Contributions to ideal observer SNRs in propagation-based X-ray phase-contrast imaging

Mark A. Anastasio, Cheng Ying Chou, Adam M. Zysk, Jovan G. Brankov

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


Propagation-based X-ray phase-contrast imaging permits the visualization of tissues that have very similar X-ray absorption properties and may benefit a variety of biomedical imaging applications. Unlike conventional radiographic contrast that is related to the projected absorption properties of tissue, image contrast in phase-contrast radiographs contains contributions from absorption-contrast arid phase-contrast. In this work, we develop a general theoretical framework for assessing the contributions of these contrast mechanisms to signal detectability measures in propagation-based X-ray phase-contrast imaging. Specifically, concepts from signal detection theory are utilized to analyze the contributions of phase- and absorption-contrast to an ideal observer figure of merit for a signal-known-exactly/background-known exactly detection task.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2010
Subtitle of host publicationPhysics of Medical Imaging
EditionPART 1
StatePublished - 2010
Externally publishedYes
EventMedical Imaging 2010: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 15 2010Feb 18 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 1
ISSN (Print)1605-7422


OtherMedical Imaging 2010: Physics of Medical Imaging
Country/TerritoryUnited States
CitySan Diego, CA


  • Image quality
  • Imaging system optimization
  • X-ray phase-contrast imaging

ASJC Scopus subject areas

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


Dive into the research topics of 'Contributions to ideal observer SNRs in propagation-based X-ray phase-contrast imaging'. Together they form a unique fingerprint.

Cite this