Comparing lesion detection performance for PET image reconstruction algorithms: A case study

M. T. Chan, R. M. Leahy, E. U. Mumcuoglu, Simon R Cherry, J. Czernin, A. Chatziioannou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We present a comparison of the performance of filtered backprojection (FBP) and maximum a posteriori (MAP) reconstruction of PET images for the task of hot lesion detection. The comparison is performed on data generated by combining FDG chest scans of normal patients (i.e., without lesions) with pseudo-Poisson `lesion' data generated from appropriately scaled sinograms collected using a separately scanned 1.25 cm3 spherical source. Scaling factors were used to achieve approximately 3:1 lesion-to-background ratios. A total of 60 `abnormal' cases were generated from their normal counterparts. A 3D non-prewhitening (NPW) observer model based on a matched filter was used to test for the presence of the lesion in the vicinity of the known lesion location. ROC curves were generated for several choices of cut-off frequency for ramp-filtered FBP and the smoothing parameter for the MAP reconstructions. The NPW detector was matched to the algorithm and smoothing parameter in each case. Choosing the optimal operating point as the maximum area under the curve (AUC) for each method resulted in an AUC = 0.86 for MAP and an AUC = 0.75 for FBP, indicating superior detection performance for MAP over FBP when using the NPW matched filter.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium & Medical Imaging Conference
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1552-1556
Number of pages5
Volume3
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) - Anaheim, CA, USA
Duration: Nov 2 1996Nov 9 1996

Other

OtherProceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3)
CityAnaheim, CA, USA
Period11/2/9611/9/96

ASJC Scopus subject areas

  • Engineering(all)

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    Chan, M. T., Leahy, R. M., Mumcuoglu, E. U., Cherry, S. R., Czernin, J., & Chatziioannou, A. (1996). Comparing lesion detection performance for PET image reconstruction algorithms: A case study. In IEEE Nuclear Science Symposium & Medical Imaging Conference (Vol. 3, pp. 1552-1556). IEEE.