Target motion predictions for pre-operative planning during needle-based interventions

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

    8 Citations (Scopus)

    Abstract

    During biopsies, breast tissue is subjected to displacement upon needle indentation, puncture, and penetration. Thus, accurate needle placement requires pre-operative predictions of the target motions. In this paper, we used ultrasound elastography measurements to non-invasively predict elastic properties of breast tissue phantoms. These properties were used in finite element (FE) models of indentation of breast soft tissue phantoms. To validate the model predictions of target motion, experimental measurements were carried out. Breast tissue phantoms with cubic and hemispherical geometries were manufactured and included materials with different elastic properties to represent skin, adipose tissue, and lesions. Ultrasound was used to track the displacement of the target (i.e., the simulated lesion) during indentation. The FE model predictions were compared with ultrasound measurements for cases with different boundary conditions and phantom geometry. Maximum errors between measured and predicted target motions were 12% and 3% for the fully supported and partially supported cubic phantoms at 6.0 mm indentation, respectively. Further, FE-based parameter sensitivity analysis indicated that increasing skin elastic modulus and reducing the target depth location increased the target motion. Our results indicate that with a priori knowledge about the geometry, boundary conditions, and linear elastic properties, indentation of breast tissue phantoms can be accurately predicted with FE models. FE models for pre-operative planning in combination with robotic needle insertions, could play a key role in improving lesion targeting for breast biopsies.
    Original languageEnglish
    Title of host publication33rd Annual International Conference of the IEEE EMBC
    Subtitle of host publicationBoston, Massachusetts USA, August 30 -­ September 3, 2011
    Place of PublicationPiscataway, NJ
    PublisherIEEE Engineering in Medicine and Biology Society
    Pages5380-5385
    Number of pages6
    DOIs
    Publication statusPublished - Aug 2011
    Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011 - Boston Marriott Copley Place Hotel, Boston, United States
    Duration: 30 Aug 20113 Sep 2011
    Conference number: 33

    Publication series

    NameAnnual International Conference of the IEEE EMBS
    PublisherIEEE Engineering in Medicine & Biology Society
    Number33
    ISSN (Print)1557-170X

    Conference

    Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011
    Abbreviated titleEMBC
    CountryUnited States
    CityBoston
    Period30/08/113/09/11

    Fingerprint

    Needles
    Indentation
    Tissue
    Planning
    Biopsy
    Ultrasonics
    Geometry
    Skin
    Boundary conditions
    Sensitivity analysis
    Robotics
    Elastic moduli

    Cite this

    op den Buijs, J., Abayazid, M., de Korte, C. L., & Misra, S. (2011). Target motion predictions for pre-operative planning during needle-based interventions. In 33rd Annual International Conference of the IEEE EMBC: Boston, Massachusetts USA, August 30 -­ September 3, 2011 (pp. 5380-5385). (Annual International Conference of the IEEE EMBS; No. 33). Piscataway, NJ: IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/IEMBS.2011.6091331
    op den Buijs, Jorn ; Abayazid, Momen ; de Korte, Chris L. ; Misra, Sarthak. / Target motion predictions for pre-operative planning during needle-based interventions. 33rd Annual International Conference of the IEEE EMBC: Boston, Massachusetts USA, August 30 -­ September 3, 2011. Piscataway, NJ : IEEE Engineering in Medicine and Biology Society, 2011. pp. 5380-5385 (Annual International Conference of the IEEE EMBS; 33).
    @inproceedings{15f371569e2b483d80172c0e8b50de76,
    title = "Target motion predictions for pre-operative planning during needle-based interventions",
    abstract = "During biopsies, breast tissue is subjected to displacement upon needle indentation, puncture, and penetration. Thus, accurate needle placement requires pre-operative predictions of the target motions. In this paper, we used ultrasound elastography measurements to non-invasively predict elastic properties of breast tissue phantoms. These properties were used in finite element (FE) models of indentation of breast soft tissue phantoms. To validate the model predictions of target motion, experimental measurements were carried out. Breast tissue phantoms with cubic and hemispherical geometries were manufactured and included materials with different elastic properties to represent skin, adipose tissue, and lesions. Ultrasound was used to track the displacement of the target (i.e., the simulated lesion) during indentation. The FE model predictions were compared with ultrasound measurements for cases with different boundary conditions and phantom geometry. Maximum errors between measured and predicted target motions were 12{\%} and 3{\%} for the fully supported and partially supported cubic phantoms at 6.0 mm indentation, respectively. Further, FE-based parameter sensitivity analysis indicated that increasing skin elastic modulus and reducing the target depth location increased the target motion. Our results indicate that with a priori knowledge about the geometry, boundary conditions, and linear elastic properties, indentation of breast tissue phantoms can be accurately predicted with FE models. FE models for pre-operative planning in combination with robotic needle insertions, could play a key role in improving lesion targeting for breast biopsies.",
    author = "{op den Buijs}, Jorn and Momen Abayazid and {de Korte}, {Chris L.} and Sarthak Misra",
    year = "2011",
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    doi = "10.1109/IEMBS.2011.6091331",
    language = "English",
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    op den Buijs, J, Abayazid, M, de Korte, CL & Misra, S 2011, Target motion predictions for pre-operative planning during needle-based interventions. in 33rd Annual International Conference of the IEEE EMBC: Boston, Massachusetts USA, August 30 -­ September 3, 2011. Annual International Conference of the IEEE EMBS, no. 33, IEEE Engineering in Medicine and Biology Society, Piscataway, NJ, pp. 5380-5385, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011, Boston, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6091331

