title: Fiber continuity based spherical deconvolution in spherical harmonic domain.
abstract: The reliable estimation of fiber orientation distributions from diffusion-sensitized magnetic resonance imaging is an important processing step for revealing structural connectivity in the human brain. Fiber orientation distributions are usually represented in spherical harmonic (SH) domain, but many modern spatial regularization techniques were not yet formulated in SH-domain such that they cannot benefit from the well known advantages. In this article we propose a novel SH-formulation of the contour enhancement propagator (fiber continuity) which enables to implement a variety of processing steps in SH-domain.
authors: Department of Diagnostic Radiology, Medical Physics, University Medical Center, Breisacher Street 60a, 79106 Freiburg, Germany.
authors: Marco
authors: M
authors: Reisert
authors: Graduate School of Informatics, Kyoto University, Gokasho, 611-0011 Uji, Kyoto, Japan.
authors: Henrik
authors: H
authors: Skibbe
mesh_terms: D000465:Algorithms; D001921:Brain / Q000166:cytology*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009413:Nerve Fibers, Myelinated / Q000648:ultrastructure*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity