Parameter Identification for a Needle-Tissue Interaction Model

TitleParameter Identification for a Needle-Tissue Interaction Model
Publication TypeConference Paper
Year of Publication2007
AuthorsDehghan, E., X. Wen, R. Zahiri-Azar, M. Marchal, and S. E. Salcudean
Conference NameEngineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Pagination190 -193
Date Publishedaug.
Keywordsbiological tissues, biomechanics, biomedical measurement, biomedical ultrasonics, correlation methods, displacement measurement, elastic parameters, elasticity, elastography, finite element analysis, finite element based simulation, needle base forces, needle displacements, needle-tissue interaction forces model, needles, parameter identification, physiological models, step functions, three parameter force distribution, time-domain analysis, time-domain cross-correlation method, tissue displacement estimation, ultrasound radio-frequency data

In this work, needle-tissue interaction forces are modeled by a three parameter force distribution composed of two step functions with variable amplitudes and spacing. A finite element based simulation is used to adjust the parameters and fit the simulation results to the experimental data. In experiments, needle displacements and needle base forces were measured along with tissue displacements. A real-time version of the time-domain cross-correlation method was employed in this study to estimate the tissue displacements from ultrasound radio-frequency data, as done in elastography. In addition to the force model parameters, the elastic parameters of the tissue were adjusted to match the simulated and measured displacements.


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