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Lavigne T, Mazier A, Perney A, Bordas SPA, Hild F, Lengiewicz J. Digital Volume Correlation for large deformations of soft tissues: Pipeline and proof of concept for the application to breast ex vivo deformations. J Mech Behav Biomed Mater 2022; 136:105490. [PMID: 36228403 DOI: 10.1016/j.jmbbm.2022.105490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/21/2022] [Accepted: 09/26/2022] [Indexed: 11/26/2022]
Abstract
Being able to reposition tumors from prone imaging to supine surgery stances is key for bypassing current invasive marking used for conservative breast surgery. This study aims to demonstrate the feasibility of using Digital Volume Correlation (DVC) to measure the deformation of a female quarter thorax between two different body positioning when subjected to gravity. A segmented multipart mesh (bones, cartilage and tissue) was constructed and a three-step FE-based DVC procedure with heterogeneous elastic regularization was implemented. With the proposed framework, the large displacement field of a hard/soft breast sample was recovered with low registration residuals and small error between the measured and manually determined deformations of phase interfaces. The present study showed the capacity of FE-based DVC to faithfully capture large deformations of hard/soft tissues.
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Affiliation(s)
- T Lavigne
- Institute of Computational Engineering, Department of Engineering, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette, L-4364, Luxembourg
| | - A Mazier
- Institute of Computational Engineering, Department of Engineering, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette, L-4364, Luxembourg
| | - A Perney
- Institute of Computational Engineering, Department of Engineering, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette, L-4364, Luxembourg; Centre des Materiaux, Mines ParisTech, PSL University, 63-65 Rue Henri Auguste Desbrueres, Corbeil-Essonnes, 91100, France
| | - S P A Bordas
- Institute of Computational Engineering, Department of Engineering, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette, L-4364, Luxembourg; Visiting professor at Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan.
| | - F Hild
- University Paris-Saclay, CentraleSupelec, ENS Paris-Saclay, CNRS, LMPS-Laboratoire de Mecanique Paris-Saclay, 4 avenue des Sciences, 91190, Gif-sur-Yvette, France
| | - J Lengiewicz
- Institute of Computational Engineering, Department of Engineering, University of Luxembourg, 6, avenue de la Fonte, Esch-sur-Alzette, L-4364, Luxembourg; Institute of Fundamental Technological Research, Polish Academy of Sciences (IPPT PAN), Pawinskiego 5B, Warsaw, 02-106, Poland
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Abstract
Although half the world's population will develop breasts, there is limited research documenting breast structure or motion. Understanding breast structure and motion, however, is imperative for numerous applications, such as breast reconstruction, breast modeling to better diagnose and treat breast pathologies, and designing effective sports bras. To be impactful, future breast biomechanics research needs to fill gaps in our knowledge, particularly related to breast composition and density, and to improve methods to accurately measure the complexities of three-dimensional breast motion. These methods should then be used to investigate breast biomechanics while individuals, who represent the full spectrum of women in the population, participate in a broad range of activities of daily living and recreation.
