Estimating the minimum SNR necessary for object detection in the projection domain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2022
Subtitle of host publicationPhysics of Medical Imaging
EditorsWei Zhao, Lifeng Yu
PublisherSPIE
ISBN (Electronic)9781510649378
DOIs
StatePublished - 2022
EventMedical Imaging 2022: Physics of Medical Imaging - Virtual, Online
Duration: Mar 21 2022Mar 27 2022

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12031
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2022: Physics of Medical Imaging
CityVirtual, Online
Period3/21/223/27/22

Keywords

  • deep learning reconstruction
  • iterative reconstruction
  • object detection
  • Rose criterion

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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