Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions

Medical Image Analysis

Volumn 16, Issue 7, 2012, Pages 1465-1476

  Scherrer, Benoit ^a   Gholipour, Ali ^a   Warfield, Simon K ^a  

^a BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

Diffusion weighted MRI; Orthogonal acquisitions; Super resolution reconstruction

Indexed keywords

ACQUISITION MODELS; CLINICAL APPLICATION; DIFFERENT PLANES; DIFFUSION WEIGHTED IMAGES; DIFFUSION WEIGHTED IMAGING; DIFFUSION-WEIGHTED MRI; DISTORTION COMPENSATION; DURATION TIME; ECHO TIME; FIELD INHOMOGENEITY; GEOMETRIC DISTORTION; GRADIENT ECHO; HIGH RESOLUTION IMAGE; MAGNETIC SUSCEPTIBILITY DIFFERENCES; MAXIMUM A POSTERIORI; OPTIMIZATION PROCEDURES; PATIENT MOTIONS; PHASE-ENCODING; Q-SPACE; RELAXATION EFFECT; RESOLUTION ENHANCEMENT; SINGLE SHOTS; SINGLE-SHOT; SPATIAL HOMOGENEITY; SPATIAL RESOLUTION; SUPER-RESOLUTION RECONSTRUCTION; WHITE MATTER;

ANISOTROPY; IMAGE RESOLUTION; MAGNETIC SUSCEPTIBILITY;

DIFFUSION;

ANISOTROPY; ARTICLE; COMPENSATION; DIFFUSION WEIGHTED IMAGING; HUMAN; MAGNETISM; MODEL; MOTION; NEUROSCIENCE; PRIORITY JOURNAL; SIMULATION;

ALGORITHMS; ANISOTROPY; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84866444865     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2012.05.003     Document Type: Article

References (25)

1. Calamante F., Tournier J.D., Jackson G.D., Connelly A. Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping. NeuroImage 2010, 53:1233-1243.
2. Chung S., Lu Y., Henry R.G. Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters. NeuroImage 2006, 33:531-541.
3. Cusack R., Brett M., Osswald K. An evaluation of the use of magnetic field maps to undistort echo-planar images. NeuroImage 2003, 18:127-142.
4. Dietrich O., Raya J.G., Reeder S.B., Ingrisch M., Reiser M.F., Schoenberg S.O. Influence of multichannel combination, parallel imaging and other reconstruction techniques on MRI noise characteristics. Magn. Reson. Imag. 2008, 26:754-762.
5. Douek P., Turner R., Pekar J., Patronas N., Le Bihan D. MR color mapping of myelin fiber orientation. J. Comput. Assist. Tomogr. 1991, 15:923-929.
6. Gholipour A., Estroff J.A., Warfield S.K. Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI. IEEE Trans. Med. Imag. 2010, 29:1739-1758.
7. Gholipour A., Kehtarnavaz N., Scherrer B., Warfield S.K. On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance echo-planar images. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2011, 2011:6997-7000.
8. Greenspan H. MRI inter-slice reconstruction using super-resolution. Magn. Reson. Imag. 2002, 20:437-446.
9. Greenspan H. Super-resolution in medical imaging. Comput. J. 2009, 52:43-63.
10. Irani M., Peleg S. Motion analysis for image enhancement: resolution, occlusion, and transparency. J. Vis. Com. Image Rep. 1993, 4:324-335.
11. Irfanoglu M.O., Walker L., Sammet S., Pierpaoli C., Machiraju R. Susceptibility distortion correction for echo planar images with non-uniform B-spline grid sampling: a diffusion tensor image study. Med. Image Comput. Comput. Assist. Interv. 2011, 14:174-181.
12. Jezzard P., Balaban R.S. Correction for geometric distortion in echo planar images from B0 field variations. Magn. Reson. Med. 1995, 34:65-73.
13. Jiang S., Xue H., Counsell S., Anjari M., Allsop J., Rutherford M., Rueckert D., Hajnal J.V. Diffusion tensor imaging (DTI) of the brain in moving subjects: application to in-utero fetal and ex-utero studies. Magn. Reson. Med. 2009, 62:645-655.
14. Jiang S., Xue H., Glover A., Rutherford M., Rueckert D., Hajnal J. Mri of moving subjects using multislice snapshot images with volume reconstruction (svr): application to fetal, neonatal, and adult brain studies. IEEE Trans. Med. Imag. 2007, 26:967-980.
15. Kimmlingen, R. et al., 2004. An easy to exchange high performance head gradient insert for a 3T whole body MRI system: first results. In: ISMRM.
16. Le Bihan D. Molecular diffusion nuclear magnetic resonance imaging. Magn. Reson. Q. 1991, 7:1-30.
17. Lustig M., Donoho D., Pauly J.M. Sparse mri: the application of compressed sensing for rapid mr imaging. Magn. Reson. Med. 2007, 58:1182-1195.
18. Matheron G. Principles of geostatistics. Econ. Geol. 1963, 58:1246-1266.
19. Mori S., van Zijl P.C. Fiber tracking: principles and strategies - a technical review. NMR Biomed. 2002, 15:468-480.
20. Noll D., Boada F., Eddy W. A spectral approach to analyzing slice selection in planar imaging: optimization for through-plane interpolation. Magn. Reson. Med. 1997, 38:151-160.
21. Peled S., Yeshurun Y. Superresolution in MRI: application to human white matter fiber tract visualization by diffusion tensor imaging. Magn. Reson. Med. 2001, 45:29-35.
22. Qin W., Yu C.S., Zhang F., Du X.Y., Jiang H., Yan Y.X., Li K.C. Effects of echo time on diffusion quantification of brain white matter at 1.5T and 3.0T. Magn. Reson. Med. 2009, 61:755-760.
23. Scherrer, B., Gholipour, A., Warfield, S.K., 2011. Super-resolution in diffusion-weighted imaging. In: Proceedings of the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 124-132.
24. Stejskal E.O., Tanner J.E. Spin diffusion measurements: Spin echoes in the presence of a time-dependent field gradient. J. Chem. Phys. 1965, 42:288-292.
25. Tristán-Vega A., Aja-Fernández S. DWI filtering using joint information for DTI and HARDI. Med. Image Anal. 2010, 14:205-218.