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Elimination of direct derivative of the projection data for image reconstruction based on hybrid filter in helical cone-beam CT / 南方医科大学学报
Journal of Southern Medical University ; (12): 911-914, 2008.
Article Dans Chinois | WPRIM | ID: wpr-280070
ABSTRACT
<p><b>OBJECTIVE</b>We present an alternative approach for precise reconstruction of the images from helical cone-beam projections combining Hilbert filter and Ramp filter.</p><p><b>METHODS</b>Based on the Katsevich algorithm framework, the proposed algorithm combined the FDK-type algorithms and Katsevich algorithm for their respective advantages, to completely avoid the direct derivatives with respect to the coordinates on the detector plane.</p><p><b>RESULTS</b>The experimental results validated the accuracy of the new algorithm, and this approach significantly improved the resolution of the reconstructed images with much reduced artifacts.</p><p><b>CONCLUSION</b>The proposed reconstruction formula based on hybrid Hilbert-Ramp filter is an important development of Katsevich reconstruction formula, and the different forms of the Ramp filters can be designed to realize frequency modulation according to the actual clinical application.</p>
Sujets)
Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Algorithmes / Traitement d&apos;image par ordinateur / Interprétation d&apos;images radiographiques assistée par ordinateur / Amélioration d&apos;image radiographique / Tomodensitométrie hélicoïdale à faisceau conique / Méthodes Limites du sujet: Humains langue: Chinois Texte intégral: Journal of Southern Medical University Année: 2008 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Algorithmes / Traitement d&apos;image par ordinateur / Interprétation d&apos;images radiographiques assistée par ordinateur / Amélioration d&apos;image radiographique / Tomodensitométrie hélicoïdale à faisceau conique / Méthodes Limites du sujet: Humains langue: Chinois Texte intégral: Journal of Southern Medical University Année: 2008 Type: Article