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Dr. Lenglet is an Assistant Professor at the Center for Magnetic Resonance Research, Department of Radiology and Institute for Translational Neuroscience Scholar. After receiving a M.Sc. in Computer Science & Engineering from Compiègne University of Technology (2003), and a M.Sc. in Applied Mathematics from École Normale Supérieure de Cachan (2003), he earned a Ph.D. in Biomedical Imaging and Neuroscience from INRIA Sophia Antipolis - Méditerranée (2006). He then joined the Imaging and Visualization Department at Siemens Corporate Research as a Research Scientist. In 2008, he moved to the University of Minnesota as a Research Associate in the Department of Electrical and Computer Engineering. In 2010, he became a faculty member of the Center for Magnetic Resonance Research. He is also an elite triathlete and has competed in several Ironman events.
Research Interests:
My research field is Neuroimaging. I am interested in:
- Mathematical and computational strategies for Neuroimaging: image registration and segmentation, morphometry, estimation of white matter fiber orientations, tractography, large-scale population studies.
- Optimization of diffusion MRI acquisition protocols at high field.
- Translational Neuroimaging for neurodegenerative disorders such as Alzheimer's and Parkinson's diseases.
- Human brain anatomical and functional connectome, neuroanatomy.
Selected Publications:
Lenglet C, Abosch A, Yacoub E, Sapiro G, Harel N. In-vivo Visualization of the Human Basal Ganglia Structure and Connectivity using High Resolution 7T MRI. Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM); May 7-13; Montréal, Canada 2011.
Jahanshad N, Aganj I, Lenglet C, Joshi A, Yan J, Barysheva M, et al. Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI); March 30 - April 2; Chicago, IL 2011. p. 939-43.
Goh A, Lenglet C, Thompson PM, Vidal R. A nonparametric Riemannian framework for processing high angular resolution diffusion images and its applications to ODF-based morphometry. Neuroimage. 2011; 56(3):1181-201.
Aganj I, Lenglet C, Yacoub E, Sapiro G, Harel N. A 3D wavelet fusion approach for the reconstruction of isotropic-resolution MR images from orthogonal anisotropic-resolution scans. Magn Reson Med. 2011.
Aganj I, Lenglet C, Jahanshad N, Yacoub E, Harel N, Thompson PM, et al. A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography. Med Image Anal. 2011; 15(4):414-25.
Aganj I, Lenglet C, Sapiro G, Yacoub E, Ugurbil K, Harel N. Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle. Magn Reson Med. 2010; 64(2):554-66.
Lenglet C, Prados E, Pons J-P, Deriche R, Faugeras O. Brain Connectivity Mapping Using Riemannian Geometry, Control Theory, and PDEs. SIAM J Img Sci. 2009; 2(2):285-322.
Lenglet C, Campbell JS, Descoteaux M, Haro G, Savadjiev P, Wassermann D, et al. Mathematical methods for diffusion MRI processing. Neuroimage. 2009; 45(1 Suppl):S111-22.
Castaño-Moraga CA, Lenglet C, Deriche R, Ruiz-Alzola J. A Riemannian approach to anisotropic filtering of tensor fields. Signal Process. 2007; 87(2):263-76.
Lenglet C, Rousson M, Deriche R, Faugeras O. Statistics on the manifold of multivariate normal distributions: Theory and application to Diffusion Tensor MRI processing. J Math Imaging Vis. 2006; 25(3):423-44.
Lenglet C, Rousson M, Deriche R. DTI segmentation by statistical surface evolution. IEEE Trans Med Imaging. 2006; 25(6):685-700.
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