Prediction of Breast Deformities: A Step Forward for Planning Aesthetic Results After Breast Surgery

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Bessa, S (Author) Other; Zolfagharnasab, H (Author) Other; Pereira, E (Author) Other; Oliveira, HP (Author) FCUP

Conference proceedings International

Title: PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2017)

Pages: 267-276

8th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Univ Algarve, Faro, PORTUGAL, JUN 20-23, 2017

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00M-WZ7

DOI: 10.1007/978-3-319-58838-4_30

Abstract (EN): The development of a three-dimensional (3D) planing tool for breast cancer surgery requires the existence of proper deformable models of the breast, with parameters that can be manipulated to obtain the desired shape. However, modelling breast is a challenging task due to the lack of physical landmarks that remain unchanged after deformation. In this paper, the fitting of a 3D point cloud of the breast to a parametric model suitable for surgery planning is investigated. Regression techniques were used to learn breast deformation functions from exemplar data, resulting in comprehensive models easy to manipulate by surgeons. New breast shapes are modelled by varying the type and degree of deformation of three common deformations: ptosis, turn and top-shape.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10