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Affiliation(s)
- Deirdre E McGhee
- Biomechanics Research Laboratory, University of Wollongong, Wollongong, Australia
| | - Julie R Steele
- Biomechanics Research Laboratory, University of Wollongong, Wollongong, Australia
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Clinical Assessment of Breast Volume: Can 3D Imaging Be the Gold Standard? PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN 2020; 8:e3236. [PMID: 33299702 PMCID: PMC7722547 DOI: 10.1097/gox.0000000000003236] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 09/14/2020] [Indexed: 11/26/2022]
Abstract
Background: Three-dimensional (3D) camera systems are increasingly used for computerized volume calculations. In this study we investigate whether the Vectra XT 3D imaging system is a reliable tool for determination of breast volume in clinical practice. It is compared with the current gold standard in literature, magnetic resonance imaging (MRI), and current clinical practice (plastic surgeon’s clinical estimation). Methods: Breast volumes of 29 patients (53 breasts) were evaluated. 3D images were acquired by Vectra XT 3D imaging system. Pre-existing breast MRI images were collected. Both imaging techniques were used for volume analyses, calculated by two independent investigators. Breast volume estimations were done by plastic surgeons during outpatient consultations. All volume measurements were compared using paired samples t-test, intra-class correlation coefficient, Pearson’s correlation, and Bland–Altman analysis. Results: Two 3D breast volume measurements showed an excellent reliability (intra-class correlation coefficient: 0.991), which was comparable to the reliability of MRI measurements (intra-class correlation coefficient: 0.990). Mean (SD) breast volume measured with 3D breast volume was 454 cm3 (157) and with MRI was 687 cm3 (312). These volumes were significantly different, but a linear association could be found: y(MRI) = 1.58 × (3D) – 40. Three-dimensional breast volume was not significantly different from volume estimation made by plastic surgeons (472 cm3 (69), P = 0.323). Conclusions: The 3D imaging system measures lower volumes for breasts than MRI. However, 3D measurements show a linear association with MRI and have excellent reliability, making them an objective and reproducible measuring method suitable for clinical practice.
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Hajhashemkhani M, Hematiyan MR. The identification of the unloaded configuration of breast tissue with unknown non-homogenous stiffness parameters using surface measured data in deformed configuration. Comput Biol Med 2020; 128:104107. [PMID: 33220593 DOI: 10.1016/j.compbiomed.2020.104107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 10/16/2020] [Accepted: 11/04/2020] [Indexed: 01/09/2023]
Abstract
Large deformation analysis of the breast is known as a useful approach for locating the tumor and treatment strategies of breast cancer, for which knowing the breast stiffness parameters and unloaded configuration is crucial to obtain reliable results. In this study, an iterative inverse finite element algorithm is developed to identify the unloaded configuration of the breast while its stiffness constants are unknown and its internal structure is assumed to be non-homogeneous. The position vector of surface points in the deformed configuration of the breast is employed to obtain the unknowns of the inverse problem. An objective function based on the difference between the position vector of the calculated and measured deformed configurations is defined. Thereafter, the objective function is minimized using a gradient-based method. The sensitivity analysis for material parameters is performed using an analytic direct differentiation approach. Through several numerical examples, the effectiveness of the proposed inverse method for identifying the unloaded configuration of a uniform, a computational breast phantom with a single inclusion as well as a computational breast phantom with randomly distributed stiffness, is demonstrated. The effects of the number of load cases, measurement error, and initial guesses on the results of the inverse problem are investigated, as well. It is observed that the unloaded configuration of the computational breast phantom with a single inclusion or heterogeneous breast tissues can be accurately found by considering an equivalent homogenous material for the tissue.
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Affiliation(s)
- M Hajhashemkhani
- Department of Mechanical Engineering, Shiraz University, Shiraz, 71936, Iran
| | - M R Hematiyan
- Department of Mechanical Engineering, Shiraz University, Shiraz, 71936, Iran.
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Chen B, Genovese K, Pan B. In vivo panoramic human skin shape and deformation measurement using mirror-assisted multi-view digital image correlation. J Mech Behav Biomed Mater 2020; 110:103936. [PMID: 32957231 DOI: 10.1016/j.jmbbm.2020.103936] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 06/06/2020] [Accepted: 06/13/2020] [Indexed: 11/29/2022]
Abstract
Panoramic shape and deformation measurements of human skin in vivo may provide important information for biomechanical analysis, exercise guidance and medical diagnosis. This work proposes the application of an advanced mirror-assisted multi-view digital image correlation (DIC) method for dynamic measurements of 360-deg shape and deformation of human body parts in vivo. The main advantage of this method consists in its capabilities to perform full-panoramic non-contact measurements with a single pair of synchronized cameras and two planar mirrors thus representing a lean yet effective alternative to conventional multi-camera DIC systems in 'surrounding' configuration. We demonstrate the capabilities of this method by measuring the full-panoramic shape of a plastic human head, the deformation of a woman face and the principal strain distribution over the full-360-deg surface of a forearm during fist clenching. The applications of this method can be the most disparate but, given the possibility to determine the full-field strains and derived information (e.g. skin tension lines), we envisage a great potential for the study of skin biomechanics in vivo.
