An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care

Yao Shieh; Mengkai Shieh; Chien Hung Chang; Scott Goodwin

doi:10.2316/P.2016.832-036

An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care

Yao Shieh
, Mengkai Shieh
, Chien Hung Chang
, Scott Goodwin

Department of Electrical Engineering

University of California at Irvine
NewYork-Presbyterian Brooklyn Methodist Hospital
Chang Gung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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 are very promising. The next step of our research is to evaluate the effect based on a large data set on scoring accuracy as well as productivity in a stroke center.

Original language	English
Title of host publication	Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016
Publisher	Acta Press
Pages	109-116
Number of pages	8
ISBN (Electronic)	9780889869813
DOIs	https://doi.org/10.2316/P.2016.832-036
State	Published - 2016
Event	12th IASTED International Conference on Biomedical Engineering, BioMed 2016 - Innsbruck, Austria Duration: 15 02 2016 → 16 02 2016

Publication series

Name	Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016

Conference

Conference	12th IASTED International Conference on Biomedical Engineering, BioMed 2016
Country/Territory	Austria
City	Innsbruck
Period	15/02/16 → 16/02/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

ASPECTS
Acute Stroke
Computed Tomography (CT)
Computer-assisted Decision Support System
Integrated Biomedical Image Analysis
Neuroimaging
Pattern Recognition

Access to Document

10.2316/P.2016.832-036

Cite this

Shieh, Y., Shieh, M., Chang, C. H., & Goodwin, S. (2016). An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care. In Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016 (pp. 109-116). (Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016). Acta Press. https://doi.org/10.2316/P.2016.832-036

Shieh, Yao ; Shieh, Mengkai ; Chang, Chien Hung et al. / An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care. Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016. Acta Press, 2016. pp. 109-116 (Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016).

@inproceedings{e28d16c0c82942b0a1d61f79e95426e2,

title = "An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care",

abstract = "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 are very promising. The next step of our research is to evaluate the effect based on a large data set on scoring accuracy as well as productivity in a stroke center.",

keywords = "ASPECTS, Acute Stroke, Computed Tomography (CT), Computer-assisted Decision Support System, Integrated Biomedical Image Analysis, Neuroimaging, Pattern Recognition",

author = "Yao Shieh and Mengkai Shieh and Chang, \{Chien Hung\} and Scott Goodwin",

year = "2016",

doi = "10.2316/P.2016.832-036",

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series = "Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016",

publisher = "Acta Press",

pages = "109--116",

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note = "12th IASTED International Conference on Biomedical Engineering, BioMed 2016 ; Conference date: 15-02-2016 Through 16-02-2016",

}

Shieh, Y, Shieh, M, Chang, CH & Goodwin, S 2016, An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care. in Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016. Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016, Acta Press, pp. 109-116, 12th IASTED International Conference on Biomedical Engineering, BioMed 2016, Innsbruck, Austria, 15/02/16. https://doi.org/10.2316/P.2016.832-036

An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care. / Shieh, Yao; Shieh, Mengkai; Chang, Chien Hung et al.
Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016. Acta Press, 2016. p. 109-116 (Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Goodwin, Scott

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N2 - 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 are very promising. The next step of our research is to evaluate the effect based on a large data set on scoring accuracy as well as productivity in a stroke center.

AB - 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 are very promising. The next step of our research is to evaluate the effect based on a large data set on scoring accuracy as well as productivity in a stroke center.

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Shieh Y, Shieh M, Chang CH, Goodwin S. An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care. In Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016. Acta Press. 2016. p. 109-116. (Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016). doi: 10.2316/P.2016.832-036

An interactive, visually-oriented computer-assisted aspects scoring system for acute stroke care

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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