To evaluate the performance and efficacy for intensity inhomogeneity correction of various sequences of the human brain in 7T MRI using the extended version of the unified segmentation algorithm.
Ten healthy volunteers were scanned with four different sequences (2D spin echo [SE], 3D fast SE, 2D fast spoiled gradient echo, and 3D time-of-flight) by using a 7T MRI system. Intensity inhomogeneity correction was performed using the “New Segment” module in SPM8 with four different values (120, 90, 60, and 30 mm) of full width at half maximum (FWHM) in Gaussian smoothness. The uniformity in signals in the entire white matter was evaluated using the coefficient of variation (CV); mean signal intensities between the subcortical and deep white matter were compared, and contrast between subcortical white matter and gray matter was measured. The length of the lenticulostriate (LSA) was measured on maximum intensity projection (MIP) images in the original and corrected images.
In all sequences, the CV decreased as the FWHM value decreased. The differences of mean signal intensities between subcortical and deep white matter also decreased with smaller FWHM values. The contrast between white and gray matter was maintained at all FWHM values. LSA length was significantly greater in corrected MIP than in the original MIP images.
Intensity inhomogeneity in 7T MRI can be successfully corrected using SPM8 for various scan sequences.
This work was supported by a Grant-in-Aid for the Strategic Medical Science Research Center from the Ministry of Education, Culture, Sports, Science and Technology of Japan and the Japan Society for the Promotion of Science (JSPS) through the “Funding Program for the Next Generation World-Leading Researchers (NEXT Program)” initiated by the Council for Science and Technology Policy (CSTP) and JSPS KAKENHI Grant No. 13281909 (Grant-in-Aid for Young Scientists (B) to UI). The authors declare that they have no conflict of interest.
II.B. 7T MRI
II.C. Intensity inhomogeneity correction using SPM8
II.D. Data analysis
- Medical imaging
- Magnetic resonance imaging
- Medical image contrast
- Three dimensional image processing
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