Paper 13.012

S. B. Choppin et al., "Breast Volume Calculation Using a Low-Cost Scanning System", in Proc. of 4th Int. Conf. on 3D Body Scanning Technologies, Long Beach CA, USA, 2013, pp. 12-20, https://doi.org/10.15221/13.012.

Title:

Breast Volume Calculation Using a Low-Cost Scanning System

Authors:

Simon B. CHOPPIN 1, Heidi PROBST 2, Amit GOYAL 3, Sean CLARKSON 1, Jonathan WHEAT 1

1 Centre for Sports Engineering Research, Sheffield Hallam University, Sheffield, UK;
2 Centre for Health and Social Care Research, Sheffield Hallam University, Sheffield, UK;
3 Derby Hospitals, Derby, UK

Abstract:

Breast volume has been identified as a key metric in assessing patients for reconstructive surgery. Scanning systems have measured breast volume but they have tended to rely on expensive hardware and software. This paper discusses the development and assessment of an algorithm capable of calculating breast volume from 3D point data. A mannequin was scanned (using a custom, Kinect based scanning system) with one of two breast prostheses attached - 400g or 600g. Each scan was assessed by three independent operators: seven anatomical points were identified representing the boundary of the breast region, which was then isolated. A Coons patch was used to represent the invisible chest surface lying below the breast tissue. A trapezium rule based approach was used to calculate the volume of the enclosed region between the breast and chest surfaces. Breast volume was over-estimated by 130cc with the 400g prosthesis (30.3%) and 206cc (33.3%) with the 600g prosthesis, suggesting positive proportional bias. Average reliability was +-59.7cc for the 400g prosthesis (13.9%) and +-34.7cc for the 600g prosthesis (5.6%) - approaching the levels required to differentiate between implant sizes (25-50cc). Future work will focus on refining the hardware and software of this scanning system - minimising proportional basis and maximising reliability of measurement.

Details:

Full paper: 13.012.pdf
Proceedings: 3DBST 2013, 19-20 Nov. 2013, Long Beach California, USA
Pages: 12-20
DOI: https://doi.org/10.15221/13.012

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