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Furthermore, the signal to noise ratio (SNR) for each sphere under all scanning conditions and image reconstructions will be measured and correlated with the lesion observability of the human observer study.
A human observer study was performed to determine the smallest observable sphere for each scanning condition.
In order to quantify lesion detectability, a human observer study was conducted.
The purpose is to correlate the human observer study with the measured parameter SNR to validate the Rose criterion [13].
This table lists which was the smallest detected sphere from the human observer study for each scan and image reconstruction condition and elucidates some expected results.
In the human observer study, detection accuracy of hypometabolic regions was significantly improved using A-MAP, compared to post-smoothed ML (P < 0.004).
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Results [21] used a mixture of normal patients and simulated hot spots to enable efficient observer studies.
Observer studies require a large number of datasets and extensive reviewing time by nuclear medicine physicians and/or radiologists.
Yet it provides the same image quality as iterative reconstruction algorithms did, in terms of abnormality detectability by observer studies.
Observer studies of the CAD systems show that radiologists often have an inappropriate level of trust in the CAD system.
Estimation of ROC curves and their associated indices from experimental data can be problematic, especially in multireader, multicase (MRMC) observer studies.
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