Fixated and Not Fixated Regions of Mammograms: A Higher-Order Statistical Analysis of Visual Search Behavior.
Rationale and Objectives: Visual search is an inhomogeneous yet efficient sampling process accomplished by the saccades and the central (foveal) vision. Areas that attract the central vision have been studied for errors in interpretation of medical imaging. In this study, we extend existing visual s...
| Publicado en: | Academic Radiology Vol. 24; no. 4; pp. 442 - 456 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Apr2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121540375&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121540375 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10766332 T4X jtl: Academic Radiology issn: 10766332 maglogo: N pubinfo: dt: Apr2017 vid: 24 iid: 4 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 121540375 121540375 NLM28139426 121540375 10.1016/j.acra.2016.11.020 NLM28139426 121540375 ppf: 442 ppct: 14 formats: tig: atl: Fixated and Not Fixated Regions of Mammograms: A Higher-Order Statistical Analysis of Visual Search Behavior. aug: au: Mall, Suneeta Brennan, Patrick Mello-Thoms, Claudia affil: Medical Image Perception and Optimization Group (MIOPeG), Faculty of Health Sciences, University of Sydney, Lidcombe, NSW 2141, Australia sug: subj: Breast Neoplasms Diagnosis Visual Perception Physiology Breast Mammography Methods Diagnostic Errors Prevention and Control Observer Bias Female Australia Diagnostic Errors Psychosocial Factors Retina Physiology Human Female ab: Rationale and Objectives: Visual search is an inhomogeneous yet efficient sampling process accomplished by the saccades and the central (foveal) vision. Areas that attract the central vision have been studied for errors in interpretation of medical imaging. In this study, we extend existing visual search studies to understand what characterizes areas that receive direct visual attention and elicit a mark by the radiologist (True and False Positive decisions) from those that elicit a mark but were captured by the peripheral vision. We also investigate if there are any differences between these areas and those that are never fixated by radiologists.Materials and Methods: Eight radiologists participated in this fully crossed multi-reader multi-case visual search study of digital mammography (DM) involving 120 two-view cases (59 cancers). From these DM images, 3 types of areas, namely Fixated Clusters (FC), Marked Peripherally Fixated Clusters (MPFC) and Never Fixated Clusters (NFC), were extracted and analysed using statistical information theory (in the form of third and fourth-order cumulants and polyspectrum [specifically bispectrum and trispectrum]) in addition to traditional second-order statistics (in the form of power spectrum) and other nonspectral features to characterize these types of areas.Results: Our results suggest that energy profiles of FC, MPFC, and NFC areas are distinct. We found evidence that energy profiles and dwell time of these areas influence radiologists' decisions (and confidence in such decisions). We also noted that foveated areas are selected on the basis of being most informative.Conclusion: We show that properties of these areas influence radiologists' decisions and their confidence in the decisions made. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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