TY - JOUR
T1 - Computational tools for quantitative breast morphometry based on 3D scans
AU - Chen, D.
AU - Chittajallu, D. R.
AU - Passalis, G.
AU - Kakadiaris, I. A.
N1 - Funding Information:
This study was supported in part by NSF BES-0402591. Any opinions, findings, conclusions, or recommendations expressed in this material are of the authors and may not reflect the views of the sponsors. We would like to thank Dr. M. Miller and Dr. C. Patrick from the Department of Plastic Surgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA, for providing us with the data and their invaluable advice.
PY - 2010/5
Y1 - 2010/5
N2 - Quantitative analysis of breast morphometry is critical to breast plastic surgery. Recently, three-dimensional (3D) photography has emerged as a strong new alternative for breast morphometry analysis in comparison to other existing techniques. 3D photography enables the capture of the entire breast surface topology virtually in a single snapshot and without any direct contact with the patient, thus causing minimal discomfort. In this paper, we present a set of computational tools for the quantitative analysis of two key morphological properties of the breast that are of interest to breast plastic surgery based on 3D scans, namely breast shape and volume. The breast shape is modeled using a compact geometric model capable of capturing the global shape of the breast with very few parameters. Specifically, the shape model is deduced by applying a set of five global deformations to a geometric primitive. These deformations, defined using very intuitive parameters, closely model the key shape variables that surgeons inherently use to describe the overall shape of the breast. Patient-specific parameters of the breast shape model are automatically recovered by fitting a generic breast shape model to the 3D scan of the patient's breast using a physics-based deformable model framework. The mean error of fit between the automatically fitted shape model and the actual breast surface for 12 subjects varied between 0.9 and 2.6 mm. These results are very encouraging considering the fact that only 17 parameters are used to determine the shape of the breast. The breast volume is estimated automatically by first localizing the breast on a 3D scan of the patient's torso and then computing the volume enclosed between an interpolated breast-less torso surface and the actual breast. The volume estimated by the proposed method was found to be within the intra-operator variability among five segmentation trials performed manually by an expert on 3D torso scans of three subjects.
AB - Quantitative analysis of breast morphometry is critical to breast plastic surgery. Recently, three-dimensional (3D) photography has emerged as a strong new alternative for breast morphometry analysis in comparison to other existing techniques. 3D photography enables the capture of the entire breast surface topology virtually in a single snapshot and without any direct contact with the patient, thus causing minimal discomfort. In this paper, we present a set of computational tools for the quantitative analysis of two key morphological properties of the breast that are of interest to breast plastic surgery based on 3D scans, namely breast shape and volume. The breast shape is modeled using a compact geometric model capable of capturing the global shape of the breast with very few parameters. Specifically, the shape model is deduced by applying a set of five global deformations to a geometric primitive. These deformations, defined using very intuitive parameters, closely model the key shape variables that surgeons inherently use to describe the overall shape of the breast. Patient-specific parameters of the breast shape model are automatically recovered by fitting a generic breast shape model to the 3D scan of the patient's breast using a physics-based deformable model framework. The mean error of fit between the automatically fitted shape model and the actual breast surface for 12 subjects varied between 0.9 and 2.6 mm. These results are very encouraging considering the fact that only 17 parameters are used to determine the shape of the breast. The breast volume is estimated automatically by first localizing the breast on a 3D scan of the patient's torso and then computing the volume enclosed between an interpolated breast-less torso surface and the actual breast. The volume estimated by the proposed method was found to be within the intra-operator variability among five segmentation trials performed manually by an expert on 3D torso scans of three subjects.
KW - Breast morphometry
KW - Breast plastic surgery
KW - Breast reconstruction
KW - Breast shape model
KW - Breast volume estimation
KW - Computer-aided Surgery
KW - Deformable model
KW - Surgical planning
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U2 - 10.1007/s10439-010-9971-z
DO - 10.1007/s10439-010-9971-z
M3 - Article
C2 - 20300850
AN - SCOPUS:77952007311
SN - 0090-6964
VL - 38
SP - 1703
EP - 1718
JO - Annals of Biomedical Engineering
JF - Annals of Biomedical Engineering
IS - 5
ER -