NDLI: Direct reconstruction of CT-based attenuation correction images for PET with cluster-based penalties

Content Provider	IEEE Xplore Digital Library
Author	Soo Mee Kim Alessio, A.M. De Man, B. Asma, E. Kinahan, P.E.
Copyright Year	2013
Description	Author affiliation: Gen. Electr. Global Res. Center, Functional Imaging Lab., Niskayuna, NY, USA (Asma, E.) \|\| CT Syst. & Applic. Lab., Gen. Electr. Global Res. Center, Niskayuna, NY, USA (De Man, B.) \|\| Dept. of Radiol., Univ. of Washington, Seattle, WA, USA (Soo Mee Kim; Alessio, A.M.; Kinahan, P.E.)
Abstract	Extremely low-dose CT acquisitions for the purpose of PET attenuation correction will have a high level of noise and biasing artifacts due to factors such as photon starvation. This work explores a priori knowledge appropriate for CT iterative image reconstruction for PET attenuation correction. We investigate the maximum a posteriori (MAP) framework with cluster-based, multinomial priors for the direct reconstruction of the PET attenuation map. The objective function for direct iterative attenuation map reconstruction was modeled as a Poisson log-likelihood with prior terms consisting of quadratic (Q) and mixture (M) distributions. The attenuation map is assumed to have values in 4 clusters: air+background, lung, soft tissue, and bone. Under this assumption, the MP was a mixture probability density function consisting of one exponential and three Gaussian distributions. The relative proportion of each cluster was jointly estimated during each voxel update of direct iterative coordinate decent (dICD) method. Noise-free data were generated from NCAT phantom and Poisson noise was added. Reconstruction with FBP (ramp filter) was performed on the noise-free (ground truth) and noisy data. For the noisy data, dICD reconstruction was performed with the combination of different prior strength parameters (β and γ) of Q- and M-penalties. The combined quadratic and mixture penalties reduces the RMSE by 18.7% compared to post-smoothed iterative reconstruction and only 0.7% compared to quadratic alone. For direct PET attenuation map reconstruction from ultra-low dose CT acquisitions, the combination of quadratic and mixture priors offers regularization of both variance and bias and is a potential method to derive attenuation maps with negligible patient dose. However, the small improvement in quantitative accuracy relative to the substantial increase in algorithm complexity does not currently justify the use of mixture-based PET attenuation priors for reconstruction of CT images for PET attenuation correction.
Starting Page	1
Ending Page	4
File Size	1220623
Page Count	4
File Format	PDF
e-ISBN	9781479905348
DOI	10.1109/NSSMIC.2013.6829245
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Attenuation Computed tomography Bones Image reconstruction Positron emission tomography Electronic mail Handheld computers
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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