Correction for the dislocation of curved surfaces caused by the PSF in 2D and 3D CT images

Conventional edge-detection methods suffer from the dislocation of curved surfaces due to the PSF. We propose a new method that uses the isophote curvature to circumvent this. It is accurate for objects with locally constant curvature, even for small objects (like blood vessels) and in the presence...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2005-09, Vol.27 (9), p.1501-1507
Hauptverfasser:	Bouma, H., Vilanova, A., van Vliet, L.J., Gerritsen, F.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Biomedical imaging Blood vessels Computed tomography Computer science control theory systems Computer vision Curvature Curved Deconvolution Diseases Dislocations Exact sciences and technology Image edge detection Imaging, Three-Dimensional - methods Index Terms- Edge and feature detection Information Storage and Retrieval - methods Iterative methods Laplace equations Mathematical analysis Object detection Pattern analysis Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Radiographic Image Enhancement - methods Radiographic Image Interpretation, Computer-Assisted - methods Subtraction Technique Three dimensional Tomography, X-Ray Computed - methods
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Beschreibung
Zusammenfassung:	Conventional edge-detection methods suffer from the dislocation of curved surfaces due to the PSF. We propose a new method that uses the isophote curvature to circumvent this. It is accurate for objects with locally constant curvature, even for small objects (like blood vessels) and in the presence of noise.
ISSN:	0162-8828 1939-3539
DOI:	10.1109/TPAMI.2005.174