Focal Cortical Dysplasia Segmentation in 3D Magnetic Resonance Images of the Human Brain
Resumo
In this work we present an image processing pipeline for automatic segmentation of focal cortical dysplasia lesions in 3D magnetic resonance images of the human brain. Dysplasia lesions are a common cause of refractory epilepsy, especially in children, and their treatment often involve surgical intervention. To achieve this pipeline we developed several new image processing techniques, procedures and algorithms, which led to an automatic FCD segmentation method that is more accurate than the state-of-the-art and that, unlike the state-of-the-art, is applicable to MR images of children.Referências
Antel, S. B., Collins, D. L., Bernasconi, N., Andermann, F., Shinghal, R., Kearney, R. E., Arnold, D. L., and Bernasconi, A. (2003). Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis. NeuroImage, 19(4):1748–1759.
Bastos, A. C., Comeau, R. M., Andermann, F., Melanson, D., Cendes, F., Dubeau, F., Fontaine, S., Tampieri, D., and Olivier, A. (1999). Diagnosis of subtle focal dysplastic lesions: Curvilinear reformatting from three-dimensional magnetic resonance imaging. Annals of Neurology, 46(1):88–94.
Bergo, F. P. G. (2008). Segmentação de Displasias Corticais Focais em Imagens de Resonância Magnética do Cérebro Humano. PhD thesis, Universidade Estadual de Campinas, Instituto de Computação.
Bergo, F. P. G. and Falcão, A. X. (2006). Fast and automatic curvilinear reformatting of MR images of the brain for diagnosis of dysplastic lesions. In Proc. of 3rd Intl. Symp. on Biomedical Imaging, pages 486–489. IEEE.
Bergo, F. P. G., Falcão, A. X., Miranda, P. A. V., and Rocha, L. M. (2007). Automatic image segmentation by tree pruning. J Math Imaging and Vision, 29(2–3):141–162.
Bergo, F. P. G., Falcão, A. X., Yasuda, C., and Ruppert, G. C. S. (2009). Fast, accurate and precise mid-sagittal plane location in 3D MR images of the brain. In Biomedical Engineering Systems and Technologies (CCIS 25), pages 278–290. Springer, Berlin.
Bergo, F. P. G., Falcão, A. X., Yasuda, C. L., and Cendes, F. (2008a). FCD segmentation using texture asymmetry of MR-T1 images of the brain. In Proc. of 5th Intl. Symp. on Biomedical Imaging, Paris, France. IEEE.
Bergo, F. P. G., Ruppert, G. C. S., Pinto, L. F., and Falcão, A. X. (2008b). Fast and robust mid-sagittal plane location in 3D MR images of the brain. In Proc. BIOSIGNALS 2008 – Intl. Conf. on Bio-Inspired Syst. and Sig. Proc., pages 92–99, Funchal, Portugal. Springer/IEEE.
Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., and Evans, A. C. (1998). Design and construction of a realistic digital brain phantom. IEEE Trans. on Medical Imaging, 17(3):463–468.
Colliot, O., Mansi, T., Bernasconi, N., Naessens, V., Klironomos, D., and Bernasconi, A. (2006). Segmentation of focal cortical dysplasia lesions on MRI using level set evolution. NeuroImage, 32(4):1621–1630.
Colombo, N., Tassi, L., Galli, C., Citterio, A., Russo, G. L., Scialfa, G., and Spreafico, R. (2003). Focal cortical dysplasias: MR imaging, histopathologic, and clinical correlations in surgically treated patients with epilepsy. American Journal of Neuroradiology, 24:724–733.
Cuadra, M. B., Pollo, C., Bardera, A., Cuisenaire, O., Villemure, J.-G., and Thiran, J.-P. (2004). Atlas-based segmentation of pathological MR brain images using a model of lesion growth. IEEE Trans Medical Imaging, 23(10):1301–1314.
