@inproceedings{7a8ea642c1d8440c96d665bc2194eaa8,
title = "Estimating the minimum SNR necessary for object detection in the projection domain",
abstract = "We estimate the minimum SNR necessary for object detection in the projection domain. We assume there is a set of objects O and we study an ideal observer that sequentially compares each member of O to the null hypothesis. This reduces to one-dimensional signal detection between two Gaussians. We find that for a search task of a circular 6 mm lesion in a region of interest 60 mm by 60 mm by 10 slices, and for a required sensitivity of 80% and specificity of 80%, the minimum required projection SNR is 5.1, a finding reminiscent of the Rose criterion.",
keywords = "Rose criterion, deep learning reconstruction, iterative reconstruction, object detection",
author = "Hsieh, {Scott S.} and Lifeng Yu and Huber, {Nathan R.} and Shuai Leng and McCollough, {Cynthia H.}",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; Medical Imaging 2022: Physics of Medical Imaging ; Conference date: 21-03-2022 Through 27-03-2022",
year = "2022",
doi = "10.1117/12.2611564",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Wei Zhao and Lifeng Yu",
booktitle = "Medical Imaging 2022",
}