Analysis of interpolation effects in the reslicing of functional MR images

被引:40
作者
Ostuni, JL [1 ]
Santha, AKS [1 ]
Mattay, VS [1 ]
Weinberger, DR [1 ]
Levin, RL [1 ]
Frank, JA [1 ]
机构
[1] NIH,CLIN BRAIN DISORDERS BRANCH,BETHESDA,MD 20892
关键词
image registration; magnetic resonance imaging; functional; physics; echo planar imaging;
D O I
10.1097/00004728-199709000-00029
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: Typically, the final step in volume registration is the reslicing of the volume of interest. The purpose of this work is to examine the effects of this reslicing on functional MRI (fMRI) data using different interpolation methods. Method: Functional whale-brain echo planar imaging (EPI) volumes were resliced using six different interpolation methods: trilinear, tricubic splines, and a 3D sine function using a rectangular and a Hanning window, both with half-window lengths of 3 and 4 voxels. Results: Interpolation by tricubic spline and 3D sine using a Hanning window had comparable errors, although tricubic spline interpolation was computationally the fastest. Interpolation by trilinear and 3D sine using a rectangular window had relatively large errors, although the speed of trilinear makes it desirable for some applications. Conclusion: Interpolations using all of the tested methods adversely affected the fMRT data, although these effects differed for each method.
引用
收藏
页码:803 / 810
页数:8
相关论文
共 12 条
[1]   CARDINAL SPLINE FILTERS - STABILITY AND CONVERGENCE TO THE IDEAL SINC INTERPOLATOR [J].
ALDROUBI, A ;
UNSER, M ;
EDEN, M .
SIGNAL PROCESSING, 1992, 28 (02) :127-138
[2]   A REGISTRATION AND INTERPOLATION PROCEDURE FOR SUBVOXEL MATCHING OF SERIALLY ACQUIRED MR-IMAGES [J].
HAJNAL, JV ;
SAEED, N ;
SOAR, EJ ;
OATRIDGE, A ;
YOUNG, IR ;
BYDDER, GM .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1995, 19 (02) :289-296
[3]   SHANNON SAMPLING THEOREM - ITS VARIOUS EXTENSIONS AND APPLICATIONS - TUTORIAL REVIEW [J].
JERRI, AJ .
PROCEEDINGS OF THE IEEE, 1977, 65 (11) :1565-1596
[4]   Whole-brain functional mapping with isotropic MR imaging [J].
Mattay, VS ;
Frank, JA ;
Santha, AKS ;
Pekar, JJ ;
Duyn, JH ;
McLaughlin, AC ;
Weinberger, DR .
RADIOLOGY, 1996, 201 (02) :399-404
[5]  
Oppenheim A. V., 2009, Discrete-Time Signal Processing, V3rd
[6]   Correspondence of closest gradient voxels - A robust registration algorithm [J].
Ostuni, JL ;
Levin, RL ;
Frank, JA ;
DeCarli, C .
JMRI-JOURNAL OF MAGNETIC RESONANCE IMAGING, 1997, 7 (02) :410-415
[7]  
Parker J, 1983, IEEE Trans Med Imaging, V2, P31, DOI 10.1109/TMI.1983.4307610
[8]  
Pratt W.K., 1978, Digital Image Processing
[9]   B-SPLINE SIGNAL-PROCESSING .2. EFFICIENT DESIGN AND APPLICATIONS [J].
UNSER, M ;
ALDROUBI, A ;
EDEN, M .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1993, 41 (02) :834-848
[10]   B-SPLINE SIGNAL-PROCESSING .1. THEORY [J].
UNSER, M ;
ALDROUBI, A ;
EDEN, M .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1993, 41 (02) :821-833