Analysis of the pyramidal tract in tumor patients using diffusion tensor imaging

NeuroImage

Volumn 50, Issue 1, 2010, Pages 27-39

  Cárdenes, Rubén ^a   Muñoz Moreno, Emma ^a   Sarabia Herrero, Rosario ^b   Rodríguez Velasco, Margarita ^b   Fuertes Alija, Juan José ^b   Martin Fernandez, Marcos ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

^b HOSPITAL CLÍNICO UNIVERSITARIO DE VALLADOLID   (Spain)

Author keywords

Brain tumor; DTI; DTI quantification; DTMRI; Fiber tracking; Pyramidal tract; Tractography

Indexed keywords

ADULT; AGED; ARTICLE; BRAIN TUMOR; CLINICAL ARTICLE; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; HEMISPHERE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; INTERMETHOD COMPARISON; METHODOLOGY; NERVE FIBER DEGENERATION; NEUROSURGERY; NUCLEAR MAGNETIC RESONANCE IMAGING; POSTOPERATIVE PERIOD; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; PYRAMIDAL TRACT; PYRAMIDAL TRACT TUMOR; QUANTITATIVE ANALYSIS; REPRODUCIBILITY;

ADULT; AGED; ALGORITHMS; AUTOMATION; BRAIN MAPPING; BRAIN NEOPLASMS; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; HUMANS; MIDDLE AGED; MODELS, NEUROLOGICAL; PYRAMIDAL TRACTS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 75249100336     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.12.032     Document Type: Article

References (46)

