%0 Conference Paper %1 Dell'Acqua2005 %A Dell'Acqua, F. %A Rizzo, G. %A Scifo, P. %A Clarke, R.A. %A Scotti, G. %A Cerutti, S. %A Fazio, F. %B Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the %D 2005 %K Tensor %P 1415--1418 %T A Deconvolution Approach Based on Multi-Tensor Model to Solve Fiber Crossing in Diffusion-MRI %X A deconvolution approach, based on a multi-tensor model, is presented to solve fiber crossing in diffusion MRI. In order to provide a direct physical interpretation of the signal generation process, we re-wrote the classical multitensor ensor model, identifying a significant scalar parameter &to characterize the deconvolution process. Simulations show that, in presence of noise, the method is able to correctly separate fiber crossing. Application on in-vivo data highlights the ability of our approach to distinguish more than two fibers within the same voxel, suggesting its application in fiber tracking or connectivity studies even of complex brain structures.

@inproceedings{Dell'Acqua2005, abstract = {A deconvolution approach, based on a multi-tensor model, is presented to solve fiber crossing in diffusion MRI. In order to provide a direct physical interpretation of the signal generation process, we re-wrote the classical multitensor ensor model, identifying a significant scalar parameter &to characterize the deconvolution process. Simulations show that, in presence of noise, the method is able to correctly separate fiber crossing. Application on in-vivo data highlights the ability of our approach to distinguish more than two fibers within the same voxel, suggesting its application in fiber tracking or connectivity studies even of complex brain structures.}, added-at = {2007-01-10T11:43:56.000+0100}, author = {Dell'Acqua, F. and Rizzo, G. and Scifo, P. and Clarke, R.A. and Scotti, G. and Cerutti, S. and Fazio, F.}, biburl = {https://www.bibsonomy.org/bibtex/28ae9b698a149190473714da1d3856b65/bmeyer}, booktitle = {Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the}, description = {Diffusion Tensor Imaging (DTI)}, interhash = {057189701306ef02c1248c00cda91b42}, intrahash = {8ae9b698a149190473714da1d3856b65}, keywords = {Tensor}, month = {01-04 Sept.}, owner = {bzfbmeye}, pages = {1415--1418}, timestamp = {2007-01-10T11:43:56.000+0100}, title = {A Deconvolution Approach Based on Multi-Tensor Model to Solve Fiber Crossing in Diffusion-MRI}, year = 2005 }