PURPOSE: Develop a neural fiber reconstruction method based on diffusion tensor imaging, which is not as sensitive to user-defined regions of interest as streamline tractography. METHODS: A simulated annealing approach is employed to find a non-rigid transformation to map a fiber bundle from a fiber atlas to another fiber bundle, which minimizes a specific energy functional. The energy functional describes how well the transformed fiber bundle fits the patient's diffusion tensor data. RESULTS: The feasibility of the method is demonstrated on a diffusion tensor software phantom. We analyze the behavior of the algorithm with respect to image noise and number of iterations. First results on the datasets of patients are presented. CONCLUSIONS: The described method maps fiber bundles based on diffusion tensor data and shows high robustness to image noise. Future developments of the method should help simplify inter-subject comparisons of fiber bundles.
PURPOSE: Develop a neural fiber reconstruction method based on diffusion tensor imaging, which is not as sensitive to user-defined regions of interest as streamline tractography. METHODS: A simulated annealing approach is employed to find a non-rigid transformation to map a fiber bundle from a fiber atlas to another fiber bundle, which minimizes a specific energy functional. The energy functional describes how well the transformed fiber bundle fits the patient's diffusion tensor data. RESULTS: The feasibility of the method is demonstrated on a diffusion tensor software phantom. We analyze the behavior of the algorithm with respect to image noise and number of iterations. First results on the datasets of patients are presented. CONCLUSIONS: The described method maps fiber bundles based on diffusion tensor data and shows high robustness to image noise. Future developments of the method should help simplify inter-subject comparisons of fiber bundles.
Authors: Susumu Mori; Kenichi Oishi; Hangyi Jiang; Li Jiang; Xin Li; Kazi Akhter; Kegang Hua; Andreia V Faria; Asif Mahmood; Roger Woods; Arthur W Toga; G Bruce Pike; Pedro Rosa Neto; Alan Evans; Jiangyang Zhang; Hao Huang; Michael I Miller; Peter van Zijl; John Mazziotta Journal: Neuroimage Date: 2008-01-03 Impact factor: 6.556
Authors: Elke Hattingen; Julian Rathert; Alina Jurcoane; Stefan Weidauer; Andrea Szelényi; George Ogrezeanu; Volker Seifert; Friedhelm E Zanella; Thomas Gasser Journal: Neurosurg Rev Date: 2009-05-13 Impact factor: 3.042
Authors: Pierre Fillard; Maxime Descoteaux; Alvina Goh; Sylvain Gouttard; Ben Jeurissen; James Malcolm; Alonso Ramirez-Manzanares; Marco Reisert; Ken Sakaie; Fatima Tensaouti; Ting Yo; Jean-François Mangin; Cyril Poupon Journal: Neuroimage Date: 2011-01-20 Impact factor: 6.556
Authors: Hui Zhang; Suyash P Awate; Sandhitsu R Das; John H Woo; Elias R Melhem; James C Gee; Paul A Yushkevich Journal: Med Image Comput Comput Assist Interv Date: 2009