Solution to the long object problem by convolutions with spatially variant 1-D Hilbert transforms in spiral cone-beam computed tomography

In the long object problem it is intended to reconstruct exactly a region-of-interest (ROI) of an object from spiral cone-beam data which covers the ROI and its immediate vicinity. One possible solution is the previously published local ROI technique. The Radon derivative data are computed for diffe...

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Bibliographische Detailangaben

Hauptverfasser:	Lauritsch, G., Tam, K.C., Sourbelle, K.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biomedical engineering Biomedical imaging Computed tomography Detectors Filtering Image quality Image reconstruction Kernel Spirals X-ray imaging
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