Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Extraction of the Aortic Dissection Membrane via Spectral Phase Information
verfasst von : Cosmin Adrian Morariu, Daniel Sebastian Dohle, Konstantinos Tsagakis, Josef Pauli
Erschienen in: Bildverarbeitung für die Medizin 2015
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Streak/ring/motion artifacts, unequal distribution of the intravenously injected contrast agent and the partial volume effect lead to significant differences in brightness and contrast between CTA datasets or even between slices of the same dataset. These issues affecting the segmentation of fine structures such as the aortic dissection membrane can be efficiently addressed only by applying a measure invariant to luminance and contrast. Towards this end, the analysis of local phase information in the frequency domain using Log-Gabor wavelets achieves sub-mm accuracy when segmenting the dissection membrane by 3 new approaches. In order to avoid under-segmentation, as well as the inclusion of artifacts, this contribution extends phase congruency by proposing a novel scale space strategy, which consists of combining low-frequent, ”secure” structures only with adjoining filtering results of high-frequent nature. Our concept harmonizes with the principles of perceptual organization pertaining to the human visual cortex.