NDLI: An investigation of reconstruction strategies for mediastinal lesion detection using hybrid Ga-67 SPECT images

Content Provider	IEEE Xplore Digital Library
Author	Pereira, N.F. Gifford, H.C. Farncombe, T.H. Smyczynski, M. King, M.A.
Copyright Year	2005
Description	Author affiliation: Dept. of Phys., Massachusetts Univ., Amherst, MA (Pereira, N.F.; Gifford, H.C.)
Abstract	Ga-67 SPECT studies are especially useful in the pretreatment staging and post-treatment follow-up of patients with Hodgkin's and non-Hodgkin's lymphoma. Ga-67 is however a particularly challenging radionuclide for imaging. Patient specific background variability, which manifests itself as structured noise, can further impact lesion detection accuracy. A number of MCAT phantom studies with simulated lesions and idealized source distributions have been done to study the impact of compensation strategies on lesion detection accuracy. However, to more accurately assess the impact of various correction strategies on lesion detection a study employing actual clinical images with true clinical distributions is of interest. The approach we chose for conducting such an investigation was performing LROC studies employing hybrid images. Hybrid images are normal Ga-67 studies with their projection data modified by the addition of Monte Carlo simulated lesions. Our datasets consist of clinically normal Ga-67 SPECT/CT acquisitions obtained using the GE-VG dual detector SPECT/CT camera. After determining a target image contrast using human observers, we conducted pilot LROC studies to determine the optimal parameters for the reconstruction methods using human observers. Herein we report on the optimization for the forthcoming comparison of attenuation compensation, scatter compensation, and detector resolution compensation strategies used with the RBI reconstruction method and FBP reconstruction
Starting Page	4
Ending Page	1694
File Size	308687
Page Count	1691
File Format	PDF
ISBN	0780392213
ISSN	10957863
DOI	10.1109/NSSMIC.2005.1596645
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-23
Publisher Place	Puerto Rico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Lesions Computed tomography Detectors Humans Reconstruction algorithms Background noise Imaging phantoms Monte Carlo methods Cameras
Content Type	Text
Resource Type	Article

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