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Published in: International Journal of Computer Assisted Radiology and Surgery 8/2019

03-06-2019 | Original Article

Position-based modeling of lesion displacement in ultrasound-guided breast biopsy

Authors: Eleonora Tagliabue, Diego Dall’Alba, Enrico Magnabosco, Chiara Tenga, Igor Peterlik, Paolo Fiorini

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 8/2019

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Abstract

Purpose

Although ultrasound (US) images represent the most popular modality for guiding breast biopsy, malignant regions are often missed by sonography, thus preventing accurate lesion localization which is essential for a successful procedure. Biomechanical models can support the localization of suspicious areas identified on a preoperative image during US scanning since they are able to account for anatomical deformations resulting from US probe pressure. We propose a deformation model which relies on position-based dynamics (PBD) approach to predict the displacement of internal targets induced by probe interaction during US acquisition.

Methods

The PBD implementation available in NVIDIA FleX is exploited to create an anatomical model capable of deforming online. Simulation parameters are initialized on a calibration phantom under different levels of probe-induced deformations; then, they are fine-tuned by minimizing the localization error of a US–visible landmark of a realistic breast phantom. The updated model is used to estimate the displacement of other internal lesions due to probe-tissue interaction.

Results

The localization error obtained when applying the PBD model remains below 11 mm for all the tumors even for input displacements in the order of 30 mm. This proposed method obtains results aligned with FE models with faster computational performance, suitable for real-time applications. In addition, it outperforms rigid model used to track lesion position in US-guided breast biopsies, at least halving the localization error for all the displacement ranges considered.

Conclusion

Position-based dynamics approach has proved to be successful in modeling breast tissue deformations during US acquisition. Its stability, accuracy and real-time performance make such model suitable for tracking lesions displacement during US-guided breast biopsy.

