Artículos de revistas
Automatic Dti-based Parcellation Of The Corpus Callosum Through The Watershed Transform
Registro en:
Revista Brasileira De Engenharia Biomedica. Sociedade Brasileira De Engenharia Biomedica, v. 30, n. 2, p. 132 - 143, 2014.
15173151
10.1590/rbeb.2014.012
2-s2.0-84903944326
Autor
Rittner L.
Freitas P.F.
Appenzeller S.
Lotufo R.A.
Institución
Resumen
Introduction: Parcellation of the corpus callosum (CC) in the midsagittal cross-section of the brain is of utmost importance for the study of diffusion properties within this structure. The complexity of this operation comes from the absence of macroscopic anatomical landmarks to help in dividing the CC into different callosal areas. In this paper we propose a completely automatic method for CC parcellation using diffusion tensor imaging (DTI). Methods: A dataset of 15 diffusion MRI volumes from normal subjects was used. For each subject, the midsagital slice was automatically detected based on the Fractional Anisotropy (FA) map. Then, segmentation of the CC in the midsgital slice was performed using the hierarchical watershed transform over a weighted FA-map. Finally, parcellation of the CC was obtained through the application of the watershed transform from chosen markers. Results: Parcellation results obtained were consistent for fourteen of the fifteen subjects tested. Results were similar to the ones obtained from tractography-based methods. Tractography confirmed that the cortical regions associated with each obtained CC region were consistent with the literature. Conclusions: A completely automatic DTI-based parcellation method for the CC was designed and presented. It is not based on tractography, which makes it fast and computationally inexpensive. While most of the existing methods for parcellation of the CC determine an average behavior for the subjects based on population studies, the proposed method reflects the diffusion properties specific for each subject. Parcellation boundaries are found based on the diffusion properties within each individual CC, which makes it more reliable and less affected by differences in size and shape among subjects. 30 2 132 143 Aboitiz, F., Scheibel, A.B., Fisher, R.S., Zaidel, E., Fiber composition of the human corpus callosum (1992) Brain Research, 598 (1-2), pp. 143-153. , http://dx.doi.org/10.1016/0006-8993(92)90178-C Basser, P.J., Pierpaoli, C., Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI (1996) Journal of Magnetic Resonance, Series B, 111 (3), pp. 209-219. , http://dx.doi.org/10.1006/jmrb.1996.0086 Basser, P.J., Mattiello, J., LeBihan, D., MR diffusion tensor spectroscopy and imaging (1994) Biophysical Journal, 66 (1), pp. 259-267. , http://dx.doi.org/10.1016/S0006-3495(94)80775-1 Beucher, S., Lantuéjoul, C., (1979) Use of watersheds in contour detection, , In: International Workshop on Image Processing: Proceedings of the International Workshop on Image Processing: Real-time Edge and Motion Detection/Estimation Rennes, France Beucher, S., Meyer, F., (1992) The morphological approach to segmentation: The Watershed Transformation, pp. 433-481. , Mathematical Morphology in Image Processing (CRC Press) Biegon, A., Eberling, J.L., Richardson, B.C., Roos, M.S., Wong, S.T., Reed, B.R., Jagust, W.J., Human corpus callosum in aging and alzheimer's disease: A magnetic resonance imaging study (1994) Neurobiology of Aging, 15 (4), pp. 393-397. , http://dx.doi.org/10.1016/0197-4580(94)90070-1 Chepuri, N.B., Yen, Y.F., Burdette, J.H., Li, H., Moody, D.M., Maldjian, J.A., Diffusion anisotropy in the corpus callosum (2002) American journal of Neuroradiology, 23 (5), pp. 803-808. , PMid: 12006281 DeLacoste-Utamsing, C., Holloway, R., Sexual dimorphism in the human corpus callosum (1982) Science, 216 (4553), pp. 1431-1432. , http://dx.doi.org/10.1126/science.7089533 Digabel, H., Lantuéjoul, C., Iterative algorithms, pp. 85-99. , In: European Symposium Quantitative Analysis of Microstructures in Material Science, Biology and