A review of biomechanically informed breast image registration

Hipwell, John H.; Vavourakis, Vasileios; Han, Lianghao; Mertzanidou, Thomy; Eiben, Björn; Hawkes, David J.

doi:10.1088/0031-9155/61/2/r1

Cited by 57 publications

(41 citation statements)

References 136 publications

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“…Several groups have proposed biomechanical breast models to register uncompressed volumetric breast data to the compressed one [9][10][11][12][13][14] , or to compressed projection mammographic data 13 . Within this framework, the authors modeled the breast deformation from prone to compressed prone position assuming linear elastic materials, zero residual stress and Dirichlet boundary conditions.…”

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

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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%

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

“…Several areas of research in DM and DBT, such as many of the approaches for scatter correction (Sechopoulos et al , 2007b; Feng and Sechopoulos, 2011; Feng et al , 2014; Diaz et al , 2014; Kim et al , 2015) and thickness correction (Snoeren and Karssemeijer, 2004; Kallenberg and Karssemeijer, 2012) algorithms, require simulating realistic 3D compressed breast shapes (some approaches for scatter correction such as the one proposed by Kim et al (2015) do not require this). Moreover, other areas of research like patient dosimetry (Dance, 1990; Dance et al , 2000; Sechopoulos et al , 2007a; Sechopoulos et al , 2012), breast density estimation (Pertuz et al , 2016; Gubern-Merida et al , 2014), image registration and segmentation (Richard et al , 2006; Hipwell et al , 2016), and 3D breast software phantoms (Bakic et al , 2002; Bakic et al , 2011; Wang et al , 2012; O’Connor et al , 2013; Hsu et al , 2013; Kiarashi et al , 2015) could also benefit from objective shape models of compressed breasts to improve their accuracy and relevance.…”

Section: Introductionmentioning

confidence: 99%

The compressed breast during mammography and breast tomosynthesis:in vivoshape characterization and modeling

2017

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Purpose To characterize and develop a patient-based 3D model of the compressed breast undergoing mammography and breast tomosynthesis. Methods During this IRB-approved, HIPAA-compliant study, 50 women were recruited to undergo 3D breast surface imaging with structured light (SL) during breast compression, along with simultaneous acquisition of a tomosynthesis image. A pair of SL systems were used to acquire 3D surface images by projecting 24 different patterns onto the compressed breast and capturing their reflection off the breast surface in approximately 12 – 16 seconds. The 3D surface was characterized and modeled via principal component analysis. The resulting surface model was combined with a previously developed 2D model of projected compressed breast shapes to generate a full 3D model. Results Data from ten patients were discarded due to technical problems during image acquisition. The maximum breast thickness (found at the chest-wall) had an average value of 56 mm, and decreased 13% towards the nipple (breast tilt angle of 5.2°). The portion of the breast not in contact with the compression paddle or the support table extended on average 17 mm, 18% of the chest-wall to nipple distance. The outermost point along the breast surface lies below the midline of the total thickness. A complete 3D model of compressed breast shapes was created and implemented as a software application available for download, capable of generating new random realistic 3D shapes of breasts undergoing compression. Conclusion Accurate characterization and modeling of the breast curvature and shape was achieved and will be used for various image processing and clinical tasks.

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“…Some examples of this research are scatter correction [7][8][9][10][11] and lesion detection algorithms. 12,13 However, other areas of research such as patient dosimetry, [14][15][16][17][18] image registration, 19,20 and 3D breast software phantoms [21][22][23][24][25][26][27][28] could also benefit from objective shape models of compressed breasts.…”

Section: Introductionmentioning

confidence: 99%

Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes

et al. 2017

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Purpose To develop a set of accurate 2D models of compressed breasts undergoing mammography or breast tomosynthesis, based on objective analysis, to accurately characterize mammograms with few linearly independent parameters, and to generate novel clinically realistic paired cranio-caudal (CC) and medio-lateral oblique (MLO) views of the breast. Methods We seek to improve on an existing model of compressed breasts by overcoming detector size bias, removing the nipple and non-mammary tissue, pairing the CC and MLO views from a single breast, and incorporating the pectoralis major muscle contour into the model. The outer breast shapes in 931 paired CC and MLO mammograms were automatically detected with an in-house developed segmentation algorithm. From these shapes three generic models (CC-only, MLO-only, and joint CC/MLO) with linearly independent components were constructed via principal component analysis (PCA). The ability of the models to represent mammograms not used for PCA was tested via leave-one-out cross-validation, by measuring the average distance error (ADE). Results The individual models based on six components were found to depict breast shapes with accuracy (mean ADE-CC=0.81 mm, ADE-MLO=1.64 mm, ADE-Pectoralis=1.61 mm), outperforming the joint CC/MLO model (p≤0.001). The joint model based on 12 principal components contains 99.5% of the total variance of the data, and can be used to generate new clinically realistic paired CC and MLO breast shapes. This is achieved by generating random sets of 12 principal components, following the Gaussian distributions of the histograms of each component, which were obtained from the component values determined from the images in the mammography database used. Conclusion Our joint CC/MLO model can successfully generate paired CC and MLO view shapes of the same simulated breast, while the individual models can be used to represent with high accuracy clinical acquired mammograms with a small set of parameters. This is the first step towards objective 3D compressed breast models, useful for dosimetry and scatter correction research, among other applications.

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A review of biomechanically informed breast image registration

Cited by 57 publications

References 136 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

The compressed breast during mammography and breast tomosynthesis:in vivoshape characterization and modeling

Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes

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