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Appendix
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Literature
1.
go back to reference O’Flynn E, Wilson A, Michell M (2010) Image-guided breast biopsy: state-of-the-art. Clin Radiol 65(4):259–270CrossRef O’Flynn E, Wilson A, Michell M (2010) Image-guided breast biopsy: state-of-the-art. Clin Radiol 65(4):259–270CrossRef
2.
go back to reference Apesteguía L, Pina LJ (2011) Ultrasound-guided core-needle biopsy of breast lesions. Insights Imaging 2(4):493–500CrossRef Apesteguía L, Pina LJ (2011) Ultrasound-guided core-needle biopsy of breast lesions. Insights Imaging 2(4):493–500CrossRef
3.
go back to reference Guo R, Lu G, Qin B, Fei B (2017) Ultrasound imaging technologies for breast cancer detection and management: a review. Ultrasound Med Biol 44:37–70CrossRef Guo R, Lu G, Qin B, Fei B (2017) Ultrasound imaging technologies for breast cancer detection and management: a review. Ultrasound Med Biol 44:37–70CrossRef
4.
go back to reference Kucukkaya F, Aribal E, Tureli D, Altas H, Kaya H (2016) Use of a volume navigation technique for combining real-time ultrasound and contrast-enhanced MRI: accuracy and feasibility of a novel technique for locating breast lesions. Am J Roentgenol 206(1):217–225CrossRef Kucukkaya F, Aribal E, Tureli D, Altas H, Kaya H (2016) Use of a volume navigation technique for combining real-time ultrasound and contrast-enhanced MRI: accuracy and feasibility of a novel technique for locating breast lesions. Am J Roentgenol 206(1):217–225CrossRef
5.
go back to reference Aribal E, Tureli D, Kucukkaya F, Kaya H (2017) Volume navigation technique for ultrasound-guided biopsy of breast lesions detected only at MRI. Am J Roentgenol 208(6):1400–1409CrossRef Aribal E, Tureli D, Kucukkaya F, Kaya H (2017) Volume navigation technique for ultrasound-guided biopsy of breast lesions detected only at MRI. Am J Roentgenol 208(6):1400–1409CrossRef
6.
go back to reference Hipwell JH, Vavourakis V, Han L, Mertzanidou T, Eiben B, Hawkes DJ (2016) A review of biomechanically informed breast image registration. Phys Med Biol 61(2):R1CrossRef Hipwell JH, Vavourakis V, Han L, Mertzanidou T, Eiben B, Hawkes DJ (2016) A review of biomechanically informed breast image registration. Phys Med Biol 61(2):R1CrossRef
7.
go back to reference Zhang J, Zhong Y, Gu C (2018) Deformable models for surgical simulation: a survey. IEEE Rev Biomed Eng 11:143–164CrossRef Zhang J, Zhong Y, Gu C (2018) Deformable models for surgical simulation: a survey. IEEE Rev Biomed Eng 11:143–164CrossRef
8.
go back to reference Bender J, Müller M, Macklin M (2017) A survey on position based dynamics, 2017. In: EUROGRAPHICS 2017 Tutorials Bender J, Müller M, Macklin M (2017) A survey on position based dynamics, 2017. In: EUROGRAPHICS 2017 Tutorials
9.
go back to reference Bender J, Koschier D, Charrier P, Weber D (2014) Position-based simulation of continuous materials. Comput Graph 44:1–10CrossRef Bender J, Koschier D, Charrier P, Weber D (2014) Position-based simulation of continuous materials. Comput Graph 44:1–10CrossRef
10.
go back to reference Rodero C, Real P, Zuñeda P, Monteagudo C, Lozano M, García-Fernández I (2016) Characterisation of position based dynamics for elastic materials. In: Proceedings of the XXVI spanish computer graphics conference, Eurographics Association, pp 49–57 Rodero C, Real P, Zuñeda P, Monteagudo C, Lozano M, García-Fernández I (2016) Characterisation of position based dynamics for elastic materials. In: Proceedings of the XXVI spanish computer graphics conference, Eurographics Association, pp 49–57
11.
go back to reference Berndt I, Torchelsen R, Maciel A (2017) Efficient surgical cutting with position-based dynamics. IEEE Comput Graph Appl 38(3):24–31CrossRef Berndt I, Torchelsen R, Maciel A (2017) Efficient surgical cutting with position-based dynamics. IEEE Comput Graph Appl 38(3):24–31CrossRef
12.
go back to reference Pan J, Bai J, Zhao X, Hao A, Qin H (2015) Real-time haptic manipulation and cutting of hybrid soft tissue models by extended position-based dynamics. Comput Animat Virtual Worlds 26(3–4):321–335CrossRef Pan J, Bai J, Zhao X, Hao A, Qin H (2015) Real-time haptic manipulation and cutting of hybrid soft tissue models by extended position-based dynamics. Comput Animat Virtual Worlds 26(3–4):321–335CrossRef
