Abstract for prager_tr436

Cambridge University Engineering Department Technical Report CUED/F-INFENG/TR436

USING IMAGE-BASED REGRESSION TO ACQUIRE FREEHAND 3D ULTRASOUND

R.W.Prager, A.H.Gee, G.M.Treece, C.J.C.Cash and L.H.Berman

June 2002

In freehand 3D ultrasound, a position sensor is attached to the probe of a 2D ultrasound machine. The resulting 3D data permits flexible visualisation and more accurate volume measurement than can be achieved using 2D B-scans alone; however the use of the position sensor can be inconvenient for the clinician. The objective is thus to replace the sensor with a technique for estimating the probe trajectory based on the B-scan images themselves. One such technique exists, based on decorrelation algorithms. This report presents an alternative approach based on linear regression of the echo envelope intensity signal. A probabilistic analysis of the speckle characteristics of the ultrasound signal leads to a linear model on which the regression algorithm is based. The gradient parameter of this model is shown to be directly related to probe motion. The viability of the new approach is demonstrated through simulations, and in vitro and in vivo experiments.


| (ftp:) prager_tr436.ps.gz | (http:) prager_tr436.ps.gz | (ftp:) prager_tr436.pdf | (http:) prager_tr436.pdf |

If you have difficulty viewing files that end '.gz', which are gzip compressed, then you may be able to find tools to uncompress them at the gzip web site.

If you have difficulty viewing files that are in PostScript, (ending '.ps' or '.ps.gz'), then you may be able to find tools to view them at the gsview web site.

We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.