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Title: Spectral analysis for evaluation of myocardial tracers for medical imaging

Abstract

Kinetic analysis of dynamic tracer data is performed with the goal of evaluating myocardial radiotracers for cardiac nuclear medicine imaging. Data from experiments utilizing the isolated rabbit heart model are acquired by sampling the venous blood after introduction of a tracer of interest and a reference tracer. We have taken the approach that the kinetics are properly characterized by an impulse response function which describes the difference between the reference molecule (which does not leave the vasculature) and the molecule of interest which is transported across the capillary boundary and is made available to the cell. Using this formalism we can model the appearance of the tracer of interest in the venous output of the heart as a convolution of the appearance of the reference tracer with the impulse response. In this work we parameterize the impulse response function as the sum of a large number of exponential functions whose predetermined decay constants form a spectrum, and each is required only to have a nonnegative coefficient. This approach, called spectral analysis, has the advantage that it allows conventional compartmental analysis without prior knowledge of the number of compartments which the physiology may require or which the data will support.

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:
771938
Report Number(s):
LBNL-46940
R&D Project: 860539; TRN: US0100630
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Conference
Resource Relation:
Conference: 2000 IEEE Nuclear Science Symposium and Medical Imaging Conference, Lyon (FR), 10/15/2000--10/20/2000; Other Information: PBD: 11 Oct 2000
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; BLOOD; COMPARTMENTS; DECAY; EVALUATION; KINETICS; NUCLEAR MEDICINE; PHYSIOLOGY; RABBITS; RESPONSE FUNCTIONS; SAMPLING

Citation Formats

Huesman, Ronald H., Reutter, Bryan W., and Marshall, Robert C.. Spectral analysis for evaluation of myocardial tracers for medical imaging. United States: N. p., 2000. Web.
Huesman, Ronald H., Reutter, Bryan W., & Marshall, Robert C.. Spectral analysis for evaluation of myocardial tracers for medical imaging. United States.
Huesman, Ronald H., Reutter, Bryan W., and Marshall, Robert C.. Wed . "Spectral analysis for evaluation of myocardial tracers for medical imaging". United States. https://www.osti.gov/servlets/purl/771938.
@article{osti_771938,
title = {Spectral analysis for evaluation of myocardial tracers for medical imaging},
author = {Huesman, Ronald H. and Reutter, Bryan W. and Marshall, Robert C.},
abstractNote = {Kinetic analysis of dynamic tracer data is performed with the goal of evaluating myocardial radiotracers for cardiac nuclear medicine imaging. Data from experiments utilizing the isolated rabbit heart model are acquired by sampling the venous blood after introduction of a tracer of interest and a reference tracer. We have taken the approach that the kinetics are properly characterized by an impulse response function which describes the difference between the reference molecule (which does not leave the vasculature) and the molecule of interest which is transported across the capillary boundary and is made available to the cell. Using this formalism we can model the appearance of the tracer of interest in the venous output of the heart as a convolution of the appearance of the reference tracer with the impulse response. In this work we parameterize the impulse response function as the sum of a large number of exponential functions whose predetermined decay constants form a spectrum, and each is required only to have a nonnegative coefficient. This approach, called spectral analysis, has the advantage that it allows conventional compartmental analysis without prior knowledge of the number of compartments which the physiology may require or which the data will support.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 11 00:00:00 EDT 2000},
month = {Wed Oct 11 00:00:00 EDT 2000}
}

Conference:
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