Convolution reverse-projection

Convolution reverse-projection

This paper presents a novel convolutional method called convolution reverse-projection (CRP) for reconstructing objects from their X-ray projections. CRP has a significant edge over the popular convolution back-projection (CBP) method, because it uses a more accurate back-projection method. Reverse-...

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Bibliographische Detailangaben
Hauptverfasser: Peddanarappagari, K.V., Fager, R.S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical imaging
Convolution
Detectors
Filters
Focusing
Geometry
Image recognition
Image reconstruction
Interpolation
Iterative algorithms
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Beschreibung
Zusammenfassung:This paper presents a novel convolutional method called convolution reverse-projection (CRP) for reconstructing objects from their X-ray projections. CRP has a significant edge over the popular convolution back-projection (CBP) method, because it uses a more accurate back-projection method. Reverse-projection avoids the interpolation and compensates for the differences in ray-density in the reconstruction region.< >
DOI:10.1109/CBMS.1993.262992