Paper Info
Title
A fully automatic calibration procedure for freehand 3D ultrasound
Abstract
This paper describes a novel method for calibration of freehand three-dimensional (3D) ultrasound. A position sensor is mounted on a conventional ultrasound probe, thus the set of B-scans can be localized in 3D, and can be compounded into a volume. The calibration process aims at determining the transformation (translations, rotations, scaling) between the coordinates system of images and the coordinate system of the localization system. In our study, the phantom used to calibrate the 3D ultrasound system is a plane. It provides in each image a strong, straight line. The calibration process is based on the set of lines in 2D images forming a plane in 3D. Points of interest are extracted from the ultrasound sequence. The eight parameters of the transformation are determined with an iterative algorithm which is based on the principle that correct registration between the plane and the points of interest provides correct calibration. Validation of this method has been performed on synthetic sequences. This calibration method is shown to be easy to perform, completely automatic and fast enough for clinical use.
Year
DOI
Venue
2002
10.1109/ISBI.2002.1029428
ISBI
Keywords
Field
DocType
biomedical transducers,biomedical ultrasonics,calibration,image reconstruction,image registration,image sequences,iterative methods,medical image processing,phantoms,ultrasonic transducers,2D images,B-scans,calibration process,clinical use,conventional ultrasound probe,coordinates system of images,correct registration,free-hand three-dimensional ultrasound,freehand 3D ultrasound,fully automatic calibration procedure,iterative algorithm,localization system,phantom,plane,points of interest,position sensor,rotations,scaling,set of lines,strong straight line,synthetic sequences,transformation,translations,ultrasound sequence,volume
Iterative reconstruction,Coordinate system,Line (geometry),Computer vision,Ultrasonic sensor,Computer science,Imaging phantom,Artificial intelligence,Image registration,3D ultrasound,Calibration
Conference
Citations 
PageRank 
References 
8
1.93
2
Authors
3
Name
Order
Citations
PageRank
François Rousseau1124.07
Pierre Hellier2133284.65
Christian Barillot31290133.50