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Hidden Markov Model for Quantifying Clinician Expertise in Flexible Instrument Manipulation

Institution:
1Center for Integration of Medicine and Innovative Technology, Boston, MA, USA.
2Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Publisher:
Springer-Verlag Berlin Heidelberg
Publication Date:
Sep-2010
Volume Number:
6326
Pages:
363-72
Citation:
International Workshop on Medical Imaging and Augmented Reality, 2010 Sep; 6326:363-72.
Links:
http://www.springerlink.com/content/w765625007742g71/
Keywords:
Hidden Markov Model, Colonoscopy training, Gesture recognition
Appears in Collections:
CIGL, NCIGT, SPL
Sponsors:
R42 CA115112/CA/NCI NIH HHS/United States
Center for Integration of Medicine and Innovative Technology (CIMIT)
Generated Citation:
Jayender J., San Jose Estepar R., Obstein K., Patil V., Thompson C., Vosburgh K. Hidden Markov Model for Quantifying Clinician Expertise in Flexible Instrument Manipulation. International Workshop on Medical Imaging and Augmented Reality, 2010 Sep; 6326:363-72.
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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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