Cortical Thickness Estimation Using DIR Imaging with GRAPPA Factor 2.
10.13104/jksmrm.2010.14.1.56
- Author:
Narae CHOI
1
;
Yoonho NAM
;
Dong Hyun KIM
Author Information
1. School of Electrical and Electronic Engineering, Yonsei University, Korea. donghyunkim@yonsei.ac.kr
- Publication Type:Original Article
- Keywords:
DIR imaging;
GRAPPA;
Cortical thickness estimation;
Volumetry
- MeSH:
Artifacts;
Brain;
Humans;
Male
- From:Journal of the Korean Society of Magnetic Resonance in Medicine
2010;14(1):56-63
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: DIR image is relatively free from susceptibility artifacts therefore, DIR image can make it possible to reliably measure cortical thickness/volume. One drawback of the DIR acquisition is the long scan time to acquire the fully sampled 3D data set. To solve this problem, we applied a parallel imaging method (GRAPPA) and verify the reliability of using the volumetric study. MATERIALS AND METHODS: Six healthy volunteers (3 males and 3 females; age 25.33+/-2.25 years) underwent MRI using the 3D DIR sequence at a 3.0T Siemens Tim Trio MRI scanner. GRAPPA simulation was performed from the fully sampled data set for reduction factor 2. Data reconstruction was performed using MATLAB R2009b. Freesurfer v.4.3.0 was used to evaluate the cortical thickness of the entire brain, and to extract white matter information from the DIR image, Analyze 9.0 was used. The global cortical thickness estimated from the reconstructed image was compared with reference image by using a T-test in SPSS. RESULTS: Although reduced SNR and blurring are observed from the reconstructed image, in terms of segmentation the effect was not so significant. The volumetric result was validated that there were no significant differences in many cortical regions. CONCLUSION: This study was performed with DIR image for a volumetric MRI study. To solve the long scan time of 3D DIR imaging, we applied GRAPPA algorithm. According to the results, fast imaging can be done with reduction factor 2 with little loss of image quality at 3.0T.
