Paper Info
Title
Computer-assisted intramedullary nailing using real-time bone detection in 2D ultrasound images
Abstract
In this paper, we propose a new method for bone surface detection in 2D ultrasound (US) images, and its application in a Computer Assisted Orthopaedic Surgery system to assist the surgeon during the locking of the intramedullary nail in tibia fractures reduction. It is a three main steps method: first, a vertical gradient is applied to extract potential segments of bone from 2D US images, and then, a new method based on shortest path is used to eliminate all segments that do not belong to the final contour. Finally, the contour is closed using least square polynomial approximation. The first validation of the method has been done using US images of anterior femoral condyles from 9 healthy volunteers. To calculate the accuracy of the method, we compared our results to a manual segmentation performed by an expert. The Misclassification Error (ME) is between 0.10% and 0.26% and the average computation time was 0.10 second per image.
Year
DOI
Venue
2011
10.1007/978-3-642-24319-6_3
MLMI
Keywords
Field
DocType
us image,main steps method,real-time bone detection,healthy volunteer,ultrasound image,final contour,new method,average computation time,anterior femoral condyles,computer assisted orthopaedic surgery,bone surface detection,computer-assisted intramedullary,misclassification error,segmentation
Computer vision,Polynomial,Pattern recognition,Shortest path problem,Segmentation,Computer science,Condyle,Artificial intelligence,Computer-assisted surgery,Orthopedic surgery,Intramedullary rod,Ultrasound
Conference
Volume
ISSN
Citations 
7009
0302-9743
0
PageRank 
References 
Authors
0.34
7
4
Name
Order
Citations
PageRank
Agnès Masson-Sibut121.05
Amir Nakib27616.51
Eric Petit35812.73
Francois Leitner4267.72