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Journal of Digital Imaging

, Volume 28, Issue 3, pp 259–263 | Cite as

A Novel Technology for Automatically Obtaining Digital Facial Photographs Near-Simultaneously with Portable Radiographs

  • Senthil Ramamurthy
  • Pamela Bhatti
  • Farasat Munir
  • Timothy Ng
  • Kimberly Applegate
  • Srini TridandapaniEmail author
Article

Abstract

Our objective is to design, implement, and phantom-test a device to automatically obtain point-of-care patient photographs along with portable radiographs. Such photographs could help with detection of wrong-patient errors. Our device consists of a camera controller (CC) and a camera that can be mounted on a portable conventional radiography (CR) machine. Radiation from the CR machine triggers an identification module (IM) embedded in the CR cassette. The IM then sends the cassette identifier—Plate_ID—to the CC along with a trigger to activate the camera. This trigger ensures simultaneous acquisition of radiograph and photograph, and the Plate_ID along with a time stamp ensures binding of the two images. We conducted phantom tests to determine if clinical portable radiography exposure settings (90 to 120 kVp and exposure time ranging from 0.63 to 8.0 ms) are sufficient to trigger the IM. Phantom experiments demonstrate acceptable sensor performance for clinical portable radiography exposures. Simultaneous acquisition of photographs is achieved by integrating a low-cost identification module containing a scintillator-detector into the radiographic cassette. Incident X-rays activate the scintillator-detector triggering photograph acquisition by a camera controller.

Keywords

Patient identification Electronic medical records Medical imaging Medical errors Digital camera DICOM PACS 

Notes

Acknowledgments

We acknowledge support from PHS Grant (UL1 RR025008, KL2 RF025009) from the Clinical and Translational Science Award program, National Institutes of Health, National Center for Research Resources and from Award Number K23EB013221 from the National Institute of Biomedical Imaging And Bioengineering, the National Center for Advancing Translational Sciences under Award Number UL1TR000454, KL TR000455, and the National Science Foundation CAREER Award Number ECCS-1055801. Srini Tridandapani, PhD MD, was supported in part by the PHS Grant (UL1 RR025008, KL2 RF025009) from the Clinical and Translational Science Award Program, National Institutes of Health, National Center for Research Resources and in part by Award Number K23EB013221 from the National Institute of Biomedical Imaging and Bioengineering. Pamela Bhatti, PhD, was supported in part by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR000454, KL TR000455, and the National Science Foundation CAREER Award Number ECCS-1055801.

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Copyright information

© Society for Imaging Informatics in Medicine 2014

Authors and Affiliations

  • Senthil Ramamurthy
    • 1
    • 2
  • Pamela Bhatti
    • 2
  • Farasat Munir
    • 1
  • Timothy Ng
    • 1
  • Kimberly Applegate
    • 1
  • Srini Tridandapani
    • 1
    • 2
    Email author
  1. 1.Department of Radiology and Imaging Sciences, Emory University School of MedicineWinship Cancer InstituteAtlantaUSA
  2. 2.School of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlantaUSA

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