Duda, R. O., Hart, P. E., and Stork, D. G. (2000). Pattern Classification. Wiley-Interscience.
Falcão, A. X., Bergo, F. P. G., and Miranda, P. A. V. (2004a). Image segmentation by tree pruning. In XVII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI), pages 65–71. IEEE.
Falcão, A. X., Stolfi, J., and Lotufo, R. A. (2004b). The image foresting transform: Theory, algorithms, and applications. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(1):19–29.
Frackowiak, R., Friston, K., Frith, C., Dolan, R., Price, C., Zeki, S., Ashburner, J., and Penny, W. (2003). Human Brain Function. Academic Press, 2nd edition.
Kassubek, J., Huppertz, H. J., Spreer, J., and Schulze-Bonhage, A. (2002). Detection and localication of focal cortical dysplasia by voxel-based 3-D MRI analysis. Epilepsia, 43(6):596–602.
Miranda, P. A. V., Bergo, F. P. G., Rocha, L. M., and Falcão, A. X. (2006). Tree-pruning: A new algorithm and its comparative analysis with the watershed transform for automatic image segmentation. In Proc. of the XIX Brazillian Symposium on Computer Graphics and Image Processing, pages 37–44. IEEE.
Montenegro, M. A., Li, L. M., Guerreiro, M. M., Guerreiro, C. A. M., and Cendes, F. (2002). Focal cortical dysplasia: Improving diagnosis and localization with magnetic resonance imaging multiplanar and curvilinear reconstruction. J Neuroimg, 12(3):224–230.
Ruggieri, P. M., Najm, I., Bronen, R., Campos, M., Cendes, F., Duncan, J. S., Weiser, H. G., and Theodore, W. H. (2004). Neuroimaging of the cortical dysplasias. Neurology, 62:S27–S29.
Srivastava, S., Maes, F., Vandermeulen, D., van Paesschen, W., Dupont, P., and Suetens, P. (2005). Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions. NeuroImage, 27(2):253–266.
Taylor, D. C., Falconer, M. A., Bruton, C. J., and Corsellis, J. A. (1971). Focal dysplasia of the cerebral cortex in epilepsy. J Neurol Neurosurg Psychiatry, 34(4):369–387.
Bastos, A. C., Comeau, R. M., Andermann, F., Melanson, D., Cendes, F., Dubeau, F., Fontaine, S., Tampieri, D., and Olivier, A. (1999). Diagnosis of subtle focal dysplastic lesions: Curvilinear reformatting from three-dimensional magnetic resonance imaging. Annals of Neurology, 46(1):88–94.
Bergo, F. P. G. (2008). Segmentação de Displasias Corticais Focais em Imagens de Resonância Magnética do Cérebro Humano. PhD thesis, Universidade Estadual de Campinas, Instituto de Computação.
Bergo, F. P. G. and Falcão, A. X. (2006). Fast and automatic curvilinear reformatting of MR images of the brain for diagnosis of dysplastic lesions. In Proc. of 3rd Intl. Symp. on Biomedical Imaging, pages 486–489. IEEE.
Bergo, F. P. G., Falcão, A. X., Miranda, P. A. V., and Rocha, L. M. (2007). Automatic image segmentation by tree pruning. J Math Imaging and Vision, 29(2–3):141–162.
Bergo, F. P. G., Falcão, A. X., Yasuda, C., and Ruppert, G. C. S. (2009). Fast, accurate and precise mid-sagittal plane location in 3D MR images of the brain. In Biomedical Engineering Systems and Technologies (CCIS 25), pages 278–290. Springer, Berlin.
Bergo, F. P. G., Falcão, A. X., Yasuda, C. L., and Cendes, F. (2008a). FCD segmentation using texture asymmetry of MR-T1 images of the brain. In Proc. of 5th Intl. Symp. on Biomedical Imaging, Paris, France. IEEE.
