MR Navigated Breast Surgery: Method and Initial Clinical Experience

Carter, Tim; Tanner, Christine; Beechey-Newman, N.; Barratt, Dean C.; Hawkes, David J.

doi:10.1007/978-3-540-85990-1_43

Cited by 42 publications

(49 citation statements)

References 9 publications

(11 reference statements)

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“…Previous studies have simulated individual-specific deformation from the supine position (typical for surgical procedures) to the prone position (typically used in MR scanning) using homogeneous finite element (FE) models of the breast [1]. However, these studies required information derived from both supine and prone MR scans, and applied observed displacement boundary constraints to the models, which diminishes their capacity to predict deformation based only on the loading conditions.…”

Section: Introductionmentioning

confidence: 97%

Modelling Prone to Supine Breast Deformation Under Gravity Loading Using Heterogeneous Finite Element Models

Gamage

Boyes

Rajagopal

et al. 2012

Computational Biomechanics for Medicine

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Biomechanical models of the breast can be used to co-locate information between the various medical images to identify tumour locations, while also providing the ability to predict their locations during surgical procedures. We have created subject-specific, heterogeneous 3D finite element (FE) models of breast biomechanics to provide the ability to predict breast deformation under different loading conditions. We have verified the applicability of such modelling for simulating the prone to supine reorientation of the breast and obtained good agreement to ground-truth supine images obtained from breast MRI. In particular, we highlight the importance of modelling the pectoral muscles for gravity loading simulations.

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Section: Introductionmentioning

confidence: 97%

Modelling Prone to Supine Breast Deformation Under Gravity Loading Using Heterogeneous Finite Element Models

Gamage

Boyes

Rajagopal

et al. 2012

Computational Biomechanics for Medicine

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“…has been used extensively to model breast deformations and compression, including use for breast augmentation, 8,9 multimodality registration, [10][11][12][13][14][15][16][17][18] image-guided surgery, [19][20][21] and tumor tracking. 22,23 Several studies have tracked landmarks to within 5 mm.…”

Section: B Finite-element (Fe) Breast Modelsmentioning

confidence: 99%

Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation

Sturgeon

Kiarashi

et al. 2016

Med. Phys.

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Purpose: The authors are developing a series of computational breast phantoms based on breast CT data for imaging research. In this work, the authors develop a program that will allow a user to alter the phantoms to simulate the effect of gravity and compression of the breast (craniocaudal or mediolateral oblique) making the phantoms applicable to multimodality imaging. Methods: This application utilizes a template finite-element (FE) breast model that can be applied to their presegmented voxelized breast phantoms. The FE model is automatically fit to the geometry of a given breast phantom, and the material properties of each element are set based on the segmented voxels contained within the element. The loading and boundary conditions, which include gravity, are then assigned based on a user-defined position and compression. The effect of applying these loads to the breast is computed using a multistage contact analysis in FEBio, a freely available and well-validated FE software package specifically designed for biomedical applications. The resulting deformation of the breast is then applied to a boundary mesh representation of the phantom that can be used for simulating medical images. An efficient script performs the above actions seamlessly. The user only needs to specify which voxelized breast phantom to use, the compressed thickness, and orientation of the breast. Results: The authors utilized their FE application to simulate compressed states of the breast indicative of mammography and tomosynthesis. Gravity and compression were simulated on example phantoms and used to generate mammograms in the craniocaudal or mediolateral oblique views. The simulated mammograms show a high degree of realism illustrating the utility of the FE method in simulating imaging data of repositioned and compressed breasts. Conclusions: The breast phantoms and the compression software can become a useful resource to the breast imaging research community. These phantoms can then be used to evaluate and compare imaging modalities that involve different positioning and compression of the breast. C 2016 American Association of Physicists in Medicine. [http://dx

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“…While prone breast MRI is well suited for diagnosis, it is less suitable for use in combination with clinical applications such as surgery and ultrasound guided biopsy where the patient is in supine position (6,7). Given the scale of tissue deformations that are expected from a prone to supine geometry, achieving accurate deformation to guide a breast intervention is computationally challenging, time-consuming, and subject to substantial errors.…”

mentioning

confidence: 99%

Supine breast MRI

Siegler

Holloway

Causer

et al. 2011

Magnetic Resonance Imaging

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Purpose: To achieve high-quality unilateral supine breast magnetic resonance imaging (MRI) as a step to facilitate image aiding of clinical applications, which are often performed in the supine position. Contrastenhanced breast MRI is a powerful tool for the diagnosis of cancer. However, prone patient positioning typically used for breast MRI hinders its use for image aiding. Materials and Methods:A fixture and a flexible four-element receive coil were designed for patient-specific shaping and placement of the coil in close conformity to the supine breast. A 3D spoiled gradient sequence was modified to incorporate compensation of respiratory motion. The entire setup was tested in volunteer experiments and in a pilot patient study. Results:The flexible coil design and the motion compensation produced supine breast MR images of high diagnostic value. Variations in breast shape and in tissue morphology within the breast were observed between a supine and a diagnostic prone MRI of a patient. Conclusion:The presented supine breast MRI achieved an image quality comparable to diagnostic breast MRI. Since supine positioning is common in many clinical applications such as ultrasound-guided breast biopsy or breast-conserving surgery, the registration of the supine images will aid these applications.

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MR Navigated Breast Surgery: Method and Initial Clinical Experience

Cited by 42 publications

References 9 publications

Modelling Prone to Supine Breast Deformation Under Gravity Loading Using Heterogeneous Finite Element Models

Modelling Prone to Supine Breast Deformation Under Gravity Loading Using Heterogeneous Finite Element Models

Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation

Supine breast MRI

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