13.
go back to reference Wang Y, Xiong Y, Xu K, Tan K, Guo G (2006) A mass-spring model for surface mesh deformation based on shape matching. GRAPHITE 6:375–380CrossRef Wang Y, Xiong Y, Xu K, Tan K, Guo G (2006) A mass-spring model for surface mesh deformation based on shape matching. GRAPHITE 6:375–380CrossRef
14.
go back to reference Xu L, Lu Y, Liu Q (2018) Integrating viscoelastic mass spring dampers into position-based dynamics to simulate soft tissue deformation in real time. R Soc Open Sci 5(2):171,587CrossRef Xu L, Lu Y, Liu Q (2018) Integrating viscoelastic mass spring dampers into position-based dynamics to simulate soft tissue deformation in real time. R Soc Open Sci 5(2):171,587CrossRef
15.
go back to reference Kubiak B, Pietroni N, Ganovelli F, Fratarcangeli M (2007) A robust method for real-time thread simulation. In: Proceedings of the 2007 ACM symposium on virtual reality software and technology, ACM, pp 85–88 Kubiak B, Pietroni N, Ganovelli F, Fratarcangeli M (2007) A robust method for real-time thread simulation. In: Proceedings of the 2007 ACM symposium on virtual reality software and technology, ACM, pp 85–88
16.
go back to reference Camara M, Mayer E, Darzi A, Pratt P (2017) Simulation of patient-specific deformable ultrasound imaging in real time. In: Cardoso MJ, Arbel T, Tavares JMRS, Aylward S, Li S, Boctor E, Fichtinger G, Cleary K, Freeman B, Kohli L, Shipley Kane D, Oetgen M, Pujol S (eds) Imaging for patient-customized simulations and systems for point-of-care ultrasound. Springer, Cham, pp 11–18. https://doi.org/10.1007/978-3-319-67552-7_2 CrossRef Camara M, Mayer E, Darzi A, Pratt P (2017) Simulation of patient-specific deformable ultrasound imaging in real time. In: Cardoso MJ, Arbel T, Tavares JMRS, Aylward S, Li S, Boctor E, Fichtinger G, Cleary K, Freeman B, Kohli L, Shipley Kane D, Oetgen M, Pujol S (eds) Imaging for patient-customized simulations and systems for point-of-care ultrasound. Springer, Cham, pp 11–18. https://​doi.​org/​10.​1007/​978-3-319-67552-7_​2 CrossRef
17.
go back to reference Camara M, Mayer E, Darzi A, Pratt P (2016) Soft tissue deformation for surgical simulation: a position-based dynamics approach. Int J Comput Assist Radiol Surg 11(6):919–928CrossRef Camara M, Mayer E, Darzi A, Pratt P (2016) Soft tissue deformation for surgical simulation: a position-based dynamics approach. Int J Comput Assist Radiol Surg 11(6):919–928CrossRef
20.
go back to reference Lasso A, Heffter T, Rankin A, Pinter C, Ungi T, Fichtinger G (2014) Plus: open-source toolkit for ultrasound-guided intervention systems. IEEE Trans Biomed Eng 61(10):2527–2537CrossRef Lasso A, Heffter T, Rankin A, Pinter C, Ungi T, Fichtinger G (2014) Plus: open-source toolkit for ultrasound-guided intervention systems. IEEE Trans Biomed Eng 61(10):2527–2537CrossRef
21.
go back to reference Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller J, Pieper S, Kikinis R (2012) 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30(9):1323–1341CrossRef Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller J, Pieper S, Kikinis R (2012) 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30(9):1323–1341CrossRef
22.
go back to reference Tokuda J, Fischer GS, Papademetris X, Yaniv Z, Ibanez L, Cheng P, Liu H, Blevins J, Arata J, Golby AJ, Kapur T, Pieper S, Burdette E, Fichtinger G, Tempany C, Hata N (2009) Openigtlink: an open network protocol for image-guided therapy environment. Int J Med Robot Comput Assist Surg 5(4):423–434CrossRef Tokuda J, Fischer GS, Papademetris X, Yaniv Z, Ibanez L, Cheng P, Liu H, Blevins J, Arata J, Golby AJ, Kapur T, Pieper S, Burdette E, Fichtinger G, Tempany C, Hata N (2009) Openigtlink: an open network protocol for image-guided therapy environment. Int J Med Robot Comput Assist Surg 5(4):423–434CrossRef
23.
