A novel fully automatic measurement of apparent breast volume from trunk surface mesh

Séoud, Lama; Ramsay, Joyce; Parent, Stefan; Cheriet, Foued

doi:10.1016/j.medengphy.2017.01.004

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…The effect of interindividual variance is reduced by elastic registration, which compensates for deviations between points ( Fig PLOS ONE 5). An automated measurement of breast volume has been attempted from MRI images and 3D scans [42].…”

Section: Discussionmentioning

confidence: 99%

Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

et al. 2020

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Background Three-dimensional (3D) scanning is an established method of breast volume estimation. However, this method can never be entirely precise, since the thoracic wall cannot be imaged by the surface scanner. Current methods rely on interpolation of the posterior breast border from the surrounding thoracic wall. Here, we present a novel method to calculate the posterior border and increase the accuracy of the measurement. Methods Using principal component analysis, computed tomography images were used to build a statistical shape model (SSM) of the thoracic wall. The model was fitted to 3D images and the missing thoracic wall curvature interpolated (indirect volumetry). The calculations were evaluated by ordinary least squares regression between the preoperative and postoperative volume differences and the resection weights in breast reduction surgery (N = 36). Also, an SSM of the breast was developed, allowing direct volumetry. Magnetic-resonance images (MRI) and 3D scans were acquired from 5 patients in order to validate the direct 3D volumetry. Results Volumetry based on a SSM exhibited a higher determination coefficient (R2 = 0,737) than the interpolation method (R2 = 0,404). The methods were not equivalent (p = 0.75), suggesting that the methods significantly differ. There was no influence of BMI on the correlation in either method. The MRI volumetry had a strong correlation with the 3D volumetry (R2 = 0,978). Conclusion The SSM-based method of posterior breast border calculation is reliable and superior to the currently used method of interpolation. It should serve as a basis of software applications aiming at calculation of breast volume from 3D surface scanning data.

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Section: Discussionmentioning

confidence: 99%

Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

et al. 2020

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show abstract

“…The effect of interindividual variance is reduced by elastic registration, which compensates for deviations between points ( Figure 5). An automated measurement of breast volume has been attempted from MRI images and 3D scans [42].…”

Section: Discussionmentioning

confidence: 99%

Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

Göpper

Neubauer

Kalash

et al. 2020

Preprint

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Background: Three-dimensional (3D) scanning is an established method of breast volume estimation. However, this method can never be entirely precise, since the thoracic wall cannot be imaged by the surface scanner. Current methods rely on interpolation of the posterior breast border from the surrounding thoracic wall. Here, we present a novel method to calculate the posterior border and increase the accuracy of the measurement. Methods:Using principal component analysis, computed tomography images were used to build a statistical shape model (SSM) of the thoracic wall. The model was fitted to 3D images and the missing thoracic wall curvature interpolated (indirect volumetry). The calculations were evaluated by ordinary least squares regression between the preoperative and postoperative volume differences and the resection weights in breast reduction surgery (N=36). Also, an SSM of the breast was developed, allowing direct volumetry. Magnetic-resonance images (MRI) and 3D scans were acquired from 5 patients in order to validate the direct 3D volumetry.Results: Volumetry based on a SSM exhibited a higher determination coefficient (R 2 =0,737) than the interpolation method (R 2 =0,404). The methods were not equivalent (p=0.75), suggesting that the methods significantly differ. There was no influence of BMI on the correlation in either method. The MRI volumetry had a strong correlation with the 3D volumetry (R 2 =0,978). Conclusion:The SSM-based method of posterior breast border calculation is reliable and superior to the currently used method of interpolation. It should serve as a basis of software applications aiming at calculation of breast volume from 3D surface scanning data. 3

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“…This program was designed based on the discrete curvature of a triangular mesh model, which is a value that represents the curve angle of the surface formed with an adjacent vertex for each vertex constituting the polyhedral surface of the 3D model. This is a typical method widely used to express the characteristics of a polyhedral surface [8][9][10] . The initial 3D CT images were demonstrated in a DICOM file format, and switched into OBJ files using a standard software (InVesalius, Renato Archer Information Technology Center, Campinas, Brazil).…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, image analysis software was developed to determine whether the facial bone surface achieves a smooth curve after corrective surgery. The discrete curvature of a triangular mesh model was utilized in the assessment process [8][9][10] . Various polyhedral mesh models have been introduced to evaluate a convoluted surface preserving innate topology 11 .…”

mentioning

confidence: 99%

Objective analysis of facial bone fracture CT images using curvature measurement in a surface mesh model

Kim

Seo

Yoo

et al. 2023

Sci Rep

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The human facial skeleton consists of multiple segments and causes difficulty during analytic processes. We developed image analysis software to quantify the amount of injury and validate the smooth curvature of the surface after facial bone reduction surgery. Three-dimensional computed tomography images of facial bone were obtained from 40 patients who had undergone open reduction surgery to treat unilateral zygomaticomaxillary fractures. Analytic software was developed based on the discrete curvature of a triangular mesh model. The discrete curvature values were compared before and after surgery using two regions of interest. For the inferior orbital rim, the weighted average of curvature changed from 0.543 ± 0.034 to 0.458 ± 0.042. For the anterior maxilla, the weighted average of curvature changed from 0.596 ± 0.02 to 0.481 ± 0.031, showing a significant decrement (P < 0.05). The curvature was further compared with the unaffected side using the Bray–Curtis similarity index (BCSI). The BCSI of the inferior orbital rim changed from 0.802 ± 0.041 to 0.904 ± 0.015, and that for the anterior maxilla changed from 0.797 ± 0.029 to 0.84 ± 0.025, demonstrating increased similarity (P < 0.05). In computational biology, adequate analytic software is crucial. The newly developed software demonstrated significant differentiation between pre- and postoperative curvature values. Modification of formulas and software will lead to further advancements.

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A novel fully automatic measurement of apparent breast volume from trunk surface mesh

Cited by 8 publications

References 25 publications

Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

Objective analysis of facial bone fracture CT images using curvature measurement in a surface mesh model

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