Hidden Markov Model for Quantifying Clinician Expertise in Flexible Instrument Manipulation

  • Jagadeesan Jayender
  • Raúl San Jośe Estépar
  • Keith Obstein
  • Vaibhav Patil
  • Christopher C. Thompson
  • Kirby G. Vosburgh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6326)

Abstract

Clinicians are trained to manipulate a colonoscope while minimizing the force exerted on the colon walls to reduce the danger of luminal perforation and discomfort to the patient. Here, we classify the expertise of the clinician performing colonoscopy using a Hidden Markov Model. Seven models are trained corresponding to the performance of the expert in the entire colon, ascending, transverse and descending colon and three gestures corresponding to roll and two angulations of the distal end of the scope. Experimental results in a colon model (CM-1, Olympus, Tokyo, Japan) are shown to compare the performance of the four groups of users - first year, second year and third year GI residents and expert physicians.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jagadeesan Jayender
    • 1
    • 2
  • Raúl San Jośe Estépar
    • 1
  • Keith Obstein
    • 3
  • Vaibhav Patil
    • 1
    • 2
  • Christopher C. Thompson
    • 3
  • Kirby G. Vosburgh
    • 1
    • 2
  1. 1.Department of Radiology, Harvard Medical SchoolBrigham and Women’s HospitalBostonUSA
  2. 2.CIMIT Image Guidance LaboratoryBostonUSA
  3. 3.Division of GastroenterologyBrigham and Women’s HospitalBostonUSA

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