Fitting of Superquadrics for Breast Modelling by Geometric Distance Minimization

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

Pernes, D (Autor) Outra; Cardoso, JS (Autor) FEUP; Oliveira, HP (Autor) FEUP

Ata de Conferência Internacional

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

Páginas: 293-296

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

2 November 2014 through 5 November 2014

Indexação

ISI Web of Knowledge - 8 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4