Medicine: Proceedings of the 2nd European Symposium Quantitative Analysis of Microstructures in Material Science, Biology and Medicine 1978 Dougherty, R.F., Ben-Shachar, M., Bammer, R., Brewer, A.A., Wandell, B.A., Functional organization of human occipital-callosal fiber tracts (2005) Proceedings of the National Academy of Sciences of the United States of America, 102 (20), pp. 7350-7355. , http://dx.doi.org/10.1073/pnas.0500003102, PMid: 15883384 PMCid: PMC1129102 Duara, R., Kushch, A., Gross-Glenn, K., Barker, W.W., Jallad, B., Pascal, S., Loewenstein, D.A., Lubs, H., Neuroanatomic differences between dyslexic and normal readers on magnetic resonance imaging scans (1991) Archives of Neurology, 48 (4), pp. 410-416. , http://dx.doi.org/10.1001/archneur.1991.00530160078018, PMid: 2012516 Falcão, A.X., Stolfi, J., Lotufo, R.A., The image foresting transform: Theory, algorithms, and applications (2004) IEEE Transactions on Pattern Analysis and Machine Intelligence, 26 (1), pp. 19-29. , http://dx.doi.org/10.1109/TPAMI.2004.1261076, PMid: 15382683 Freitas, P., Rittner, L., Appenzeller, S., Lotufo, R.A., Watershed-based segmentation of the midsagittal section of the corpus callosum in diffusion MRI IEEE Computer Society, pp. 274-280. , In: Graphics, Patterns and Images, Conference on: Proceedings of the 24th Conference on Graphics, Patterns and Images 2011 Grimaud, M., A new measure of contrast: The dynamics (1992) Image Algebra and Morphological Image Processing III, 1769, pp. 292-305. , http://dx.doi.org/10.1117/12.60650 Habib, M., Gayraud, D., Oliva, A., Regis, J., Salamon, G., Khalil, R., Effects of handedness and sex on the morphology of the corpus callosum: A study with brain magnetic resonance imaging (1991) Brain and Cognition, 16 (1), pp. 41-61. , http://dx.doi.org/10.1016/0278-2626(91)90084-L Hampel, H., Teipel, S.J., Alexander, G.E., Horwitz, B., Teichberg, D., Schapiro, M.B., Rapoport, S.I., Corpus callosum atrophy is a possible indicator of region-and cell type-specific neuronal degeneration in Alzheimer disease: A magnetic resonance imaging analysis (1998) Archives of Neurology, 55 (2), pp. 193-198. , http://dx.doi.org/10.1001/archneur.55.2.193, PMid: 9482361 Hofer, S., Frahm, J., Topography of the human corpus callosum revisited-comprehensive fiber tractography using diffusion tensor magnetic resonance imaging (2006) NeuroImage, 32 (3), pp. 989-994. , http://dx.doi.org/10.1016/j.neuroimage.2006.05.044, PMid: 16854598 Huang, H., Zhang, J., Jiang, H., Wakana, S., Poetscher, L., Miller, M.I., van Zijl, P.C., Mori, S., DTI tractography based parcellation of white matter: Application to the mid-sagittal morphology of corpus callosum (2005) NeuroImage, 26 (1), pp. 195-205. , http://dx.doi.org/10.1016/j.neuroimage.2005.01.019, PMid: 15862219 Johnson, S.C., Farnworth, T., Pinkston, J.B., Bigler, E.D., Blatter, D.D., Corpus callosum surface area across the human adult life span: Effect of age and gender (1994) Brain Research Bulletin, 35 (4), pp. 373-377. , http://dx.doi.org/10.1016/0361-9230(94)90116-3 Körbes, A., Lotufo, R.A., Analysis of the watershed algorithms based on the Breadth-First and Depth-First exploring methods (2009) IEEE Computer Society, pp. 133-140. , http://dx.doi.org/10.1109/SIBGRAPI.2009.43, In: Computer Graphics and Image Processing, Brazilian Symposium on: Proceedings of the 22th Brazilian Symposium on Computer Graphics and Image Processing 2009 Rio de Janeiro, Brazil Larsen, J.P., Höien, T., Odegaard, H., Magnetic resonance imaging of the corpus callosum in developmental dyslexia (1992) Cognitive Neuropsychology, 9 (2), pp. 123-134. , http://dx.doi.org/10.1080/02643299208252055 Lotufo, R.A., Falcão, A.X., The ordered queue and the optimality of the watershed approaches Kluwer Academic Publishers v, pp. 341-350. , http://dx.doi.org/10.1007/0-306-47025-X_37, In: Mathematical Morphology and its Applications to Image and Signal Processing: Proceedings of the 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing 