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EJNMMI Research
Published in: EJNMMI Research 1/2015

Open Access 01-12-2015 | Original research

Optimisation of quantitative lung SPECT applied to mild COPD: a software phantom simulation study

Authors: Pernilla Norberg, Anna Olsson, Gudrun Alm Carlsson, Michael Sandborg, Agnetha Gustafsson

Published in: EJNMMI Research | Issue 1/2015

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Abstract

Background

The amount of inhomogeneities in a 99mTc Technegas single-photon emission computed tomography (SPECT) lung image, caused by reduced ventilation in lung regions affected by chronic obstructive pulmonary disease (COPD), is correlated to disease advancement. A quantitative analysis method, the CVT method, measuring these inhomogeneities was proposed in earlier work. To detect mild COPD, which is a difficult task, optimised parameter values are needed.

Methods

In this work, the CVT method was optimised with respect to the parameter values of acquisition, reconstruction and analysis. The ordered subset expectation maximisation (OSEM) algorithm was used for reconstructing the lung SPECT images. As a first step towards clinical application of the CVT method in detecting mild COPD, this study was based on simulated SPECT images of an advanced anthropomorphic lung software phantom including respiratory and cardiac motion, where the mild COPD lung had an overall ventilation reduction of 5%.

Results

The best separation between healthy and mild COPD lung images as determined using the CVT measure of ventilation inhomogeneity and 125 MBq 99mTc was obtained using a low-energy high-resolution collimator (LEHR) and a power 6 Butterworth post-filter with a cutoff frequency of 0.6 to 0.7 cm−1. Sixty-four reconstruction updates and a small kernel size should be used when the whole lung is analysed, and for the reduced lung a greater number of updates and a larger kernel size are needed.

Conclusions

A LEHR collimator and 125 99mTc MBq together with an optimal combination of cutoff frequency, number of updates and kernel size, gave the best result. Suboptimal selections of either cutoff frequency, number of updates and kernel size will reduce the imaging system’s ability to detect mild COPD in the lung phantom.
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Metadata
Title
Optimisation of quantitative lung SPECT applied to mild COPD: a software phantom simulation study
Authors
Pernilla Norberg
Anna Olsson
Gudrun Alm Carlsson
Michael Sandborg
Agnetha Gustafsson
Publication date
01-12-2015
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2015
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/s13550-015-0086-2

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