Bayesian estimation of intra-operative deformation for image-guided surgery using 3-D ultrasound

A P King, J M Blackall, G P Penney, P J Edwards, D L G Hill, D J Hawkes

Research output: Chapter in Book/Report/Conference proceedingConference paper

25 Citations (Scopus)

Abstract

Describes the application of Bayesian theory to the problem of compensating for soft tissue deformation to improve the accuracy of image-guided surgery. A triangular surface mesh segmented from a pre-operative image is used as the input to the algorithm, and intra-operatively acquired ultrasound data compounded into a 3D volume is used to guide the deformation process. Prior probabilities are defined for the boundary points of the segmented structure based on knowledge of the direction of gravity, the position of the surface of the surgical scene and knowledge of the tissue properties. The posterior probabilities of the locations of each of the boundary points are then maximised according to Bayes' theorem. A regularisation term is included to constrain the deformation to the global structure of the object. The technique is demonstrated using a deformable phantom designed to have similar properties to human tissue. The results presented demonstrate that the algorithm was able to recover much of the deformation for a number of objects at varying depths from the source of deformation. This technique offers a convenient means of introducing prior knowledge of the operative situation into the problem of soft-tissue deformation and has the potential for greatly improving the utility of image-guided surgery. (16 References).
Original languageEnglish
Title of host publicationConference Proceedings - Lecture Notes in Computer Science (LNCS) Vol# 1935
Place of PublicationBerlin, Germany
PublisherSpringer
Pages588 - 597
Number of pages10
ISBN (Print)3540411895
Publication statusPublished - 2000
EventMICCAI 2000: Medical Image Computing & Computer Assisted Intervention - 3rd International Conference - Pittsburgh, PA, United States
Duration: 11 Oct 200014 Oct 2000

Conference

ConferenceMICCAI 2000: Medical Image Computing & Computer Assisted Intervention - 3rd International Conference
Country/TerritoryUnited States
CityPittsburgh, PA
Period11/10/200014/10/2000

Fingerprint

Dive into the research topics of 'Bayesian estimation of intra-operative deformation for image-guided surgery using 3-D ultrasound'. Together they form a unique fingerprint.

Cite this