Interactive, Visually-Oriented Computer-Assisted Scoring in Support of Doctors’ Reading of Acute Stroke NCCT Images

  • Shieh, Yao Y. (PI)
  • Chang, Chien Hung (CoPI)
  • Lee, Tsong-Hai (CoPI)
  • Wan, Yung-Liang (CoPI)
  • Wong, Ho Fai (CoPI)

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details


Non-contrast CT (NCCT) imaging plays an important role in the diagnosis and prognosis of acute stroke. Tissue plasminogen activator (tPA) is the only FDA approved treatment for ischemic strokes. . Determining whether or not to administer tPA based on NCCT within a short time frame is a challenging task. We have developed a computer-assisted ASPECTS scoring system, built upon our previous stand-alone, automated scoring system, with added components that allow a synergistic physician-computer interpretation. Our system centers on two innovative ideas: (1) allowing doctors to make necessary interventions at critical points to achieve physicisn-computer joint decision making, and (2) visually oriented interaction that adapts to a physician’s intuitive way of information processing when reading medical images. The preliminary results were reported in the 12th IASTED International Conference Biomedical Engineering (BioMed 2016), February 15 - 16, 2016 Innsbruck, Austria. We are currently conducting the final performance evaluation based on a large dataset of over 50 subjects. It is a very time consuming task because it involves a number of medical doctors from the Department of Neurology and the Department of Radiology. We expect to submit the study results to Journals for publication by the end of July, 2017.

Project IDs

Project ID:PB10408-5720
External Project ID:MOST104-2221-E182-022
Effective start/end date01/08/1531/07/16


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