Fitting of superquadrics for breast modelling by geometric distance minimization

Author

Pernes, Diogo ; Cardoso, Jaime S. ; Oliveira, Helder P.

Author_Institution

Fac. de Eng., Univ. do Porto, Porto, Portugal

fYear

2014

fDate

2-5 Nov. 2014

Firstpage

293

Lastpage

296

Abstract

Breast cancer is one of the most mediated malignant diseases, because of its high incidence and prevalence, but principally due to its physical and psychological invasiveness. Surgeons and patients have often many options to consider for undergoing the procedure. The ability to visualise the potential outcomes of the surgery and make decisions on their surgical options is, therefore, very important for patients and surgeons. In this paper we investigate the fitting of a 3d point cloud of the breast to a parametric model usable in surgery planning, obtaining very promising results with real data.

Keywords

cancer; cloud computing; medical computing; minimisation; surgery; tumours; 3d point cloud; breast cancer; breast modelling; decision making; geometric distance minimization; mediated malignant diseases; parametric model; physical invasiveness; potential outcomes; psychological invasiveness; real data; superquadrics; surgery planning; surgical options; Breast; Computational modeling; Data models; Mathematical model; Shape; Surgery; Three-dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on

Conference_Location

Belfast

Type

conf

DOI

10.1109/BIBM.2014.6999171

Filename

6999171