brain imaging data structure (bids) format using the ku leuven neuroimaging suite (kul_nis) (KU Leuven)
Structured Review

Brain Imaging Data Structure (Bids) Format Using The Ku Leuven Neuroimaging Suite (Kul Nis), supplied by KU Leuven, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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1) Product Images from "Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation"
Article Title: Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation
Journal: Human Brain Mapping
doi: 10.1002/hbm.26662
Figure Legend Snippet: Summarized demographics, pathological type, distribution, and volumes.
Techniques Used:
Figure Legend Snippet: Schematic representation of the data preprocessing and analysis workflow used to compare different tractography results to intraoperative mapping outcome. BIDS, brain imaging data structure; DSC, dice similarity coefficient; DTI, diffusion tensor imaging; FACT, fiber assignment by continuous tracking; JI, Jaccard index; KUL_FWT, KU Leuven fun with tracts; KUL_NIS, KU Leuven neuroimaging suite; KUL_VBG, KU Leuven virtual brain grafting; MRI, magnetic resonance imaging.
Techniques Used: Imaging, Diffusion-based Assay, Magnetic Resonance Imaging