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Affiliation(s)
- Bin Chen
- Institute of Solid Mechanics, Beihang University, Beijing, 10091, China
| | - Katia Genovese
- School of Engineering, University of Basilicata, Potenza, 85100, Italy
| | - Bing Pan
- Institute of Solid Mechanics, Beihang University, Beijing, 10091, China.
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Change in Incisional Design in Primary Unilateral Cleft Lip Repair Under General Anesthesia. J Craniofac Surg 2020; 31:e401-e405. [PMID: 32209931 DOI: 10.1097/scs.0000000000006399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Nasolabial features of infants with unilateral cleft lip (UCL) are different when they are under general anesthesia for lip repair compared to when they are awake. This study aimed to investigate changes in the incisional design of cheiloplasty according to patient position and anesthesia: upright and awake versus supine and under general anesthesia. Three-dimensional images of 20 infants with UCL were randomly selected. Two different incisional designs were drawn on the images captured while the infants were awake. Those incisional designs were anthropometrically compared to the designs drawn on the images captured while the infants were under general anesthesia. Under general anesthesia, vermillion height of both the medial and lateral sides of the cleft became significantly greater. In the rotation-advancement design, the incisional line of the rotation flap on the medial lip element became significantly shorter under general anesthesia, whereas the advancement flap on the lateral lip element was not significantly altered. In an anatomical subunit approximation, both lengths of the philtral ridge on the noncleft side and incisional line along the philtral ridge on the cleft side became significantly shorter under general anesthesia, but these alterations did not affect the calculation of the width of the small triangular flap on the lateral lip element. These changes in nasolabial features after general anesthesia may cause surgical error, which result in secondary cleft lip deformities. However, because these changes varied among infants, preoperative planning using three-dimensional facial images of infants who are awake may be able to avoid surgical error.
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Diab M, Kumaraswamy N, Reece GP, Hanson SE, Fingeret MC, Markey MK, Ravi-Chandar K. Characterization of human female breast and abdominal skin elasticity using a bulge test. J Mech Behav Biomed Mater 2020; 103:103604. [PMID: 32090931 DOI: 10.1016/j.jmbbm.2019.103604] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 11/15/2019] [Accepted: 12/20/2019] [Indexed: 11/19/2022]
Abstract
Characterization of material properties of human skin is required to develop a physics-based biomechanical model that can predict deformation of female breast after cosmetic and reconstructive surgery. In this paper, we have adopted an experimental approach to characterize the biaxial response of human skin using bulge tests. Skin specimens were harvested from breast and abdominal skin of female subjects who underwent mastectomy and/or reconstruction at The University of Texas MD Anderson Cancer Center and who provided informed consent. The specimens were tested within 2 h of harvest, and after freezing for different time periods but not exceeding 6 months. Our experimental results show that storage in a freezer at -20 °C for up to about 40 days does not lead to changes in the mechanical response of the skin beyond statistical variation. Moreover, displacement at the apex of the bulged specimen versus applied pressure varies significantly between different specimens from the same subject and from different subjects. The bulge test results were used in an inverse optimization procedure in order to calibrate two different constitutive material models - the angular integration model proposed by Lanir (1983) and the generalized structure tensor formulation of Gasser et al. (2006). The material parameters were estimated through a cost function that penalized deviations of the displacement and principal curvatures at the apex. Generally, acceptable fits were obtained with both models, although the angular integration model was able to fit the curvatures slightly better than the Gasser et al. model. The range of the model parameters has been extracted for use in physics-based biomechanical models of the breast.
