Abstract：
:Magnetic resonance imaging (MRI) is an established clinical technique that measures diffusion-weighted signals, applied primarily in brain studies. Diffusion tensor imaging (DTI) is a technique that uses the diffusion-weighted signals to obtain information about tissue connectivity, which recently started to become established in clinical use. The extraction of tracts (tractography) is an issue under active research. In this work we present an algorithm for recovering tracts, based on Dijkstra's minimum-cost path. A novel cost definition algorithm is presented that allows tract reconstruction, considering the tract's curvature, as well as its alignment with the diffusion vector field. The proposed cost function is able to adapt to linear, planar, and spherical diffusion. Thus, it can handle issues of fiber crossing, which pose considerable problems to tractography algorithms. A simple method for generating synthetic diffusion - weighted MR signals from known fibers - is also presented and utilized in this work. Results are shown for two (2D)- and three-dimensional (3D) synthetic data, as well as for a clinical MRI-DTI brain study.
journal_name
Adv Exp Med Bioljournal_title
Advances in experimental medicine and biologyauthors
Delibasis Κ,Aronis C,Fanariotis M,Maglogiannis Idoi
10.1007/978-3-030-32622-7_12subject
Has Abstractpub_date
2020-01-01 00:00:00pages
135-150eissn
0065-2598issn
2214-8019journal_volume
1194pub_type
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