Paper Info
Title
Visualizing positional uncertainty in freehand 3D ultrasound
Abstract
The freehand 3D ultrasound technique relies on position sensors attached to the probe to register the location of each image to a 3D space. However, the imprecision of the position sensors reduces the reliability of estimated image locations. In this paper, we propose a novel method to compute the positional uncertainty of an image plane. First, we use rigid body point-based registration to compute the error produced by each pixel of the image during the tracking. The Target Registration Error (TRE) is used to compute the covariance matrix of errors at each pixel position. This covariance matrix is then decomposed as a 3D orientation error, in the x, y and z directions. Considering a volume around the image, we introduce the Image Plane Crossing Probability (IPCP) to determine the probability that the plane passes through each voxel. The result is a point cloud probability around the image plane, where each voxel contains the crossing probability and the contribution of each direction of the error. Finally, a simple volume rendering technique is used to visualize the uncertainty of the plane position. The results are validated in two steps. The first step is a Monte Carlo simulation to validate the estimate of the TRE covariance for the tracking errors. The second step simulates TRE errors on a plane and validates the associated positional uncertainty.
Year
DOI
Venue
2014
10.1117/12.2043659
Proceedings of SPIE
Keywords
Field
DocType
Freehand 3D ultrasound,Positional uncertainty,Uncertainty visualization,Tracking errors
Voxel,Computer vision,Volume rendering,Monte Carlo method,Computer science,Image plane,Artificial intelligence,Pixel,Covariance matrix,Position sensor,Covariance
Conference
Volume
ISSN
Citations 
9036
0277-786X
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Houssem Eddine Gueziri161.86
Michael J. McGuffin298954.52
Catherine Laporte39711.53