Mid-callosal plane determination using preferred directions from diffusion tensor images

The corpus callosum is the major brain structure responsible for inter{hemispheric communication between neurons. Many studies seek to relate corpus callosum attributes to patient characteristics, cerebral diseases and psychological disorders. Most of those studies rely on 2D analysis of the corpus callosum in the mid-sagittal plane. However, it is common to find conflicting results among studies, once many ignore methodological issues and define the mid-sagittal plane based on precary or invalid criteria with respect to the corpus callosum. In this work we propose a novel method to determine the mid-callosal plane using the corpus callosum internal preferred diffusion directions obtained from diffusion tensor images. This plane is analogous to the mid-sagittal plane, but intended to serve exclusively as the corpus callosum reference. Our method elucidates the great potential the directional information of the corpus callosum fibers have to indicate its own referential. Results from experiments with five image pairs from distinct subjects, obtained under the same conditions, demonstrate the method effectiveness to find the corpus callosum symmetric axis relative to the axial plane.

[1]  Libero Verard,et al.  Fully automatic identification of AC and PC landmarks on brain MRI using scene analysis , 1997, IEEE Transactions on Medical Imaging.

[2]  K. Jarrod Millman,et al.  Python for Scientists and Engineers , 2011, Comput. Sci. Eng..

[3]  J. Giedd,et al.  A Magnetization Transfer Imaging Study of Corpus Callosum Myelination in Young Children with Autism , 2012, Biological Psychiatry.

[4]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[5]  Jiri Matas,et al.  Optimal Randomized RANSAC , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Shuguo Wang,et al.  Automatic localization of AC and PC landmarks in T2-weighted MR volumetric neuroimages , 2010, The 2010 IEEE International Conference on Information and Automation.

[7]  Aamer Aziz,et al.  Rapid and automatic localization of the anterior and posterior commissure point landmarks in MR volumetric neuroimages. , 2006, Academic radiology.

[8]  F. Aboitiz,et al.  One hundred million years of interhemispheric communication: the history of the corpus callosum. , 2003, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.

[9]  Li Min Li,et al.  Cerebral and corpus callosum atrophy in systemic lupus erythematosus. , 2005, Arthritis and rheumatism.

[10]  Yanxi Liu,et al.  Robust midsagittal plane extraction from normal and pathological 3-D neuroradiology images , 2001, IEEE Transactions on Medical Imaging.

[11]  Mark W. Woolrich,et al.  FSL , 2012, NeuroImage.

[12]  Roberto de Alencar Lotufo,et al.  Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI , 2011, 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images.

[13]  C. Caltagirone,et al.  In vivo structural neuroanatomy of corpus callosum in Alzheimer's disease and mild cognitive impairment using different MRI techniques: a review. , 2010, Journal of Alzheimer's disease : JAD.

[14]  L. Lemieux,et al.  Reliable callosal measurement: population normative data confirm sex-related differences. , 2003, AJNR. American journal of neuroradiology.

[15]  Lynn K. Paul,et al.  Developmental malformation of the corpus callosum: a review of typical callosal development and examples of developmental disorders with callosal involvement , 2010, Journal of Neurodevelopmental Disorders.