Perception-driven IT-CADe analysis for the detection of masses in screening mammography: Initial investigation

Georgia D. Tourassi, MacIej A. Mazurowski, Elizabeth A. Krupinski

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

1 Scopus citations


We have previously reported an interactive information-theoretic CADe (IT-CADe) system for the detection of masses in screening mammograms. The system operates in either traditional static mode or in interactive mode whenever the user requests a second opinion. In this study we report preliminary investigation of a new paradigm of clinical integration, guided by the user's eye-gazing and reporting patterns. An observer study was conducted in which 6 radiologists evaluated 20 mammographic cases while wearing a head-mounted eye-tracking device. For each radiologistreported location, eye-gazing data were collected. Image locations that attracted prolonged dwelling (>1000msec) but were not reported were also recorded. Fixed size regions of interest (ROIs) were extracted around all above locations and analyzed using the IT-CADe system. Preliminary analysis showed that IT-CADe correctly confirmed 100% of reported true mass locations while eliminating 12.5% of the reported false positive locations. For unreported locations that attracted long dwelling, IT-CADe identified 4/6 false negative errors (i.e., errors of decision) while overcalling 8/84 TN decisions. Finally, for missed true masses that attracted short (i.e., errors of recognition) or no dwelling at all (i.e., errors of search), IT-CADe detected 5/8 of them. These results suggest that IT-CADe customization to the user's eye-gazing and reporting pattern could potentially help delineate the various sources of diagnostic error (search, recognition, decision) for each individual user and provide targeted decision support, thus improving the human-CAD synergy.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2010
Subtitle of host publicationComputer-Aided Diagnosis
EditorsRonald M. Summers, Nico Karssemeijer
ISBN (Electronic)9780819480255
StatePublished - 2010
EventMedical Imaging 2010: Computer-Aided Diagnosis - San Diego, United States
Duration: Feb 16 2010Feb 18 2010

Publication series

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


OtherMedical Imaging 2010: Computer-Aided Diagnosis
Country/TerritoryUnited States
CitySan Diego


  • detection
  • human-computer interaction
  • information theory
  • mammography
  • observer study

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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