Name
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 specialists. 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 defined framework. In particular we propose a scanning 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: firstly, the acquired digital 3D surfaces are projected in a 2D space and a set of 17 geometrical landmarks are extracted; then by exploiting Thin Plate Splines and Principal Components Analysis the original data are summarised and the breast shape is described by a small set of numerical parameters. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-48680-2_13 | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2016 |
Keywords | Field | DocType |
Breast,Medical,3D model,Principal component analysis,Thin plate splines | Computer vision,Planar projection,Thin plate spline,Curvature,Parametrization,Pattern recognition,Computer science,Artificial intelligence,Scanner,Digital data,Small set,Principal component analysis | Conference |
Volume | ISSN | Citations |
10016 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Gallo | 1 | 223 | 20.06 |
| Dario Allegra | 2 | 56 | 12.89 |
| Yaser Gholizade Atani | 3 | 0 | 0.34 |
| Filippo Luigi Maria Milotta | 4 | 5 | 5.95 |
| Filippo Stanco | 5 | 139 | 28.91 |
| Giuseppe Catanuto | 6 | 11 | 2.18 |