1. Alexander D., Pierpaoli C., Basser P., and Gee J. Spatial transformations of diffusion tensor magnetic resonance images. IEEE Trans. Med. Imaging 20 11 (2001) 1131-1139 Nov
2. Audoin B., Guye M., Reuter F., Duong M.-V.A., Confort-Gouny S., Malikova I., Soulier E., Viout P., ChÈrif A.A., Cozzone P.J., Pelletier J., and Ranjeva J.-P. Structure of WM bundles constituting the working memory system in early multiple sclerosis: a quantitative DTI tractography study. NeuroImage 36 (2007) 1324-1330
3. Basser P.J., Pajevic S., Pierpaoli C., Duda J., and Aldroubi A. In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44 (2000) 625-632
4. Beaulieu C. The basis of anisotropic water diffusion in the nervous system-a technical review. NMR Biomed. 15 (2002) 435-455
5. Callaghan P.T., MacGowan D., Packer K.J., and Zelaya F.O. High resolution Q-space imaging in porous structures. J. Magn. Reson. 90 (1990) 177-182
6. Cardenes R., Argibay-Quiñones D., Muñoz-Moreno E., and Martin-Fernandez M. Characterization of anatomic fiber bundles for diffusion tensor image analysis. Medical Image Computing and Computer-Assisted Intervention (MICCAI) (2009), Springer-Verlag, London, UK 903-910
7. Collins D.L., and Evans A.C. Animal: validation and applications of nonlinear registration-based segmentation. Int. J. Pattern Recogn. Artif. Intell. 11 8 (1997) 1271-1294
8. Correia S., Lee S.Y., Voorn T., Tate D.F., Paul R.H., Zhang S., Salloway S.P., Malloy P.F., and Laidlaw D.H. Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI. NeuroImage 42 (2008) 568-581
9. Diehl B., Busch R.M., Duncan J.S., Piao Z., Tkach J., and Luders H.O. Abnormalities in diffusion tensor imaging of the uncinate fasciculus relate to reduced memory in temporal lobe epilepsy. Epilepsia 49 8 (2008) 1409-1418
10. Gossl C., Fahrmeir L., Putz B., Auer L.M., and Auer D.P. Fiber tracking from dti using linear state space models: detectability of the pyramidal tract. NeuroImage 16 (2002) 378-388
11. Gulani V., Webb A.G., Duncan I.D., and Lauterbur P.C. Apparent diffusion tensor measurements in myelin-deficient rat spinal cords. Magn. Reson. Med. 45 (2001) 191-195
12. Hagler D.J.J., Ahmadi M.E., Kuperman J., Holland D., McDonald C.R., Halgren E., and Dale A.M. Automated white matter tractography using a probabilistic diffusion tensor atlas: application to temporal lobe epilepsy. Hum. Brain Mapp. 30 5 (2009) 1535-1547
13. Hagmann P., Thiran J.-P., Jonasson L., Vandergheynst P., Clarke S., Maeder P., and Meulib R. DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection. NeuroImage 19 (2003) 545-554
14. Hua K., Zhang J., Wakana S., Jiang H., Li X., Reich D.S., Calabresi P.A., Pekar J.J., va Zijl P.C.M., and Mori S. Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. NeuroImage 39 (2008) 336-347
15. Inoue T., Ogasawara K., Beppu T., Ogawa A., and Kabasawa H. Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas. Clin. Neurol. Neurosurg. 107 (2005) 174-180
16. Jiang H., van Zijl P.C.M., Kim J., Pearlson G.D., and Mori S. DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Comp. Methods Prog. Biomed. 81 (2006) 106-116
17. Kinoshita M., Hashimoto N., Goto T., Kagawa N., Kishima H., Izumoto S., Tanaka H., Fujita N., and Yoshimine T. Fractional anisotropy and tumor cell density of the tumor core show positive correlation in diffusion tensor magnetic resonance imaging of malignant brain tumors. NeuroImage 43 (2008) 29-35
18. Kubicki M., Park H., Westin C.F., Nestor P.G., Mulkern R.V., Maier S.E., Niznikiewicz M., Connor E.E., Levitt J.J., Frumin M., Kikinis R., Jolesz F.A., McCarley R.W., and Shenton M.E. DTI and MTR abnormalities in schizophrenia: analysis of white matter integrity. NeuroImage 26 (2005) 1109-1118
19. Lawes I.N.C., Barrick T.R., Murugam V., Spierings N., Evans D.R., Song M., and Clark C.A. Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection. NeuroImage 39 (2008) 62-79
20. McDonald C.R., Ahmadi M.E., Hagler D.J., Tecoma E.S., Iragui V.J., Gharapetian L., Dale A.M., and Halgren E. Diffusion tensor imaging correlates of memory and language impairments in temporal lobe epilepsy. Neurology 71 (2008) 1869-1876
21. Mori S., Crain B.J., Chacko V.P., and van Zijl P.C. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann. Neurol. 45 (1999) 265-269
22. Mori S., Kaufmann W.E., Pearlson G.D., Crain B.J., Stieltjes B., Solaiyappan M., and van Zijl P.C. In vivo visualization of human neural pathway by magnetic resonance imaging. Ann. Neurol. 47 3 (2000) 412-414
