Modeling of needle-tissue interaction using ultrasound-based motion estimation

Authors:
Ehsan Dehghan;Xu Wen;Reza Zahiri-Azar;Maud Marchal;Septimiu E. Salcudean
Affiliations:
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada and TIMC-GMCAO Laboratory, Grenoble, France;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2007

Citing 2
Cited 1

Measurement of the Tip and Friction Force Acting on a Needle during Penetration

MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
A velocity-dependent model for needle insertion in soft tissue

MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Needle Insertion Study Using Ultrasound-Based 2D Motion Tracking

MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II

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Abstract

A needle-tissue interaction model is an essential part of every needle insertion simulator. In this paper, a new experimental method for the modeling of needle-tissue interaction is presented. The method consists of measuring needle and tissue displacements with ultrasound, measuring needle base forces, and using a deformation simulation model to identify the parameters of a needle-tissue interaction model. The feasibility of this non-invasive approach was demonstrated in an experiment in which a brachytherapy needle was inserted into a prostate phantom. Ultrasound radio-frequency data and the time-domain cross-correlation method, often used in ultrasound elastography, were used to generate the tissue displacement field during needle insertion. A three-parameter force density model was assumed for the needle-tissue interaction. With the needle displacement, tissue displacement and needle base forces as input data, finite element simulations were carried out to adjust the model parameters to achieve a good fit between simulated and measured data.