2000, 18 Mori, S., Crain, B.J., Chacko, V.P., van Zijl, P.C.M., Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging (1999) Annals of Neurology, 45 (2), pp. 265-269. , http://dx.doi.org/10.1002/1531-8249(199902)45:2265::AID-ANA213.0.CO;2-3 Narr, K.L., Thompson, P.M., Sharma, T., Moussal, J., Cannestra, A.F., Toga, A.W., Mapping morphology of the corpus callosum in schizophrenia (2000) Cerebral cortex (New York, NY, 1991), 10 (1), pp. 40-49. , http://dx.doi.org/10.1093/cercor/10.1.40 Narr, K.L., Cannon, T.D., Woods, R.P., Thompson, P.M., Kim, S., Asunction, D., van Erp, T.G., Toga, A.W., Genetic Contributions to Altered Callosal Morphology in Schizophrenia The Journal of Neuroscience, 22 (9), pp. 3720-3729. , PMid: 11978848 O'Dwyer, L., Lamberton, F., Bokde, A.L.W., Ewers, M., Faluyi, Y.O., Tanner, C., Mazoyer, B., Hampel, H., Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer's disease (2011) PLoS one, 6 (6), pp. e21745. , http://dx.doi.org/10.1371/journal.pone.0021745, PMid: 21738785 PMCid: PMC3128090 Oh, J.S., Suk Park, K., Chan Song, I., Ju Kim, S., Hwang, J., Chung, A., Kyoon Lyoo, I., Fractional anisotropy-based divisions of midsagittal corpus callosum (2005) Neuroreport, 16 (4), pp. 317-320. , http://dx.doi.org/10.1097/00001756-200503150-00002 Park, H.J., Kim, J.J., Lee, S.K., Seok, J.H., Chun, J., Kim, D.I., Lee, J.D., Corpus callosal connection mapping using cortical gray matter parcellation and DT-MRI (2008) Human Brain Mapping, 29 (5), pp. 503-516. , http://dx.doi.org/10.1002/hbm.20314, PMid: 17133394 Park, J.S., Yoon, U., Kwak, K.C., Seo, S.W., Kim, S.I., Na, D.L., Lee, J.M., The relationships between extent and microstructural properties of the midsagittal corpus callosum in human brain (2011) NeuroImage, 56 (1), pp. 174-184. , http://dx.doi.org/10.1016/j.neuroimage.2011.01.065, PMid: 21281715 Rajapakse, J.C., Giedd, J.N., Rumsey, J.M., Vaituzis, A.C., Hamburger, S.D., Rapoport, J.L., Regional MRI measurements of the corpus callosum: A methodological and developmental study (1996) Brain and Development, 18 (5), pp. 379-388. , http://dx.doi.org/10.1016/0387-7604(96)00034-4 Rumsey, J.M., Casanova, M., Mannheim, G.B., Patronas, N., De Vaughn, N., Hamburger, S.D., Aquino, T., Corpus callosum morphology, as measured with MRI, in dyslexic men Biological Psychiatry, 39 (9), pp. 769-775. , http://dx.doi.org/10.1016/0006-3223(95)00225-1 Rosas, H.D., Lee, S.Y., Bender, A.C., Zaleta, A.K., Vangel, M., Yu, P., Fischl, B., Hersch, S.M., Altered white matter microstructure in the corpus callosum in Huntington's disease: Implications for cortical disconnection (2010) NeuroImage, 49 (4), pp. 2995-3004. , http://dx.doi.org/10.1016/j.neuroimage.2009.10.015, PMid: 19850138 PMCid: PMC3725957 Thompson, P.M., Narr, K.L., Blanton, R.E., Toga, A.W., Mapping structural alterations of the corpus callosum during brain development and degeneration (2003) Proceedings of the NATO ASI on the corpus callosum, pp. 93-130 Von Plessen, K., Lundervold, A., Duta, N., Heiervang, E., Klauschen, F., Smievoll, A.I., Ersland, L., Hugdahl, K., Less developed corpus callosum in dyslexic subjects-a structural MRI study (2002) Neuropsychologia, 40 (7), pp. 1035-1044. , http://dx.doi.org/10.1016/S0028-3932(01)00143-9 Wahl, M., Lauterbach-Soon, B., Hattingen, E., Jung, P., Singer, O., Volz, S., Klein, J.C., Ziemann, U., Human motor corpus callosum: Topography, somatotopy, and link between microstructure and function (2007) Journal of Neuroscience, 27 (45), pp. 12132-12138. , http://dx.doi.org/10.1523/JNEUROSCI.2320-07.2007, PMid: 17989279 Witelson, S.F., Hand and sex differences in the isthmus and genu of the human corpus callosum. A postmortem morphological study (1989) Brain, 112 (PART 3), pp. 799-835. , http://dx.doi.org/10.1093/brain/112.3.799, PMid: 2731030 Witelson, S.F., Goldsmith, C.H., The relationship of hand preference to anatomy of the corpus callosum in men (1991) Brain Research, 545 (1-2), pp. 175-182. , http://dx.doi.org/10.1016/0006-8993(91)91284-8