Simulation and Visualization to Support Breast Surgery Planning

Georgii, Joachim; Paetz, Torben; Harz, Markus Thorsten; Stoecker, Christina; Rothgang, Michael; Colletta, Joseph; Schilling, Kathy; Schlooz-Vries, Margrethe; Mann, Ritse M.; Hahn, Horst K.

doi:10.1007/978-3-319-41546-8_33

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…It was also shown by Carter and colleagues 25 that imposing Dirichlet conditions on the chest wall results in an over constrained model underestimating the breast lateral displacement. Therefore, the most recent models include a frictionless surface between chest wall and breast 18,25,26 .…”

Section: Related Workmentioning

confidence: 99%

“…Applications such as image guided surgery or preoperative planning imply a wider range of deformations. Therefore biomechanical breast models capable of estimating breast deformation between supine and prone positions (named multi loading simulations) were proposed [15][16][17][18][19] . Considering the involved large deformation, these models need to be more accurate with respect to mechanical and anatomical breast properties.…”

Section: Related Workmentioning

confidence: 99%

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A biomechanical breast model evaluated with respect to MRI data collected in three different positions

Mîra¹,

Carton²,

Muller³

2018

Clinical Biomechanics

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Background: Mammography is a specific type of breast imaging that uses low-dose X-rays to detect cancer in early stage. During the exam, the women breast is compressed between two plates in order to even out the breast thickness and to spread out the soft tissues. This technique improves exam quality but can be uncomfortable for the patient. The perceived discomfort can be assessed by the means of a breast biomechanical model. Alternative breast compression techniques may be computationally investigated trough finite elements simulations.Methods: The aim of this work is to develop and evaluate a new biomechanical Finite Element (FE) breast model. The complex breast anatomy is considered including adipose and glandular tissues, muscle, skin, suspensory ligaments and pectoral fascias. Material hyper-elasticity is modeled using the Neo-Hookean material models. The stress-free breast geometry and subject-specific constitutive models are derived using tissues deformations measurements from MR images. Findings:The breast geometry in three breast configurations were computed using the breast stress-free geometry together with the estimated set of equivalent Young's modulus ( 0.3 , 0.2 , 4, 120). The Hausdorff distance between estimated and measured breast geometries for prone, supine and supine tilted configurations is equal to 2.17 mm, 1.72 mm and 5.90 mm respectively.Interpretation: A subject-specific breast model allows a better characterization of breast mechanics. However, the model presents some limitations when estimating the supine tilted breast configuration. The results show clearly the difficulties to characterize soft tissues mechanics at large strain ranges with Neo-Hookean material models.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A biomechanical breast model evaluated with respect to MRI data collected in three different positions

Mîra¹,

Carton²,

Muller³

2018

Clinical Biomechanics

View full text Add to dashboard Cite

show abstract

“…Detecting Cooper's ligaments in MR images is not possible. Thus, some researchers have modeled their effects in the physical behavior of the breast using indirect ways, for instance, assuming linear transverse isotropic material models or defining explicitly the ligaments as binding conditions . Finally, vessels and lymphatic nodes are not modeled due to their tiny contribution to the mechanical behavior.…”

Section: Patient‐specific Biomechanical Modelingmentioning

confidence: 99%

A step‐by‐step review on patient‐specific biomechanical finite element models for breast MRI to x‐ray mammography registration

et al. 2017

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Breast magnetic resonance imaging (MRI) and x-ray mammography are two image modalities widely used for the early detection and diagnosis of breast diseases in women. The combination of these modalities leads to a more accurate diagnosis and treatment of breast diseases. The aim of this paper is to review the registration between breast MRI and x-ray mammographic images using patient-specific finite element-based biomechanical models. Specifically, a biomechanical model is obtained from the patient's MRI volume and is subsequently used to mimic the mammographic acquisition. Due to the different patient positioning and movement restrictions applied in each image modality, the finite element analysis provides a realistic physics-based approach to perform the breast deformation. In contrast with other reviews, we do not only expose the overall process of compression and registration but we also include main ideas, describe challenges, and provide an overview of the used software in each step of the process. Extracting an accurate description from the MR images and preserving the stability during the finite element analysis require an accurate knowledge about the algorithms used, as well as the software and underlying physics. The wide perspective offered makes the paper suitable not only for expert researchers but also for graduate students and clinicians. We also include several medical applications in the paper, with the aim to fill the gap between the engineering and clinical performance.

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“…In breast cancer treatment, surgery is one of the most common practices [1]. In breast-conserving surgery, the imaging procedure (i.e., MRI) is conducted in prone configurations while surgery is performed in supine stance [2,3,4,5].…”

Section: Introductionmentioning

confidence: 99%

Digital Volume Correlation for large deformations of soft tissues: Pipeline and proof of concept for the application to breast ex vivo deformations

Lavigne

Mazier

Perney

et al. 2022

Journal of the Mechanical Behavior of Biomedical Materials

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Simulation and Visualization to Support Breast Surgery Planning

Cited by 3 publications

References 18 publications

A biomechanical breast model evaluated with respect to MRI data collected in three different positions

A biomechanical breast model evaluated with respect to MRI data collected in three different positions

A step‐by‐step review on patient‐specific biomechanical finite element models for breast MRI to x‐ray mammography registration

Digital Volume Correlation for large deformations of soft tissues: Pipeline and proof of concept for the application to breast ex vivo deformations

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