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

Autor: Chiara Tenga, Igor Peterlik, Enrico Magnabosco, Eleonora Tagliabue, Diego Dall'Alba, Paolo Fiorini
Přispěvatelé: Department of Computer Science [Verona] (UNIVR | DI), University of Verona (UNIVR), Computational Anatomy and Simulation for Medicine (MIMESIS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Università degli studi di Verona = University of Verona (UNIVR), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2019
Předmět:
Models
Anatomic
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Computer science
Biopsy
02 engineering and technology
Tracking (particle physics)
Phantoms
Displacement (vector)
Imaging
030218 nuclear medicine & medical imaging
0302 clinical medicine
Models
Computer vision
Breast
Ultrasonography
medicine.diagnostic_test
Phantoms
Imaging
Anatomic
Ultrasound tracking
Ultrasound
General Medicine
Robotics
Computer Graphics and Computer-Aided Design
Computer Science Applications
[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Biophysics
Calibration
Computer Vision and Pattern Recognition
Ultrasonography
Mammary
Position-based dynamics
Algorithms
Breast biopsy
Image-Guided Biopsy
Biomechanical model
Ultrasound-guided breast biopsy
Breast Neoplasms
Computer Simulation
Humans
Patient Positioning
Software
Imaging
Three-Dimensional
0206 medical engineering
Biomedical Engineering
Health Informatics
[SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery
03 medical and health sciences
Position (vector)
medicine
Radiology
Nuclear Medicine and imaging
[PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph]
Mammary
Landmark
business.industry
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
020601 biomedical engineering
Three-Dimensional
Surgery
Artificial intelligence
business
Zdroj: International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2019, 14 (8), pp.1329-1339. ⟨10.1007/s11548-019-01997-z⟩
International Journal of Computer Assisted Radiology and Surgery, 2019, 14 (8), pp.1329-1339. ⟨10.1007/s11548-019-01997-z⟩
ISSN: 1861-6429
1861-6410
DOI: 10.1007/s11548-019-01997-z⟩
Popis: International audience; 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 pre-operative 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. 2 Eleonora Tagliabue et al. Conclusions 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.
Databáze: OpenAIRE
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