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Affiliation(s)
- Mazen Diab
- Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin, Austin, TX, USA; Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
| | - Nishamathi Kumaraswamy
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Gregory P Reece
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Summer E Hanson
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michelle C Fingeret
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mia K Markey
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Krishnaswamy Ravi-Chandar
- Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin, Austin, TX, USA
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Lapuebla-Ferri A, Cegoñino-Banzo J, Jiménez-Mocholí AJ, Del Palomar AP. Towards an in-plane methodology to track breast lesions using mammograms and patient-specific finite-element simulations. Phys Med Biol 2017; 62:8720-8738. [PMID: 29091591 DOI: 10.1088/1361-6560/aa8d62] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
In breast cancer screening or diagnosis, it is usual to combine different images in order to locate a lesion as accurately as possible. These images are generated using a single or several imaging techniques. As x-ray-based mammography is widely used, a breast lesion is located in the same plane of the image (mammogram), but tracking it across mammograms corresponding to different views is a challenging task for medical physicians. Accordingly, simulation tools and methodologies that use patient-specific numerical models can facilitate the task of fusing information from different images. Additionally, these tools need to be as straightforward as possible to facilitate their translation to the clinical area. This paper presents a patient-specific, finite-element-based and semi-automated simulation methodology to track breast lesions across mammograms. A realistic three-dimensional computer model of a patient's breast was generated from magnetic resonance imaging to simulate mammographic compressions in cranio-caudal (CC, head-to-toe) and medio-lateral oblique (MLO, shoulder-to-opposite hip) directions. For each compression being simulated, a virtual mammogram was obtained and posteriorly superimposed to the corresponding real mammogram, by sharing the nipple as a common feature. Two-dimensional rigid-body transformations were applied, and the error distance measured between the centroids of the tumors previously located on each image was 3.84 mm and 2.41 mm for CC and MLO compression, respectively. Considering that the scope of this work is to conceive a methodology translatable to clinical practice, the results indicate that it could be helpful in supporting the tracking of breast lesions.
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Affiliation(s)
- Andrés Lapuebla-Ferri
- Department of Continuum Mechanics and Theory of Structures, School of Industrial Engineering, Universitat Politècnica de València, Camino de Vera s/n. E-46022 Valencia, Spain
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Chen Z, Shao X, He X, Wu J, Xu X, Zhang J. Noninvasive, three-dimensional full-field body sensor for surface deformation monitoring of human body in vivo. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:1-10. [PMID: 28901052 DOI: 10.1117/1.jbo.22.9.095001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 08/21/2017] [Indexed: 06/07/2023]
Abstract
Noninvasive, three-dimensional (3-D), full-field surface deformation measurements of the human body are important for biomedical investigations. We proposed a 3-D noninvasive, full-field body sensor based on stereo digital image correlation (stereo-DIC) for surface deformation monitoring of the human body in vivo. First, by applying an improved water-transfer printing (WTP) technique to transfer optimized speckle patterns onto the skin, the body sensor was conveniently and harmlessly fabricated directly onto the human body. Then, stereo-DIC was used to achieve 3-D noncontact and noninvasive surface deformation measurements. The accuracy and efficiency of the proposed body sensor were verified and discussed by considering different complexions. Moreover, the fabrication of speckle patterns on human skin, which has always been considered a challenging problem, was shown to be feasible, effective, and harmless as a result of the improved WTP technique. An application of the proposed stereo-DIC-based body sensor was demonstrated by measuring the pulse wave velocity of human carotid artery.