    Target motion predictions for pre-operative planning during needle-based interventions. / op den Buijs, Jorn; Abayazid, Momen; de Korte, Chris L.; Misra, Sarthak.

    33rd Annual International Conference of the IEEE EMBC: Boston, Massachusetts USA, August 30 -­ September 3, 2011. Piscataway, NJ : IEEE Engineering in Medicine and Biology Society, 2011. p. 5380-5385 (Annual International Conference of the IEEE EMBS; No. 33).

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

    TY - GEN

    T1 - Target motion predictions for pre-operative planning during needle-based interventions

    AU - op den Buijs, Jorn

    AU - Abayazid, Momen

    AU - de Korte, Chris L.

    AU - Misra, Sarthak

    PY - 2011/8

    Y1 - 2011/8

    N2 - During biopsies, breast tissue is subjected to displacement upon needle indentation, puncture, and penetration. Thus, accurate needle placement requires pre-operative predictions of the target motions. In this paper, we used ultrasound elastography measurements to non-invasively predict elastic properties of breast tissue phantoms. These properties were used in finite element (FE) models of indentation of breast soft tissue phantoms. To validate the model predictions of target motion, experimental measurements were carried out. Breast tissue phantoms with cubic and hemispherical geometries were manufactured and included materials with different elastic properties to represent skin, adipose tissue, and lesions. Ultrasound was used to track the displacement of the target (i.e., the simulated lesion) during indentation. The FE model predictions were compared with ultrasound measurements for cases with different boundary conditions and phantom geometry. Maximum errors between measured and predicted target motions were 12% and 3% for the fully supported and partially supported cubic phantoms at 6.0 mm indentation, respectively. Further, FE-based parameter sensitivity analysis indicated that increasing skin elastic modulus and reducing the target depth location increased the target motion. Our results indicate that with a priori knowledge about the geometry, boundary conditions, and linear elastic properties, indentation of breast tissue phantoms can be accurately predicted with FE models. FE models for pre-operative planning in combination with robotic needle insertions, could play a key role in improving lesion targeting for breast biopsies.

    AB - During biopsies, breast tissue is subjected to displacement upon needle indentation, puncture, and penetration. Thus, accurate needle placement requires pre-operative predictions of the target motions. In this paper, we used ultrasound elastography measurements to non-invasively predict elastic properties of breast tissue phantoms. These properties were used in finite element (FE) models of indentation of breast soft tissue phantoms. To validate the model predictions of target motion, experimental measurements were carried out. Breast tissue phantoms with cubic and hemispherical geometries were manufactured and included materials with different elastic properties to represent skin, adipose tissue, and lesions. Ultrasound was used to track the displacement of the target (i.e., the simulated lesion) during indentation. The FE model predictions were compared with ultrasound measurements for cases with different boundary conditions and phantom geometry. Maximum errors between measured and predicted target motions were 12% and 3% for the fully supported and partially supported cubic phantoms at 6.0 mm indentation, respectively. Further, FE-based parameter sensitivity analysis indicated that increasing skin elastic modulus and reducing the target depth location increased the target motion. Our results indicate that with a priori knowledge about the geometry, boundary conditions, and linear elastic properties, indentation of breast tissue phantoms can be accurately predicted with FE models. FE models for pre-operative planning in combination with robotic needle insertions, could play a key role in improving lesion targeting for breast biopsies.

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    DO - 10.1109/IEMBS.2011.6091331

    M3 - Conference contribution

    T3 - Annual International Conference of the IEEE EMBS

    SP - 5380

    EP - 5385

    BT - 33rd Annual International Conference of the IEEE EMBC

    PB - IEEE Engineering in Medicine and Biology Society

    CY - Piscataway, NJ

    ER -

    op den Buijs J, Abayazid M, de Korte CL, Misra S. Target motion predictions for pre-operative planning during needle-based interventions. In 33rd Annual International Conference of the IEEE EMBC: Boston, Massachusetts USA, August 30 -­ September 3, 2011. Piscataway, NJ: IEEE Engineering in Medicine and Biology Society. 2011. p. 5380-5385. (Annual International Conference of the IEEE EMBS; 33). https://doi.org/10.1109/IEMBS.2011.6091331