Computer based classification of carotid arterial disease: a prospective assessment. | Zendy

Robin Knox | Zendy; F.M. Greene | Zendy; Kirk W. Beach | Zendy; David J. Phillips | Zendy; P M Chikos | Zendy; D. Eugene Strandness | Zendy

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Computer based classification of carotid arterial disease: a prospective assessment.

Author(s) -

Robin Knox,

F.M. Greene,

Kirk W. Beach,

David J. Phillips,

P M Chikos,

D. Eugene Strandness

Publication year - 1982

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/01.str.13.5.589

Subject(s) - medicine , carotid arteries , carotid artery disease , radiology , prospective cohort study , cardiology , waveform , doppler effect , vascular disease , minicomputer , pattern recognition (psychology) , artificial intelligence , carotid endarterectomy , quantum mechanics , voltage , astronomy , computer science , operating system , physics

A minicomputer based pattern recognition method has been used to prospectively classify the category of disease involvement of 105 carotid arteries. The system utilized spectral patterns obtained from a combined B-mode/pulsed Doppler unit. All decisions are based upon comparison of an unknown, averaged waveform with a series of vessels with known severity of disease. The variability in the computer decision as compared to arteriography is discussed.

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