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Choi, Nam, and Kim: Cortical Thickness Estimation Using DIR Imaging with GRAPPA Factor 2
Original Article
Journal of the Korean Society of Magnetic Resonance in Medicine

Journal of the Korean Society of Magnetic Resonance in Medicine 2010; 14(1): 56-63.

Published online: 30 June 2010

DOI: https://doi.org/10.13104/jksmrm.2010.14.1.56

Cortical Thickness Estimation Using DIR Imaging with GRAPPA Factor 2

Narae Choi1, Yoonho Nam1, Dong-Hyun Kim1, 2

1School of Electrical and Electronic Engineering, Yonsei University, Korea.

2Department of Radiology, Yonsei University, Korea.

Address reprint requests to: Dong-Hyun Kim, Ph.D., School of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Sudaemoon-gu, Seoul 120-749, Korea. Tel. 82-2-2123-5874, Fax. 82-2-313-2879, donghyunkim@yonsei.ac.kr

Received 31 May 2010       Revised 14 June 2010       Accepted 17 June 2010

Copyright © 2010 Korean Society of Magnetic Resonance in Medicine

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.

Keywords: DIR imaging, GRAPPA, Cortical thickness estimation, Volumetry

Figures and Tables

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Table 1
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