23. Mori S., Wakana S., Nagae-Poetscher L., and van Zijl P.C.M. MRI Atlas of Human Whitte Matter (2005), Elsevier
24. Muñoz-Moreno E., and Martin-Fernandez M. Characterization of the similarity between diffusion tensors for image registration. Comput. Biol. Med. 39 3 (2009) 251-265
25. O'Donnell L., Haker S., and Westin C.F. New approaches to estimation of white matter connectivity in diffusion tensor MRI: Elliptic PDEs and geodesics in a tensor-warped space. Medical Image Computing and Computer-Assisted Intervention (MICCAI) (2002), Springer-Verlag, Tokyo, Japan 459-466 September
26. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Syst., Man Cybern. 9 1 (1979) 62-66 Jan
27. Pagani E., Filippi M., Rocca M.A., and Horsfield M.A. A method for obtaining tract-specific diffusion tensor MRI measurements in the presence of disease: application to patients with clinically isolated syndromes suggestive of multiple sclerosis. NeuroImage 26 (2005) 258-265
28. Parker G.J.M., Wheeler-Kingshott C.A.M., and Barker G.J. Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging. Trans. Med. Imaging 21 5 (2002) 505-512
29. Partridge S.C., Mukherjee P.M., Berman J.I., Henry R.G., Miller S.P., Lu Y., Glenn O.A., Ferriero D.M., Barkovich A.J., and Vigneron D.B. Tractography-based quantitation of diffusion tensor imaging parameters in white matter tracts of preterm newborns. J. Magn. Reson. Imaging 22 (2005) 467-474
30. Pierpaoli C., and Basser P.J. Toward a quantitative assessment of diffusion anisotropy. Magn. Reson. Med. 36 (1996) 893-906
31. Press W.H., Teukolsky S.A., Vetterling W.T., and Flannery B.P. Numerical Recipes in C (1992), Cambridge University Press
32. Price S.J., Burnet N.G., Donovan T., Green H.A.L., PeÒa A., Antoun N.M., Pickard J.D., Carpenter T.A., and Gillard J.H. Diffusion tensor imaging of brain tumors at 3 T: A potential tool for assessing white matter tract invasion?. Clin. Radiol. 58 (2003) 455-462
33. Roosendaal S.D., Geurts J.J.G., Vrenken H., Hulst H.E., Cover K.S., Castelijns J.A., Pouwels P.J.W., and Barkhof F. Regional DTI differences in multiple sclerosis patients. NeuroImage 44 (2009) 1397-1403
34. Salvador R., PeÒa A., Menon D.K., Carpenter T.A., Pickard J.D., and Bullmore E.T. Formal characterization and extension of the linearized diffusion tensor model. Hum. Brain Mapp. 24 (2005) 144-155
35. Schonberg T., Pianka P., Hendler T., Pasternak O., and Assaf Y. Characterization of displaced white matter by brain tumors using combined DTI and fMRI. NeuroImage 30 (2006) 1100-1111
36. Skudlarski P., Jagannathan K., Calhoun V.D., Hampson M., Skudlarska B.A., and Pearlson G. Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations. NeuroImage 43 (2008) 554-561
37. Smith S.M., Jenkinson M., Johansen-Berg H., Rueckert D., Nichols T.E., Mackay C.E., Watkins K.E., Ciccarelli O., Cader M.Z., Matthews P.M., and Behrens T.E.J. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31 (2006) 1487-1505
38. Song S.K., Sun S.W., Ju W.K., Lin S.J., Cross A.H., and Neufeld A.H. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. NeuroImage 20 (2003) 1714-1722
39. Stadlbauer A., Nimsky C., Buslei R., Salomonowitz E., Hammen T., Buchfelder M., Moser E., Ernst-Stecken A., and Ganslandt O. Diffusion tensor imaging and optimized fiber tracking in glioma patients: histopathologic evaluation of tumor-invaded white matter structures. NeuroImage 34 (2007) 949-956
40. Stejskal E.O., and Tanner J.E. Spin diffusion measurements: spin-echoes in the presence of time-dependent field gradient. J. Chem. Phys. 42 (1965) 288-292
41. Tench C.R., Morgan P.S., Blumhardt L.D., and Constantinescu C. Improved white matter fiber tracking using stochastic labeling. Magn. Reson. Med. 48 (2002) 677-683
42. Tristán-Vega A., and Aja-Fernández S. Joint LMMSE estimation of DWI data for DTI processing. Medical Image Computing and Computer-Assisted Intervention (MICCAI) (2008), Springer-Verlag, New York, NY, USA 27-34 September
43. Tuch D.S. Q-Ball Imaging. Magn. Reson. Med. 52 (2004) 1358-1372
44. Tuch D.S., Reese T.G., Wiegell M.R., Makris N., Belliveau J.W., and Wedeen V.J. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magn. Reson. Med. 48 (2002) 577-582
45. Von Meerwall E., and Fergusson R.D. Interpreting pulsed-gradient spin-echo diffusion experiments with permeable membranes. J. Chem. Phys. 74 (1981) 6956-6959
46. Yu C.S., Li K.C., Xuan Y., Ji X.M., and Qin W. Diffusion tensor tractography in patients with cerebral tumors: a helpful technique for neurosurgical planning and postoperative assessment. Eur. J. Radiol. 56 (2005) 197-204