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Affiliation(s)
- Zhenning Chen
- Southeast University, Department of Engineering Mechanics, Nanjing, China
- University of Toronto, Faculty of Dentistry, Toronto, Ontario, Canada
| | - Xinxing Shao
- Southeast University, Department of Engineering Mechanics, Nanjing, China
| | - Xiaoyuan He
- Southeast University, Department of Engineering Mechanics, Nanjing, China
| | - Jialin Wu
- Southeast University, Department of Engineering Mechanics, Nanjing, China
| | - Xiangyang Xu
- Southeast University, Department of Engineering Mechanics, Nanjing, China
| | - Jinlin Zhang
- Southeast University, Department of Engineering Mechanics, Nanjing, China
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Seoud L, Ramsay J, Parent S, Cheriet F. A novel fully automatic measurement of apparent breast volume from trunk surface mesh. Med Eng Phys 2017; 41:46-54. [PMID: 28126421 DOI: 10.1016/j.medengphy.2017.01.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 09/26/2016] [Accepted: 01/01/2017] [Indexed: 11/30/2022]
Abstract
This paper presents a novel method for assessing apparent breast volume from trunk surface mesh without any manual intervention. The proposed method requires a closed and smooth triangular mesh of the trunk. It comprises four main steps: automatic nipple localization, automatic breasts delineation, chest-wall interpolation and volume computation. The mean curvature is computed for each vertex using a quadratic fitting approach and used as an indicator to determine the convex fold of the breasts. The delineation is modeled as an ellipse in the frontal plane and all the vertices inside it are removed. The remaining ones are used to interpolate the chest wall with radial basis functions. The voxels inside the resulting mesh without breasts are then subtracted from the original voxelized volume to generate the breasts volume. The validation is conducted on 30 adolescent female for each of which an MRI and a trunk surface (TS) acquisitions were available. Three breast volumes are considered: the anatomical volumes (AV) manually segmented on the MRI, the external volumes computed with the proposed method first in prone position (EVP) using the trunk mesh extracted from the MRI, and second, in standing position (EVS) using the TS's mesh. Significant correlations (R> 0.77) are found between each two of the three volumes. AVs are much larger than both EVS and EPS. In fact, the manual segmentation using MRI slices allows for a direct visualization of the breast posterior delineation. Computed automatically, EVS and EPS are highly similar, indicating that the proposed method is robust to changes from prone to standing position. No significant difference between the regressions on the left and right breasts is noted. Fully-automatic 3D breast volumetry from trunk surface mesh is feasible and provides measurements that are highly correlated to manual MRI volumetry and robust to changes in posture.
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Affiliation(s)
| | - Joyce Ramsay
- Sainte Justine University Hospital Research Center, Montreal, Canada
| | - Stefan Parent
- Sainte Justine University Hospital Research Center, Montreal, Canada
| | - Farida Cheriet
- Department of Computer and Software Engineering, Polytechnique Montreal, Canada; Sainte Justine University Hospital Research Center, Montreal, Canada
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3D surface imaging of the human female torso in upright to supine positions. Med Eng Phys 2015; 37:375-83. [PMID: 25703742 PMCID: PMC4380553 DOI: 10.1016/j.medengphy.2015.01.011] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 01/09/2015] [Accepted: 01/18/2015] [Indexed: 11/20/2022]
Abstract
Three-dimensional (3D) surface imaging of breasts is usually done with the patient in an upright position, which does not permit comparison of changes in breast morphology with changes in position of the torso. In theory, these limitations may be eliminated if the 3D camera system could remain fixed relative to the woman’s torso as she is tilted from 0 to 90 degrees. We mounted a 3dMDtorso imaging system onto a bariatric tilt table to image breasts at different tilt angles. The images were validated using a rigid plastic mannequin and the metrics compared to breast metrics obtained from 5 subjects with diverse morphology. The differences between distances between the same fiducial marks differed between the supine and upright positions by less than one percent for the mannequin, whereas the differences for distances between the same fiducial marks on the breasts of the 5 subjects differed significantly and could be correlated with body mass index and brassiere cup size for each position change. We show that a tilt table - 3D imaging system can be used to determine quantitative changes in the morphology of ptotic breasts when the subject is tilted to various angles.
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