Susceptibility distortion correction for echo planar images with non-uniform B-spline grid sampling: A diffusion tensor image study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6892 LNCS, Issue PART 2, 2011, Pages 174-181

  Irfanoglu, M O ^a   Walker, L ^b   Sammet, S ^a   Pierpaoli, C ^b   Machiraju, R ^a  

^a OHIO STATE UNIVERSITY   (United States)

^b EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

B SPLINES; B-SPLINE; CONTROL POINT; CORRECTION SCHEMES; DEFORMABLE REGISTRATION; DIFFUSION TENSOR IMAGES; DIFFUSION WEIGHTED IMAGES; DISTORTION CORRECTION; ECHO PLANAR IMAGING; FIBER TRACTS; GEOMETRIC DISTORTION; INITIAL SEGMENTATION; LOCAL OPTIMA; PHASE ENCODING; PLANAR IMAGES; SPATIAL DISTORTION;

IMAGE CODING; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING; SHIP PROPELLERS; TENSORS; TISSUE;

SPLINES;

ALGORITHM; ARTICLE; ARTIFACT; BRAIN; BRAIN MAPPING; COMPUTER; DIFFUSION TENSOR IMAGING; ELASTICITY; HUMAN; IMAGE PROCESSING; METHODOLOGY; PATHOLOGY; STATISTICAL MODEL;

ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; COMPUTERS; DIFFUSION TENSOR IMAGING; ELASTICITY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL;

EID: 80053532801     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_22     Document Type: Conference Paper

References (10)

1. Mansfield, P.: Multi-planar image formation using NMR spin echoes. J. Phys. C. 10, 55 (1977)
2. Jezzard, P., Balban, R.: Correction for geometric distortion in echo planar images from b0 field variations. Magnetic Resonance in Medicine 34, 65-73 (1995)
3. Reber, P.J., Wong, E., Buxton, R., Frank, L.R.: Correction of off resonance related distortion in echo-planar imaging using epi-based field maps. Magn. Res. in Med. 39, 328-330 (1998)
4. Kybic, J., Thevenaz, P., Nirkko, A., Unser, M.: Unwarping of unidirectionally distorted EPI images. IEEE Trans. on Medical Imaging 19(2), 80-93 (2000)
5. Ardekani, S., Sinha, U.: Geometric distortion correction of high-resolution 3T diffusion tensor brain images. Magn. Res. in Med. 54, 1163-1171 (2005)
6. Wu, M., Chang, L.C., Walker, L., Lemaitre, H., Barnett, A.S., Marenco, S., Pierpaoli, C.: Comparison of EPI distortion correction methods in diffusion tensor MRI using a novel framework. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 321-329. Springer, Heidelberg (2008)
7. Tao, R., Fletcher, P.T., Gerber, S., Whitaker, R.T.: A variational image-based approach to the correction of susceptibility artifacts in the alignment of diffusion weighted and structural MRI. Inf. Process Med. Imaging 21, 664-675 (2009)
8. Rohde, G., Barnet, A., Basser, P., Marenco, S., Pierpaoli, C.: Comprehensive approach for motion and distortion correction in diffusion weighted MRI. Magnetic Resonance in Medicine 51, 103-114 (2004)
9. Jenkinson, M., Wilson, J.L., Jezzard, P.: Perturbation method for magnetic field calculations of nonconductive objects. Magn. Res. in Med. 52, 471-477 (2004)
10. Poynton, C., Jenkinson, M., Whalen, S., Golby, A.J., Wells, W.: Fieldmap-free retrospective registration and distortion correction for epi-based functional imaging. Med. Image Comput. Comput. Assist Interv. 11, 271-279 (2008)