Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true-tract specific index to characterize white matter diffusion

Human Brain Mapping

Volumn 34, Issue 10, 2013, Pages 2464-2483

  Dell'Acqua, Flavio ^a   Simmons, Andrew ^a   Williams, Steven C R ^a   Catani, Marco ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Crossing fibers; Diffusion imaging; Hindrance modulated orientational anisotropy; NuFO; Spherical deconvolution; Tractography

Indexed keywords

ANISOTROPY; ARTICLE; BRAIN DEVELOPMENT; BRAIN DISEASE; DIFFUSION; DIFFUSION WEIGHTED IMAGING; DISPERSION; HINDRANCE MODULATED ORIENTATIONAL ANISOTROPY; HUMAN; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MYELINATION; NERVE FIBER; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; ORIENTATION; PRIORITY JOURNAL; SIMULATION; TRACTOGRAPHY; WHITE MATTER;

CROSSING FIBERS; DIFFUSION IMAGING; HINDRANCE MODULATED ORIENTATIONAL ANISOTROPY; NUFO; SPHERICAL DECONVOLUTION; TRACTOGRAPHY;

ALGORITHMS; ANISOTROPY; AXONS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; CORPUS CALLOSUM; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; NERVE FIBERS, MYELINATED; NEURAL PATHWAYS; ORGAN SIZE;

EID: 84880324778     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22080     Document Type: Article

References (47)

