MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Control Theory and Fast Marching Techniques for Brain Connectivity Mapping
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
Front-End Vision and Multi-Scale Image Analysis: Multi-scale Computer Vision Theory and Applications, written in Mathematica
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Measures for pathway analysis in brain white matter using diffusion tensor images
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
A crossing detector based on the structure tensor
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A New Tensorial Framework for Single-Shell High Angular Resolution Diffusion Imaging
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision
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We study a well-known scalar quantity in Riemannian geometry, the Ricci scalar, in the context of diffusion tensor imaging (DTI), which is an emerging non-invasive medical imaging modality. We derive a physical interpretation for the Ricci scalar and explore experimentally its significance in DTI. We also extend the definition of the Ricci scalar to the case of high angular resolution diffusion imaging (HARDI) using Finsler geometry. We mention that the Ricci scalar is not only suitable for tensor valued image analysis, but it can be computed for any mapping f:R^n-R^m(m@?n).