Bergo, F. P. G., Ruppert, G. C. S., Pinto, L. F., and Falcão, A. X. (2008b). Fast and robust mid-sagittal plane location in 3D MR images of the brain. In Proc. BIOSIGNALS 2008 – Intl. Conf. on Bio-Inspired Syst. and Sig. Proc., pages 92–99, Funchal, Portugal. Springer/IEEE.
Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., and Evans, A. C. (1998). Design and construction of a realistic digital brain phantom. IEEE Trans. on Medical Imaging, 17(3):463–468.
Colliot, O., Mansi, T., Bernasconi, N., Naessens, V., Klironomos, D., and Bernasconi, A. (2006). Segmentation of focal cortical dysplasia lesions on MRI using level set evolution. NeuroImage, 32(4):1621–1630.
Colombo, N., Tassi, L., Galli, C., Citterio, A., Russo, G. L., Scialfa, G., and Spreafico, R. (2003). Focal cortical dysplasias: MR imaging, histopathologic, and clinical correlations in surgically treated patients with epilepsy. American Journal of Neuroradiology, 24:724–733.
Cuadra, M. B., Pollo, C., Bardera, A., Cuisenaire, O., Villemure, J.-G., and Thiran, J.-P. (2004). Atlas-based segmentation of pathological MR brain images using a model of lesion growth. IEEE Trans Medical Imaging, 23(10):1301–1314.
Duda, R. O., Hart, P. E., and Stork, D. G. (2000). Pattern Classification. Wiley-Interscience.
Falcão, A. X., Bergo, F. P. G., and Miranda, P. A. V. (2004a). Image segmentation by tree pruning. In XVII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI), pages 65–71. IEEE.
Falcão, A. X., Stolfi, J., and Lotufo, R. A. (2004b). The image foresting transform: Theory, algorithms, and applications. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(1):19–29.
Frackowiak, R., Friston, K., Frith, C., Dolan, R., Price, C., Zeki, S., Ashburner, J., and Penny, W. (2003). Human Brain Function. Academic Press, 2nd edition.
Kassubek, J., Huppertz, H. J., Spreer, J., and Schulze-Bonhage, A. (2002). Detection and localication of focal cortical dysplasia by voxel-based 3-D MRI analysis. Epilepsia, 43(6):596–602.
Miranda, P. A. V., Bergo, F. P. G., Rocha, L. M., and Falcão, A. X. (2006). Tree-pruning: A new algorithm and its comparative analysis with the watershed transform for automatic image segmentation. In Proc. of the XIX Brazillian Symposium on Computer Graphics and Image Processing, pages 37–44. IEEE.
Montenegro, M. A., Li, L. M., Guerreiro, M. M., Guerreiro, C. A. M., and Cendes, F. (2002). Focal cortical dysplasia: Improving diagnosis and localization with magnetic resonance imaging multiplanar and curvilinear reconstruction. J Neuroimg, 12(3):224–230.
Ruggieri, P. M., Najm, I., Bronen, R., Campos, M., Cendes, F., Duncan, J. S., Weiser, H. G., and Theodore, W. H. (2004). Neuroimaging of the cortical dysplasias. Neurology, 62:S27–S29.
Srivastava, S., Maes, F., Vandermeulen, D., van Paesschen, W., Dupont, P., and Suetens, P. (2005). Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions. NeuroImage, 27(2):253–266.
Taylor, D. C., Falconer, M. A., Bruton, C. J., and Corsellis, J. A. (1971). Focal dysplasia of the cerebral cortex in epilepsy. J Neurol Neurosurg Psychiatry, 34(4):369–387.
Publicado
20/07/2009
Como Citar
BERGO, Felipe P. G.; FALCÃO, Alexandre X..
Focal Cortical Dysplasia Segmentation in 3D Magnetic Resonance Images of the Human Brain. In: CONCURSO DE TESES E DISSERTAÇÕES (CTD), 22. , 2009, Bento Gonçalves/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2009
.
p. 17-23.
ISSN 2763-8820.