Fitting of Superquadrics for Breast Modelling by Geometric Distance Minimization

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Pernes, D (Author) Other; Cardoso, JS (Author) FEUP; Oliveira, HP (Author) FEUP

Conference proceedings International

Title: Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

Pages: 293-296

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

2 November 2014 through 5 November 2014

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 4 Citations

Other information

Authenticus ID: P-00G-1BD

DOI: 10.1109/BIBM.2014.6999171

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4