Methods for predicting mechanical deformations in the breast during clinical breast biopsy

Azar, Fred S.; Metaxas, Dimitris N.; Miller, Reid; Schall, M.D.

doi:10.1109/nebc.2000.842380

Cited by 9 publications

(7 citation statements)

References 1 publication

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“…After considering all the above design requirements and testing various materials, we finally choose a commonly used silicone gel [9,10] (Nanjing Hua Cheng Chemical Co., Ltd, Nanjing, China) as the base material for the tissue-simulating phantoms. The silicone gel is a transparent, granular, vitreous and porous form of silicon dioxide made synthetically from sodium silicate.…”

Section: Methodsmentioning

confidence: 99%

Freeform fabrication of tissue-simulating phantoms by combining three-dimensional printing and casting

et al. 2016

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Appropriate surgical planning is important for improved clinical outcome and minimal complications in many surgical operations. In order to provide an intuitive model for better surgical planning, we develop a novel process that combines 3D printing and casting for freeform fabrication of tissue-simulating phantoms. 3D computer models of biological systems including body and internal organs are sliced, processed, and converted into data format suitable for Fused Deposition Modeling (FDM). The hard tissue structures, such as bones and skeletons, are printed directly by FDM using Acrylonitrile-Butadiene-Styrene (ABS) material. The soft tissue structures, such as soft internal organs, are fabricated by casting silicon materials of different compositions in FDM printed shell molds. Contrast agents of different compositions are added in the silicon materials to mimic different tissue contrasts in computed tomography (CT).The hard and the soft tissue structures are then assembled by fixture joints to maintain their positional fidelity. The assembly is then placed within a FDM printed shell mold of the body for further casting. The produced tissuesimulating phantoms are CT scanned and compared with that of the original computer models in order to verify the structural and positional fidelity. Our preliminary experiments showed that combining FDM with casting is an effective approach to produce solid phantoms with geometric and positional fidelities for potential surgical planning applications in many clinical interventions.

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Section: Methodsmentioning

confidence: 99%

Freeform fabrication of tissue-simulating phantoms by combining three-dimensional printing and casting

et al. 2016

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“…These properties describe tissue behavior under deformation and fracture. Polynomial hyperelastic models are collected from the literature [5] to describe the tissue under deformation. However, to our knowledge, there is no existing fracture data related to the breast tissue.…”

Section: Methodsmentioning

confidence: 99%

A System for Optimizing Medical Device Development Using Finite Element Analysis Predictions1

Lin

Srivastava

Coffey

et al. 2014

Journal of Medical Devices

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A virtual prototyping interface has been developed to enable creative forward and inverse design for medical device design evaluation [1]. Two featured wheel plots allow the designers to guide the interface and explore a multiparameter design space. We propose a system to allow computational tools to work effectively with big data and to ultimately achieve simulation-based medical device design [2].To demonstrate the proposed system, a design example of a vacuum-assisted breast biopsy (VABB) instrument is used. VABB is one of the most common minimally invasive procedures to retrieve tissue samples for breast cancer diagnosis. An accurate diagnosis requires tissue samples with sufficient volume and good contiguity [3]. To satisfy these design requirements, a designer has to be able to evaluate the cutting performance of potential solutions. In addition, tradeoffs for each of the design parameters have to be considered before making design decisions. For example, a solution that provides a higher rotary cutting speed can cut denser tissue more easily [4], but can be heavier or more expensive to produce because of the required motor selection. Therefore, enabling the designer to quickly relate one parameter to the others and find target designs becomes critical. This paper demonstrates an example of creating and exploring a design space for a VABB cutting problem. ANSYS Explicit STR is used to predict tissue-cutting performance for the evaluation of device components on a high-performance computing (HPC) batch system. By exploring the design space with wheel plots, a human designer is brought in the loop to evaluate the designs, balance the tradeoffs, and make informed design decisions. MethodsVacuum-assisted biopsy uses a rotation/translation coaxial needle and vacuum to sample breast tissue for diagnosis. The coaxial needle, which contains an outer cannula and an inner cutter, is inserted into the abnormal area of breast tissue. Vacuum suction pulls the tissue through an opening window on the cannula into

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“…A deformable silicon gel phantom was built to study the movement of a stiff inclusion inside a deformable environment under plate compression [4]. The geometry of the deformable phantom consists of a rectangular box (84x82x70mm) containing a rectangular inclusion (20x23x20mm), which is 4.3 times stiffer than the surrounding silicone.…”

Section: Validating the Methodmentioning

confidence: 99%

Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations

Azar

Metaxas

Schnall

2001

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001

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Abstract. Currently, High Field (1.5T) Superconducting MR imaging does not allow live guidance during needle breast procedures, which allow only to calculate approximately the location of a cancerous tumor in the patient breast before inserting the needle. It can then become relatively uncertain that the tissue specimen removed during the biopsy actually belongs to the lesion of interest. A new method for guiding clinical breast biopsy is presented, based on a deformable finite element model of the breast. The geometry of the model is constructed from MR data, and its mechanical properties are modeled using a non-linear material model. This method allows imaging the breast without or with mild compression before the procedure, then compressing the breast and using the finite element model to predict the tumor's position during the procedure in a total time of less than a half-hour.

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Methods for predicting mechanical deformations in the breast during clinical breast biopsy

Cited by 9 publications

References 1 publication

Freeform fabrication of tissue-simulating phantoms by combining three-dimensional printing and casting

Freeform fabrication of tissue-simulating phantoms by combining three-dimensional printing and casting

A System for Optimizing Medical Device Development Using Finite Element Analysis Predictions1

Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations

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