Quantitative Attenuation Correction for PET/CT Using Iterative Reconstruction of Low-Dose Dual-Energy CT
dc.contributor.author | Kinahan, Paul E. | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.contributor.author | Alessio, Adam M. | en_US |
dc.contributor.author | Lewellen, Thomas K. | en_US |
dc.date.accessioned | 2011-08-18T18:20:55Z | |
dc.date.available | 2011-08-18T18:20:55Z | |
dc.date.issued | 2004-10-16 | en_US |
dc.identifier.citation | Kinahan, P.E.; Fessler, J.A.; Alessio, A.M.; Lewellen, T.K. (2004). "Quantitative Attenuation Correction for PET/CT Using Iterative Reconstruction of Low-Dose Dual-Energy CT." IEEE Nuclear Science Symposium Conference Record 5: 3285-3289. <http://hdl.handle.net/2027.42/85861> | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/85861 | |
dc.description.abstract | We present the results of using iterative reconstruction of dual-energy CT (DECT) to perform accurate CT-based attenuation correction (CTAC) for PET emission images. Current methods, such as bilinear scaling, introduce quantitative errors in the PET emission image for bone, metallic implants, and contrast agents. DECT has had limited use in the past for quantitative CT imaging due to increased patient dose and high noise levels in the decoupled CT basis-material images. Reconstruction methods that model the acquisition physics impose a significant computational burden due to the large image matrix size (typically 512 × 512). For CTAC, however, three factors make DECT feasible: (1) a smaller matrix is needed for the transmission image, which reduces the noise per pixel, (2) a smaller matrix significantly accelerates an iterative CT reconstruction algorithm, (3) the monoenergetic transmission image at 511 keV is the sum of the two decoupled basis-material images. Initial results using a 128 × 128 matrix size for a test object comprised of air, soft tissue, dense bone, and a mixture of tissue and bone demonstrate a significant reduction of bias using DECT (from 20% to ?0% for the tissue/bone mixture). FBP reconstructed images, however, have significant noise. Noise levels are reduced from ?8% to ?3% by the use of PWLS reconstruction. | en_US |
dc.publisher | IEEE | en_US |
dc.title | Quantitative Attenuation Correction for PET/CT Using Iterative Reconstruction of Low-Dose Dual-Energy CT | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationother | Department of Radiology, University of Washington, Seattle, WA 98195 USA. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/85861/1/Fessler203.pdf | |
dc.identifier.doi | 10.1109/NSSMIC.2004.1466391 | en_US |
dc.identifier.source | IEEE Nuclear Science Symposium Conference Record | en_US |
dc.owningcollname | Electrical Engineering and Computer Science, Department of (EECS) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.