Paul A. Armitage1, Susana Munoz Maniega1, Mark E. Bastin2
1Clinical Neurosciences, University of Edinburgh, Edinburgh, City of Edinburgh, UK; 2Medical & Radiological Sciences (Medical Physics), University of Edinburgh, Edinburgh, City of Edinburgh, UK
Neighborhood tractography has been shown to be beneficial for automating the extraction of white matter pathways in the brain. However, present implementations are generally specific to local tractography algorithms, such as those based on streamlining. Therefore, a neighborhood tractography framework is developed suitable for use with global tractography algorithms. When applied in conjunction with fast marching tractography, the method improved the automatic extraction of connectivity maps for white matter pathways of interest when compared to transposing seed points by registration alone.