1. Aboitiz F, Lòpez J, Montiel J (2003): Long distance communication in the human brain: Timing constraints for inter-hemispheric synchrony and the origin of brain lateralization. Biol Res 36:89-99.
2. Alexander DC (2005): Maximum entropy spherical deconvolution for diffusion MRI. Image Process Med Imaging 19:76-87.
3. Alexander DC, Hubbard PL, Hall MG, Moore EA, Ptito M, Parker GJM, Dyrby TB (2010): Orientationally invariant indices of axon diameter and density from diffusion MRI. NeuroImage 52:1374-1389.
4. Anderson AW (2005): Measurement of fiber orientation distributions using high angular resolution diffusion imaging. Magn Reson Med 54:1194-1206.
5. Assaf Y, Basser PJ (2005): Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain. NeuroImage 27:48-58.
6. Assaf Y, Freidlin RZ, Rohde GK, Basser PJ (2004): New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter. Magn Reson Med 52:965-978.
7. Assaf Y, Blumenfeld-Katzir T, Yovel Y, Basser PJ (2008): AxCaliber: A method for measuring axon diameter distribution from diffusion MRI. Magn Reson Med 59:1347-1354.
8. Barazany D, Basser PJ, Assaf Y (2009): In vivo measurement of axon diameter distribution in the corpus callosum of rat brain. Brain 132 ( Part 5):1210-1220.
9. Basser PJ, Mattiello J, LeBihan D (1994): Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson B 103:247-254.
10. Basser PJ, Pajevic S, Pierpaoli C, Duda J, Aldroubi A (2000): In vivo fiber tractography using DT-MRI data. Magn Reson Med 44:625-632.
11. Beaulieu C (2002): The basis of anisotropic water diffusion in the nervous system-A technical review. NMR Biomed 15:435-455.
12. Behrens TE, Berg HJ, Jbabdi S, Rushworth MF, Woolrich MW (2007): Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?NeuroImage 34:144-155.
13. Berman JI, Chung S, Mukherjee P, Hess CP, Han ET, Henry RG (2008): Probabilistic streamline q-ball tractography using the residual bootstrap. NeuroImage 39:215-222.
14. Cook PA, Symms M, Boulby PA, Alexander DC (2007): Optimal acquisition orders of diffusion-weighted MRI measurements. J Magn Reson Imaging 25:1051-1058.
15. Dell'Acqua F, Rizzo G, Scifo P, Clarke RA, Scotti G, Fazio F (2007): A model-based deconvolution approach to solve fiber crossing in diffusion-weighted MR imaging. IEEE Trans Biomed Eng 54:462-472.
16. Dell'Acqua F, Scifo P, Catani M, Scotti G, Fazio F (2008): Combining spherical deconvolution with streamline tractography: Preliminary results. In: Proceedings 16th Scientific Meeting, International Society of Magnetic Resonance in Medicine, Toronto, Canada.
17. Dell'Acqua F, Coward J, Simmons A, Murphy D, Williams S, Catani M (2009): Mapping crossing fibres of the human brain with spherical deconvolution: Towards an atlas for clinico-anatomical correlation studies. In: Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu, USA.
18. Dell'Acqua F, Scifo P, Rizzo G, Catani M, Simmons A, Scotti G, Fazio F (2010): A modified damped Richardson-Lucy algorithm to reduce isotropic background effects in spherical deconvolution. NeuroImage 49:1446-1458.
19. 2 information from steady-state imaging data. Magn Reson Med 60:1372-1387.
20. Dubois J, Dehaene-Lambertz G, Perrin M, Mangin J, Cointepas Y, Duchesnay E, Le Bihan D, Hertz-Pannier L (2008): Asynchrony of the early maturation of white matter bundles in healthy infants: Quantitative landmarks revealed noninvasively by diffusion tensor imaging. Hum Brain Mapp 29:14-27.
21. Grebenkov D (2007): Multiple correlation function approach: Rigorous results for simple geometries. Diff Fundam 5:1-34.
22. Hsu EW, Mori S (1995): Analytical expressions for the NMR apparent diffusion coefficients in an anisotropic system and a simplified method for determining fiber orientation. Magn Reson Med 34:194-200.
23. Jeurissen B, Leemans A, Jones DK, Tournier J-D, Sijbers J (2010a): Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution. Hum Brain Mapp 32:461-479.
24. Jeurissen B, Leemans A, Jones DK, Tournier JD, Sijbers J (2010b): Estimating the number of fiber orientations in diffusion MRI voxels: A constrained spherical deconvolution study. In: Proceedings 18th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Stockholm, Sweden.
25. Jian B, Vemuri BC (2007): A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI. IEEE Trans Med Imaging 26:1464-1471.
26. Jones DK (2008): Studying connections in the living human brain with diffusion MRI. Cortex 44:936-952.
27. Kaden E, Anwander A, Knösche TR (2008): Variational inference of the fiber orientation density using diffusion MR imaging. NeuroImage 42:1366-1380.
28. Leemans A, Jeurissen B, Sijbers J, Jones DK (2009): ExploreDTI: A graphical toolbox for processing, analyzing, and visualizing diffusion MR data. In: Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Hawaii, USA.
29. Nedjati-Gilani S, Parker GJ, Alexander DC (2006): Mapping the number of fibre orientations per voxel in diffusion MRI. In: Proceedings 14th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Seattle, WA, USA.
30. Pannek K, Mathias JL, Bigler ED, Brown G, Taylor JD, Rose S (2010): An automated strategy for the delineation and parcellation of commissural pathways suitable for clinical populations utilising high angular resolution diffusion imaging tractography. NeuroImage 50:1044-1053.
31. Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G (1996): Diffusion tensor MR imaging of the human brain. Radiology 201:637-648.
32. Raffelt D, Tournier JD, Rose S, Ridgway GR, Henderson R, Crozier S, Salvado O, Connelly A: Apparent fibre density: A novel measure for the analysis of diffusion-weighted magnetic resonance images. NeuroImage, doi:10.1016/j.neuroimage.2011.10.045.
33. Sakaie KE, Lowe MJ (2007): An objective method for regularization of fiber orientation distributions derived from diffusion-weighted MRI. NeuroImage 34:169-176.
34. Simmons A, Moore E, Williams SC (1999): Quality control for functional magnetic resonance imaging using automated data analysis and Shewhart charting. Magn Reson Med 41:1274-1278.
35. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TE, Johansen-Berg H, Bannister PR, De Luca M, Drobnjak I, Flitney DE, Niazy RK, Saunders J, Vickers J, Zhang Y, De Stefano N, Brady JM, andMatthews PM. (2004): Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23 ( Suppl 1):S208-S219.
36. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM, Behrens TE (2006): Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage 31:1487-1505.
37. Tournier JD, Calamante F, Gadian DG, Connelly A (2004): Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage 23:1176-1185.
38. Tournier JD, Calamante F, Connelly A (2007): Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution. NeuroImage 35:1459-1472.
39. Tuch DS (2004): Q-ball imaging. Magn Reson Med 52:1358-1372.
40. van Gelderen P, DesPres D, van Zijl PC, Moonen CT (1994): Evaluation of restricted diffusion in cylinders. Phosphocreatine in rabbit leg muscle. J Magn Reson B 103:255-260.
41. Wang R, Benner T, Sorensen AG, Wedeen VJ (2007): Diffusion toolkit: A software package for diffusion imaging data processing and tractography. In: Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Berlin, Germany.
42. Waxman SG, Kocsis JD, Stys PK, editors (1995):The axon, structure, function and pathophysiology.Oxford University Press, New York, USA.
43. Wedeen VJ, Hagmann P, Tseng WY, Reese TG, Weisskoff RM (2005): Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magn Reson Med 54:1377-1386.
44. Wedeen VJ, Wang R, Schmahmann J, Benner T (2008): Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers. NeuroImage 41:1267-1277.
45. Wheeler-Kingshott C, Cercignani M (2009): About "axial" and "radial" diffusivities. Magn Reson Med 61:1255-1260.
46. Wiegell MR, Larsson HB, Wedeen VJ (2000): Fiber crossing in human brain depicted with diffusion tensor MR imaging. Radiology 217:897-903.
47. Wu Y-C, Alexander AL (2007): Hybrid diffusion imaging. NeuroImage 36:617-629.