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).
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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.",
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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

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PY - 2011/8

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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