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Title: Optimization of PET system design for lesion detection

Abstract

Traditionally, the figures of merit used in designing a PET scanner are spatial resolution, noise equivalent count rate, noise equivalent sensitivity, etc. These measures, however, do not directly reflect the lesion detectability using the PET scanner. Here we propose to optimize PET scanner design directly for lesion detection. The signal-to-noise ratio (SNR) of lesion detection can be easily computed using the theoretical expressions that we have previously derived. Because no time consuming Monte Carlo simulation is needed, the theoretical expressions allow evaluation of a large range of parameters. The PET system parameters can then be chosen to achieve the maximum SNR for lesion detection. The simulation study shown in this paper was focused a single ring PET scanner without depth of interaction measurement. Randoms and scatters were also ignored.

Authors:
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Director, Office of Science. Office of Biological and Environmental Research. Medical Sciences Division; National Institutes of Health (US)
OSTI Identifier:
783472
Report Number(s):
LBNL-46969
R&D Project: 860539; TRN: US0104001
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Conference
Resource Relation:
Conference: IEEE Nuclear Science Symposium and Medical Imaging, Lyon (FR), 10/15/2000--10/20/2000; Other Information: PBD: 13 Oct 2000
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; DESIGN; DETECTION; SENSITIVITY; SIGNAL-TO-NOISE RATIO; SPATIAL RESOLUTION; NEOPLASMS; POSITRON COMPUTED TOMOGRAPHY; PARAMETRIC ANALYSIS; PET DESIGN LESION DETECTION

Citation Formats

Qi, Jinyi. Optimization of PET system design for lesion detection. United States: N. p., 2000. Web.
Qi, Jinyi. Optimization of PET system design for lesion detection. United States.
Qi, Jinyi. 2000. "Optimization of PET system design for lesion detection". United States. https://www.osti.gov/servlets/purl/783472.
@article{osti_783472,
title = {Optimization of PET system design for lesion detection},
author = {Qi, Jinyi},
abstractNote = {Traditionally, the figures of merit used in designing a PET scanner are spatial resolution, noise equivalent count rate, noise equivalent sensitivity, etc. These measures, however, do not directly reflect the lesion detectability using the PET scanner. Here we propose to optimize PET scanner design directly for lesion detection. The signal-to-noise ratio (SNR) of lesion detection can be easily computed using the theoretical expressions that we have previously derived. Because no time consuming Monte Carlo simulation is needed, the theoretical expressions allow evaluation of a large range of parameters. The PET system parameters can then be chosen to achieve the maximum SNR for lesion detection. The simulation study shown in this paper was focused a single ring PET scanner without depth of interaction measurement. Randoms and scatters were also ignored.},
doi = {},
url = {https://www.osti.gov/biblio/783472}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 13 00:00:00 EDT 2000},
month = {Fri Oct 13 00:00:00 EDT 2000}
}

Conference:
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