In the last years, 3D scanning has replaced the low tech approach to acquire direct anthropometric measurements. These new methodologies provide a detailed digital model of the body and allow analysis of more complex information like volume, shape, curvature, and so on. The possibility to acquire the shape of soft tissues, such as the female human breast, has attracted the interest breast surgery special- ists. The main aim of this work is to propose an innovative strategy to automatically analyze 3D breast shape in order to describe them within a quantitative well dened framework. In particular we propose a scan- ning procedure for a proper acquisition of breast surfaces by using the handheld scanner Structure Sensor, as well as a framework to process 3D digital data to extract the shape information. The proposed method consists in two main parts: rstly, the acquired digital 3D surfaces are projected in a 2D space and a set of 17 geometrical landmarks are ex- tracted; then by exploiting Thin Plate Splines and Principal Components Analysis the original data are summarised and the breast shape is de- scribed by a small set of numerical parameters.

Breast shape parametrization through planar projections

GALLO, Giovanni;Allegra D;Milotta F;STANCO, FILIPPO;
2016-01-01

Abstract

In the last years, 3D scanning has replaced the low tech approach to acquire direct anthropometric measurements. These new methodologies provide a detailed digital model of the body and allow analysis of more complex information like volume, shape, curvature, and so on. The possibility to acquire the shape of soft tissues, such as the female human breast, has attracted the interest breast surgery special- ists. The main aim of this work is to propose an innovative strategy to automatically analyze 3D breast shape in order to describe them within a quantitative well dened framework. In particular we propose a scan- ning procedure for a proper acquisition of breast surfaces by using the handheld scanner Structure Sensor, as well as a framework to process 3D digital data to extract the shape information. The proposed method consists in two main parts: rstly, the acquired digital 3D surfaces are projected in a 2D space and a set of 17 geometrical landmarks are ex- tracted; then by exploiting Thin Plate Splines and Principal Components Analysis the original data are summarised and the breast shape is de- scribed by a small set of numerical parameters.
2016
978-3-319-48680-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/97888
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