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Publisher: Elsevier BV
Journal: Procedia Computer Science
Languages: English
Types: Article
Subjects: Z727

Classified by OpenAIRE into

mesheuropmc: genetic structures, eye diseases, health services administration
ACM Ref: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
In this paper a new approach is proposed to track the perceptual behaviour of radiologists when they examine mammographic images displayed on large dual clinical monitors. Zooming and panning are inevitably performed by the radiologist to examine such large images by using the DICOM viewing software. Such image manipulating movements on the target displays makes eye tracking techniques difficult to perform and also the size of the dual clinical monitors makes existing eye tracking techniques generally inadequate. Hence a method using the Smart Eye Pro eye tracker and optical character recognition techniques was designed to relate the recorded radiologists’ eye gaze behaviour on the monitors to the actual zoomed and panned medical image areas. This then allows clinical studies involving radiologists interacting with these mammographic images to be successfully carried out.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Chen, Y., 2010. An investigation of workstation image manipulation usage when examining FFDM images. Breast Cancer Research, 3(12). 2. Phillips, P., 2012. Sub Screen Capture Tool 3. Schantz, H. F., 1982. The history of OCR, optical character recognition. In: Recognition Technologies Users Association. Manchester 4. Smart Eye, 2016. Smart Eye Pro. [Online] Available at: http://smarteye.se/products/smart-eye-pro/ [Accessed May 2016].
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