2007 | OriginalPaper | Buchkapitel
Towards Automated OCT-based Identification of White Brain Matter
verfasst von : Lukas Ramrath, Ulrich G. Hofmann, Gereon Huettmann, Andreas Moser, Achim Schweikard
Erschienen in: Bildverarbeitung für die Medizin 2007
Verlag: Springer Berlin Heidelberg
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A novel model-based identification of white brain matter in OCT A-scans is proposed. Based on nonlinear energy operators used in the classification of neural activity, candidates for white matter structures are extracted from a baseline-corrected signal. Validation of candidates is done by evaluating the correspondence to a simplified intensity model which is parametrized beforehand. Results for identification of white matter in rat brain
in vitro
show the capability of the proposed algorithm.