go back to reference Amini R, Kartchner JZ, Stolz LA, Biffar D, Hamilton AJ, Adhikari S (2015) A novel and inexpensive ballistic gel phantom for ultrasound training. World J Emerg Med 6(3):225CrossRef Amini R, Kartchner JZ, Stolz LA, Biffar D, Hamilton AJ, Adhikari S (2015) A novel and inexpensive ballistic gel phantom for ultrasound training. World J Emerg Med 6(3):225CrossRef
24.
go back to reference Mitchell M (1998) An introduction to genetic algorithms. MIT Press, Cambridge Mitchell M (1998) An introduction to genetic algorithms. MIT Press, Cambridge
25.
go back to reference Yushkevich PA, Piven J, Cody Hazlett H, Gimpel Smith R, Ho S, Gee JC, Gerig G (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3):1116–1128CrossRef Yushkevich PA, Piven J, Cody Hazlett H, Gimpel Smith R, Ho S, Gee JC, Gerig G (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3):1116–1128CrossRef
26.
go back to reference Cignoni P, Callieri M, Corsini M, Dellepiane M, Ganovelli F, Ranzuglia G (2008) MeshLab: an open-source mesh processing tool. In: Scarano V, Chiara RD, Erra U (eds) Eurographics Italian chapter conference, The Eurographics Association Cignoni P, Callieri M, Corsini M, Dellepiane M, Ganovelli F, Ranzuglia G (2008) MeshLab: an open-source mesh processing tool. In: Scarano V, Chiara RD, Erra U (eds) Eurographics Italian chapter conference, The Eurographics Association
27.
go back to reference Audet C, Dennis JE Jr (2002) Analysis of generalized pattern searches. SIAM J Optim 13(3):889–903CrossRef Audet C, Dennis JE Jr (2002) Analysis of generalized pattern searches. SIAM J Optim 13(3):889–903CrossRef
28.
go back to reference Faure F, Duriez C, Delingette H, Allard J, Gilles B, Marchesseau S, Talbot H, Courtecuisse H, Bousquet G, Peterlik I, Cotin S (2012) SOFA: a multi-model framework for interactive physical simulation. In: Payan Y (ed) Soft tissue biomechanical modeling for computer assisted surgery. Studies in mechanobiology, tissue engineering and biomaterials, vol 11. Springer, Berlin, Heidelberg, pp 283–321. https://doi.org/10.1007/8415_2012_125 Faure F, Duriez C, Delingette H, Allard J, Gilles B, Marchesseau S, Talbot H, Courtecuisse H, Bousquet G, Peterlik I, Cotin S (2012) SOFA: a multi-model framework for interactive physical simulation. In: Payan Y (ed) Soft tissue biomechanical modeling for computer assisted surgery. Studies in mechanobiology, tissue engineering and biomaterials, vol 11. Springer, Berlin, Heidelberg, pp 283–321. https://​doi.​org/​10.​1007/​8415_​2012_​125
29.
go back to reference Visentin F, Groenhuis V, Maris B, DallAlba D, Siepel F, Stramigioli S, Fiorini P (2018) Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validation. Med Biol Eng Comput 57:1–12 Visentin F, Groenhuis V, Maris B, DallAlba D, Siepel F, Stramigioli S, Fiorini P (2018) Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validation. Med Biol Eng Comput 57:1–12
30.
go back to reference Schenk O, Gärtner K (2004) Solving unsymmetric sparse systems of linear equations with PARDISO. Future Gener Comput Syst 20(3):475–487CrossRef Schenk O, Gärtner K (2004) Solving unsymmetric sparse systems of linear equations with PARDISO. Future Gener Comput Syst 20(3):475–487CrossRef
31.
go back to reference Moreira P, Peterlik I, Herink M, Duriez C, Cotin S, Misra S (2013) Modelling prostate deformation: sofa versus experiments. Prostate 17(83.0):1 Moreira P, Peterlik I, Herink M, Duriez C, Cotin S, Misra S (2013) Modelling prostate deformation: sofa versus experiments. Prostate 17(83.0):1
32.
go back to reference Macklin M, Müller M, Chentanez N (2016) Xpbd: position-based simulation of compliant constrained dynamics. In: Proceedings of the 9th international conference on motion in games, ACM, pp 49–54 Macklin M, Müller M, Chentanez N (2016) Xpbd: position-based simulation of compliant constrained dynamics. In: Proceedings of the 9th international conference on motion in games, ACM, pp 49–54
Metadata
Title
Position-based modeling of lesion displacement in ultrasound-guided breast biopsy
Authors
Eleonora Tagliabue
Diego Dall’Alba
Enrico Magnabosco
Chiara Tenga
Igor Peterlik
Paolo Fiorini
Publication date
03-06-2019
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 8/2019
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-01997-z

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