Journal article
Bias in PET Images of Solid Phantoms Due to CT-Based Attenuation Correction
Tomography (Ann Arbor), Vol.5(1), pp.154-160
03/2019
DOI: 10.18383/j.tom.2018.00043
PMCID: PMC6403023
PMID: 30854453
Abstract
The use of computed tomography (CT) images to correct for photon attenuation in positron emission tomography (PET) produces unbiased patient images, but it is not optimal for synthetic materials. For test objects made from epoxy, image bias and artifacts have been observed in well-calibrated PET/CT scanners. An epoxy used in commercially available sources was infused with long-lived
Ge/
Ga nuclide and measured on several PET/CT scanners as well as on older PET scanners that measured attenuation with 511-keV photons. Bias in attenuation maps and PET images of phantoms was measured as imaging parameters and methods varied. Changes were made to the PET reconstruction to show the influence of CT-based attenuation correction. Additional attenuation measurements were made with a new epoxy intended for use in radiology and radiation treatment whose photonic properties mimic water. PET images of solid phantoms were biased by between 3% and 24% across variations in CT X-ray energy and scanner manufacturer. Modification of the reconstruction software reduced bias, but object-dependent changes were required to generate accurate attenuation maps. The water-mimicking epoxy formulation showed behavior similar to water in limited testing. For some solid phantoms, transformation of CT data to attenuation maps is a major source of PET image bias. The transformation can be modified to accommodate synthetic materials, but our data suggest that the problem may also be addressed by using epoxy formulations that are more compatible with PET/CT imaging.
Details
- Title: Subtitle
- Bias in PET Images of Solid Phantoms Due to CT-Based Attenuation Correction
- Creators
- Darrin W Byrd - University of WashingtonJohn J Sunderland - University of IowaTzu-Cheng Lee - University of WashingtonPaul E Kinahan - University of Washington
- Resource Type
- Journal article
- Publication Details
- Tomography (Ann Arbor), Vol.5(1), pp.154-160
- DOI
- 10.18383/j.tom.2018.00043
- PMID
- 30854453
- PMCID
- PMC6403023
- NLM abbreviation
- Tomography
- ISSN
- 2379-1381
- eISSN
- 2379-139X
- Grant note
- P30 CA086862 / NCI NIH HHS R01 CA169072 / NCI NIH HHS U01 CA148131 / NCI NIH HHS
- Language
- English
- Date published
- 03/2019
- Academic Unit
- Radiology; Physics and Astronomy; Radiation Oncology
- Record Identifier
- 9984313090002771
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