Hybrid spectral CT reconstruction.

dc.contributor.author

Clark, Darin P

dc.contributor.author

Badea, Cristian T

dc.contributor.editor

Wang, Yuanquan

dc.coverage.spatial

United States

dc.date.accessioned

2017-11-20T00:29:06Z

dc.date.available

2017-11-20T00:29:06Z

dc.date.issued

2017

dc.description.abstract

Current photon counting x-ray detector (PCD) technology faces limitations associated with spectral fidelity and photon starvation. One strategy for addressing these limitations is to supplement PCD data with high-resolution, low-noise data acquired with an energy-integrating detector (EID). In this work, we propose an iterative, hybrid reconstruction technique which combines the spectral properties of PCD data with the resolution and signal-to-noise characteristics of EID data. Our hybrid reconstruction technique is based on an algebraic model of data fidelity which substitutes the EID data into the data fidelity term associated with the PCD reconstruction, resulting in a joint reconstruction problem. Within the split Bregman framework, these data fidelity constraints are minimized subject to additional constraints on spectral rank and on joint intensity-gradient sparsity measured between the reconstructions of the EID and PCD data. Following a derivation of the proposed technique, we apply it to the reconstruction of a digital phantom which contains realistic concentrations of iodine, barium, and calcium encountered in small-animal micro-CT. The results of this experiment suggest reliable separation and detection of iodine at concentrations ≥ 5 mg/ml and barium at concentrations ≥ 10 mg/ml in 2-mm features for EID and PCD data reconstructed with inherent spatial resolutions of 176 μm and 254 μm, respectively (point spread function, FWHM). Furthermore, hybrid reconstruction is demonstrated to enhance spatial resolution within material decomposition results and to improve low-contrast detectability by as much as 2.6 times relative to reconstruction with PCD data only. The parameters of the simulation experiment are based on an in vivo micro-CT experiment conducted in a mouse model of soft-tissue sarcoma. Material decomposition results produced from this in vivo data demonstrate the feasibility of distinguishing two K-edge contrast agents with a spectral separation on the order of the energy resolution of the PCD hardware.

dc.identifier

https://www.ncbi.nlm.nih.gov/pubmed/28683124

dc.identifier

PONE-D-17-04373

dc.identifier.eissn

1932-6203

dc.identifier.uri

https://hdl.handle.net/10161/15758

dc.language

eng

dc.publisher

Public Library of Science (PLoS)

dc.relation.ispartof

PLoS One

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10.1371/journal.pone.0180324

dc.subject

Animals

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Barium

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Calcium

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Contrast Media

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Iodine

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Mice

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Phantoms, Imaging

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Photons

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Radiographic Image Interpretation, Computer-Assisted

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Sarcoma

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Soft Tissue Neoplasms

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Tomography, X-Ray Computed

dc.title

Hybrid spectral CT reconstruction.

dc.type

Journal article

duke.contributor.orcid

Badea, Cristian T|0000-0002-1850-2522

pubs.author-url

https://www.ncbi.nlm.nih.gov/pubmed/28683124

pubs.begin-page

e0180324

pubs.issue

7

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Duke

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Duke Cancer Institute

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Institutes and Centers

pubs.organisational-group

Radiology

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School of Medicine

pubs.publication-status

Published online

pubs.volume

12

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