF CERVICAL-SPINE MAGNETIC RESONANCE IMAGES" @default.
- W2418433641 hasPublicationYear "2012" @default.
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