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Title: An investigation of filter choice for filtered back-projection reconstruction in PET

Abstract

A key parameter in the practical application of filtered back-projection (FBP), the standard clinical image reconstruction algorithm for positron emission tomography (PET), is the choice of a low-pass filter window function and its cut-off frequency. However, the filter windows and cut-off frequencies for clinical reconstruction are usually chosen empirically, based on a small sample of images and filters. By considering the features of the signal and noise spectra in a sinogram, the desired image resolution, and the signal-to-noise ratio (SNR) of the filtered sinogram, a methodology for informed selection of a filter function and cut-off frequency for FBP was investigated. Simulations of sinogram data similar to whole body or cardiac studies provided information on the signal and noise frequency-domain spectra of noisy projection data. The improvements in SNR with different filter windows and cut-off frequencies were evaluated and compared. The projection spectrum SNR measure did not prove to be an accurate indicator of subjective image quality or lesion detectability with variations in Poisson noise and image resolution.

Authors:
; ; ; ;  [1]
  1. Univ. of California, Los Angeles, CA (United States). School of Medicine
Publication Date:
Sponsoring Org.:
National Cancer Inst., Bethesda, MD (United States); USDOE, Washington, DC (United States); National Insts. of Health, Bethesda, MD (United States); California Univ., Berkeley, CA (United States)
OSTI Identifier:
649393
Report Number(s):
CONF-971147-
Journal ID: IETNAE; ISSN 0018-9499; TRN: 98:010408
DOE Contract Number:  
FC03-87ER60615
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Nuclear Science
Additional Journal Information:
Journal Volume: 45; Journal Issue: 3Pt2; Conference: Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference, Albuquerque, NM (United States), 11-13 Nov 1997; Other Information: PBD: Jun 1998
Country of Publication:
United States
Language:
English
Subject:
44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; 55 BIOLOGY AND MEDICINE, BASIC STUDIES; POSITRON COMPUTED TOMOGRAPHY; ALGORITHMS; IMAGE PROCESSING; SPATIAL RESOLUTION; SIGNAL-TO-NOISE RATIO

Citation Formats

Farquhar, T H, Chatziioannou, A, Chinn, G, Dahlbom, M, and Hoffman, E J. An investigation of filter choice for filtered back-projection reconstruction in PET. United States: N. p., 1998. Web. doi:10.1109/23.681991.
Farquhar, T H, Chatziioannou, A, Chinn, G, Dahlbom, M, & Hoffman, E J. An investigation of filter choice for filtered back-projection reconstruction in PET. United States. https://doi.org/10.1109/23.681991
Farquhar, T H, Chatziioannou, A, Chinn, G, Dahlbom, M, and Hoffman, E J. 1998. "An investigation of filter choice for filtered back-projection reconstruction in PET". United States. https://doi.org/10.1109/23.681991.
@article{osti_649393,
title = {An investigation of filter choice for filtered back-projection reconstruction in PET},
author = {Farquhar, T H and Chatziioannou, A and Chinn, G and Dahlbom, M and Hoffman, E J},
abstractNote = {A key parameter in the practical application of filtered back-projection (FBP), the standard clinical image reconstruction algorithm for positron emission tomography (PET), is the choice of a low-pass filter window function and its cut-off frequency. However, the filter windows and cut-off frequencies for clinical reconstruction are usually chosen empirically, based on a small sample of images and filters. By considering the features of the signal and noise spectra in a sinogram, the desired image resolution, and the signal-to-noise ratio (SNR) of the filtered sinogram, a methodology for informed selection of a filter function and cut-off frequency for FBP was investigated. Simulations of sinogram data similar to whole body or cardiac studies provided information on the signal and noise frequency-domain spectra of noisy projection data. The improvements in SNR with different filter windows and cut-off frequencies were evaluated and compared. The projection spectrum SNR measure did not prove to be an accurate indicator of subjective image quality or lesion detectability with variations in Poisson noise and image resolution.},
doi = {10.1109/23.681991},
url = {https://www.osti.gov/biblio/649393}, journal = {IEEE Transactions on Nuclear Science},
number = 3Pt2,
volume = 45,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 1998},
month = {Mon Jun 01 00:00:00 EDT 1998}
}