DTI analysis



Diffusion Magnetic Resonance Imaging (dMRI) is an MRI modality that is able to quantify the diffusion of water molecules within the tissue. In some cases, this diffusion is isotropic, and the total amount of diffusion can provide very useful information about different pathologies such as liver cirrhosis or brain stroke, among others. In other types of tissues, such as the white matter of the brain, water diffusion is anisotropic, and a more complex description of the diffusion profile is needed. One of the most common approaches to describe anisotropic diffusion is DTI (Diffusion Tensor Imaging).

DTI can be employed to estimate fiber trajectories within the white matter, producing what is known as tractography, to quantify different properties of the brain tissue through different scalar parameters (Fractional Anisotropy, Mean Diffusivity, Radial Diffusivity...), to perform group studies in neurological, neurosurgical and psychiatric pathologies (Alzheimer's disease, migraines, attention deficit/hyperactivity disorder, schizophrenia...) or as a key component in brain surgical planning.


  • Rodrigo de Luis-García, Gemma Cabús-Piñol, Carlos Imaz-Roncero, Daniel Argibay-Quiñones, Gonzalo Barrio-Arranz, Santiago Aja-Fernández, Carlos Alberola-López, Attention deficit/hyperactivity disorder and medication with stimulants in young children: A DTI study, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Volume 57, 3 March 2015, Pages 176-184
  • Whitford, T. J., Lee, S. W., Oh, J. S., de Luis-Garcia, R., Savadjiev, P., Alvarado, J. L., ... & Shenton, M. E. (2014). Localized abnormalities in the cingulum bundle in patients with schizophrenia: A Diffusion Tensor tractography study. NeuroImage: Clinical, 5, 93-99.
  • De la Cruz, C., Guerrero, A. L., Penas, M. L., Argibay, D., Sierra, J., Aja-Fernandez, S., & de Luis-Garcia, R. (2014, May). White matter abnormalities in chronic migraine patients are located in anterior corpus callosum: study using a new automatic tractography selection method. In EUROPEAN JOURNAL OF NEUROLOGY (Vol. 21, pp. 51-51)
  • de Luis-García, R., Westin, C. F., & Alberola-López, C. (2013). Geometrical constraints for robust tractography selection. NeuroImage, 81, 26-48.
  • de Luis-Garcia, R., Sanchez-Ferrero, G. V., Aja Fernandez, S., & Alberola-Lopez, C. (2013, July). Atlas-based segmentation of white matter structures from DTI using tensor invariants and orientation. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (pp. 503-506). IEEE.
  • Aja-Fernández, S., de Luis Garcia, R., Alberola-Lopez, C., & Hernando, D. (2013, June). Quantitative Diffusion MRI in the Presence of Noise: Effects of Filtering and Fitting Technique. In Quantitative Medical Imaging (pp. QTu2G-2). Optical Society of America.
  • de Luis-García, R., Alberola-López, C., & Westin, C. F. (2012). On the choice of a tensor distance for DTI white matter segmentation. In New Developments in the Visualization and Processing of Tensor Fields (pp. 283-306). Springer Berlin Heidelberg.
  • de Luis-García, R., Westin, C. F., & Alberola-López, C. (2011). Gaussian mixtures on tensor fields for segmentation: Applications to medical imaging. Computerized Medical Imaging and Graphics, 35(1), 16-30.
  • Cárdenes, R., Muñoz-Moreno, E., Sarabia-Herrero, R., Rodríguez-Velasco, M., Fuertes-Alija, J. J., & Martin-Fernandez, M. (2010). Analysis of the pyramidal tract in tumor patients using diffusion tensor imaging. NeuroImage, 50(1), 27-39.
  • Cárdenes, R., Argibay-Quiñones, D., Muñoz-Moreno, E., & Martin-Fernandez, M. (2009). Characterization of anatomic fiber bundles for diffusion tensor image analysis. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009 (pp. 903-910). Springer Berlin Heidelberg.