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Title: Image properties of list mode likelihood reconstruction for a rectangular positron emission mammography with DOI measurements

Abstract

A positron emission mammography scanner is under development at our Laboratory. The tomograph has a rectangular geometry consisting of four banks of detector modules. For each detector, the system can measure the depth of interaction information inside the crystal. The rectangular geometry leads to irregular radial and angular sampling and spatially variant sensitivity that are different from conventional PET systems. Therefore, it is of importance to study the image properties of the reconstructions. We adapted the theoretical analysis that we had developed for conventional PET systems to the list mode likelihood reconstruction for this tomograph. The local impulse response and covariance of the reconstruction can be easily computed using FFT. These theoretical results are also used with computer observer models to compute the signal-to-noise ratio for lesion detection. The analysis reveals the spatially variant resolution and noise properties of the list mode likelihood reconstruction. The theoretical predictions are in good agreement with Monte Carlo results.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab., CA (US)
Sponsoring Org.:
USDOE Director, Office of Science. Office of Biological and Environmental Research. Medical Sciences Division; National Institutes of Health (US)
OSTI Identifier:
783471
Report Number(s):
LBNL-46968
R&D Project: 860539; TRN: US0104000
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Conference
Resource Relation:
Conference: IEEE Nuclear Science Symposium and Medical Imaging Conference, Lyon (FR), 10/15/2000--10/20/2000; Other Information: PBD: 1 Oct 2000
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; DETECTION; RESOLUTION; SENSITIVITY; SIGNAL-TO-NOISE RATIO; POSITRON COMPUTED TOMOGRAPHY; MAMMARY GLANDS; NEOPLASMS; DESIGN; IMAGE PROPERTIES POSITRON EMISSION MAMMOGRAPHY

Citation Formats

Qi, Jinyi, Klein, Gregory J, and Huesman, Ronald H. Image properties of list mode likelihood reconstruction for a rectangular positron emission mammography with DOI measurements. United States: N. p., 2000. Web.
Qi, Jinyi, Klein, Gregory J, & Huesman, Ronald H. Image properties of list mode likelihood reconstruction for a rectangular positron emission mammography with DOI measurements. United States.
Qi, Jinyi, Klein, Gregory J, and Huesman, Ronald H. Sun . "Image properties of list mode likelihood reconstruction for a rectangular positron emission mammography with DOI measurements". United States. https://www.osti.gov/servlets/purl/783471.
@article{osti_783471,
title = {Image properties of list mode likelihood reconstruction for a rectangular positron emission mammography with DOI measurements},
author = {Qi, Jinyi and Klein, Gregory J and Huesman, Ronald H},
abstractNote = {A positron emission mammography scanner is under development at our Laboratory. The tomograph has a rectangular geometry consisting of four banks of detector modules. For each detector, the system can measure the depth of interaction information inside the crystal. The rectangular geometry leads to irregular radial and angular sampling and spatially variant sensitivity that are different from conventional PET systems. Therefore, it is of importance to study the image properties of the reconstructions. We adapted the theoretical analysis that we had developed for conventional PET systems to the list mode likelihood reconstruction for this tomograph. The local impulse response and covariance of the reconstruction can be easily computed using FFT. These theoretical results are also used with computer observer models to compute the signal-to-noise ratio for lesion detection. The analysis reveals the spatially variant resolution and noise properties of the list mode likelihood reconstruction. The theoretical predictions are in good agreement with Monte Carlo results.},
doi = {},
url = {https://www.osti.gov/biblio/783471}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {10}
}

Conference:
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