Title
Surgical screw segmentation for mobile C-arm CT devices
Abstract
Calcaneal fractures are commonly treated by open reduction and internal fixation. An anatomical reconstruction of involved joints is mandatory to prevent cartilage damage and premature arthritis. In order to avoid intraarticular screw placements, the use of mobile C-arm CT devices is required. However, for analyzing the screw placement in detail, a time-consuming human-computer interaction is necessary to navigate through 3D images and therefore to view a single screw in detail. Established interaction procedures of repeatedly positioning and rotating sectional planes are inconvenient and impede the intraoperative assessment of the screw positioning. To simplify the interaction with 3D images, we propose an automatic screw segmentation that allows for an immediate selection of relevant sectional planes. Our algorithm consists of three major steps. At first, cylindrical characteristics are determined from local gradient structures with the help of RANSAC. In a second step, a DBScan clustering algorithm is applied to group similar cylinder characteristics. Each detected cluster represents a screw, whose determined location is then refined by a cylinder-to-image registration in a third step. Our evaluation with 309 screws in 50 images shows robust and precise results. The algorithm detected 98% (303) of the screws correctly. Thirteen clusters led to falsely identified screws. The mean distance error for the screw tip was 0.8 +/- 0.8 mm and for the screw head 1.2 +/- 1 mm. The mean orientation error was 1.4 +/- 1.2 degrees.
Year
DOI
Venue
2014
10.1117/12.2043030
Proceedings of SPIE
Keywords
Field
DocType
screw segmentation,cylinder detection,RANSAC,intraoperative imaging,C-arm CT,calcaneus
Computer vision,RANSAC,Segmentation,Internal fixation,Premature arthritis,Artificial intelligence,Cartilage damage,Cluster analysis,DBSCAN,Physics
Conference
Volume
ISSN
Citations 
9036
0277-786X
0
PageRank 
References 
Authors
0.34
3
8
Name
Order
Citations
PageRank
Joseph Görres193.59
Michael Brehler2105.66
J Franke310919.49
Ivo Wolf473985.17
s y vetter522.79
p a grutzner600.34
H.P. Meinzer745471.14
Diana Nabers8103.92