NDLI: Numerical observer study of MAP-OSEM regularization methods with anatomical priors for lesion detection in /sup 67/Ga images

Content Provider	IEEE Xplore Digital Library
Author	Bruyant, P.P. Gifford, H.C. Gindi, G. King, M.A.
Copyright Year	1963
Abstract	With the increasing number of multimodality systems, registered anatomical data is becoming available for use as patient-specific attenuation maps and anatomical priors in iterative reconstruction. The goal of this work is to investigate whether the introduction of anatomical information in MAP-EM reconstruction can improve lesion detection in /sup 67/Ga images of the chest region. Specifically we investigated three hypotheses. The first hypothesis was that use of information on organ boundaries in MAP-EM will increase the accuracy of tumor detection. The second hypothesis was that use of lesion boundaries in addition to organ boundaries will increase the detection accuracy of lesions when the lesion actually has an elevated concentration of activity compared to background. The third hypothesis was that use of the organ boundary prior in MAP-EM results in improved lesion detection accuracy for lesions with an elevated activity concentration even when the lesion boundary prior was also used for sites where there was not an elevated activity concentration. These hypotheses were investigated using Monte Carlo simulated projections of the mathematical cardiac-torso (MCAT) phantom. The organ and lesion boundaries for use as anatomical priors were obtained from segmentation of the original MCAT activity slices. The priors were used to determine voxel inclusion in the neighborhood of a voxel for a quadratic smoothing prior employed in De Pierro's MAP-OSEM reconstruction algorithm. Two contrasts for lesion/background were investigated, 12/1, and 22.5/1. Three values for /spl beta/, the parameter controlling the weighting of the prior, were also investigated. A numerical observer was used to determine the average lesion detection accuracy for multiple sites throughout the mediastinum. The area under the ROC curve (AUC) for the numerical observer was used as the metric for detection accuracy. No evidence was observed in support of the first hypothesis. That is, use of the anatomical prior including just organ boundaries did not tend to increase the AUC over that of not using priors. Evidence was found in support of the second hypothesis however. That is, especially for the lower contrast lesions, the AUC increased when the lesion boundary was included in the prior. Finally, evidence was also observed in support of the third hypothesis. That is, again especially at the lower contrast, the use of the anatomical prior increased detection accuracy for lesions with increased uptake even when the prior was also used for matching sites with no elevation in uptake. Thus, use of the anatomical prior for lesion boundary when there was no elevated lesion uptake did not tend to increase the false-positive rate as one might have guessed would happen.
Sponsorship	IEEE Nuclear and Plasma Sciences Society Computer Applications in Nuclear and Plasma Sciences (CANPS) Lawrence Berkeley Lab. Lawrence Livermore Nat. Lab. APS College of William and Mary Continuous Electron Beam Accelerator Facility NASA Defence Nuclear Agency Sandia National Laboratories Jet Propulsion Laboratory Brookhaven Nat. Lab. Lawrence Livermore Nat. Lab IEEE/NPPS Radiat. Effects Committee Defence Nuclear Agency/DoD Sandia National Laboratories/DOE Jet Propulsion Laboratory/NASA Phillips Lab./DoD
Starting Page	193
Ending Page	197
Page Count	5
File Size	242241
File Format	PDF
ISSN	00189499
Volume Number	51
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lesions Image reconstruction Iterative methods Tumors Cancer Maximum likelihood estimation Attenuation Monte Carlo methods Imaging phantoms Smoothing methods
Content Type	Text
Resource Type	Article
Subject	Nuclear and High Energy Physics Electrical and Electronic Engineering Nuclear Energy and Engineering

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Numerical observer study of MAP-EM regularization methods with anatomical priors for lesion detection in /sup 67/Ga images

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