Comparative evaluation of linear interpolation models for iterative reconstruction in X-ray CT

Schmitt, K.; Schöndube, Harald; Stierstorfer, Karl; Hornegger, Joachim; Noo, Frédéric

doi:10.1117/12.2008175

Cited by 2 publications

(2 citation statements)

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“…It has been shown [42, 43] that different, but appropriate, calculation schemes for obtaining system matrix ℋ yield reconstructions with marginal differences when applied to real data of CBCT imaging.…”

Section: Determination Of Reconstruction Parametersmentioning

confidence: 99%

“…In section 6 below, additional discussion is given as to the impact of voxel size on image reconstruction and display. In all of the studies, the intersection length of an x-ray considered with a voxel is chosen as an element of system matrix H. It has been shown (Schmitt et al 2013, Hofmann et al 2014 that different, but appropriate, calculation schemes for obtaining system matrix H yield reconstructions with marginal differences when applied to real data of CBCT imaging.…”

Section: Determination Of Program-parameter Valuesmentioning

confidence: 99%

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Algorithm-enabled exploration of image-quality potential of cone-beam CT in image-guided radiation therapy

et al. 2015

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Kilo-voltage (KV) cone-beam computed tomography (CBCT) unit mounted onto a linear accelerator treatment system, often referred to as on-board imager (OBI), plays an increasingly important role in image-guide radiation therapy. While the FDK algorithm is used currently for reconstructing images from clinical OBI data, optimization-based reconstruction has also been investigated for OBI CBCT. An optimization-based reconstruction involves numerous parameters, which can significantly impact reconstruction properties (or utility). The success of an optimization-based reconstruction for a particular class of practical applications thus relies strongly on appropriate selection of parameter values. In the work, we focus on tailoring the constrained-TV-minimization-based reconstruction, an optimization-based reconstruction previously shown of some potential for CBCT imaging conditions of practical interest, to OBI imaging through appropriate selection of parameter values. In particular, for given real data of phantoms and patient collected with OBI CBCT, we first devise utility metrics specific to OBI-quality-assurance tasks and then apply them to guiding the selection of parameter values in constrained-TV-minimization-based reconstruction. The study results show that the reconstructions are with improvement, relative to clinical FDK reconstruction, in both visualization and quantitative assessments in terms of the devised utility metrics.

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Section: Determination Of Reconstruction Parametersmentioning

confidence: 99%

Section: Determination Of Program-parameter Valuesmentioning

confidence: 99%