Neuroinformatics

, 6:279

Learning Vector Quantization Neural Networks Improve Accuracy of Transcranial Color-coded Duplex Sonography in Detection of Middle Cerebral Artery Spasm—Preliminary Report

  • Miroslaw Swiercz
  • Jan Kochanowicz
  • John Weigele
  • Robert Hurst
  • David S. Liebeskind
  • Zenon Mariak
  • Elias R. Melhem
  • Jaroslaw Krejza
Article

DOI: 10.1007/s12021-008-9023-0

Cite this article as:
Swiercz, M., Kochanowicz, J., Weigele, J. et al. Neuroinform (2008) 6: 279. doi:10.1007/s12021-008-9023-0

Abstract

To determine the performance of an artificial neural network in transcranial color-coded duplex sonography (TCCS) diagnosis of middle cerebral artery (MCA) spasm. TCCS was prospectively acquired within 2 h prior to routine cerebral angiography in 100 consecutive patients (54M:46F, median age 50 years). Angiographic MCA vasospasm was classified as mild (<25% of vessel caliber reduction), moderate (25–50%), or severe (>50%). A Learning Vector Quantization neural network classified MCA spasm based on TCCS peak-systolic, mean, and end-diastolic velocity data. During a four-class discrimination task, accurate classification by the network ranged from 64.9% to 72.3%, depending on the number of neurons in the Kohonen layer. Accurate classification of vasospasm ranged from 79.6% to 87.6%, with an accuracy of 84.7% to 92.1% for the detection of moderate-to-severe vasospasm. An artificial neural network may increase the accuracy of TCCS in diagnosis of MCA spasm.

Keywords

UltrasoundCerebral blood vesselsVasospasmArtificial neural networksTranscranial DopplerDiagnosisBlood velocityVelocimetryBrain arteriesIschemiaStroke

Copyright information

© Humana Press 2008

Authors and Affiliations

  • Miroslaw Swiercz
    • 1
  • Jan Kochanowicz
    • 2
  • John Weigele
    • 3
  • Robert Hurst
    • 3
  • David S. Liebeskind
    • 4
  • Zenon Mariak
    • 2
  • Elias R. Melhem
    • 3
  • Jaroslaw Krejza
    • 5
    • 6
  1. 1.Bialystok Technical UniversityFaculty of Electrical EngineeringBialystokPoland
  2. 2.Department of NeurosurgeryMedical University of BialystokBialystokPoland
  3. 3.Department of Radiology, Division of NeuroradiologyUniversity of PennsylvaniaPhiladelphiaUSA
  4. 4.Department of NeurologyUCLA Stroke Center, University of CaliforniaLos AngelesUSA
  5. 5.Department of Radiology, Division of NeuroradiologyUniversity of PennsylvaniaPhiladelphiaUSA
  6. 6.Department of Nuclear MedicineMedical University of GdańskGdańskPoland