Registration of Breast Surface Data Before and After Surgical Intervention

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Bessa, S (Autor) Outra; Oliveira, HP (Autor) FCUP

Ata de Conferência Internacional

Título: PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2017)

Páginas: 226-234

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

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

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00M-WZ9

DOI: 10.1007/978-3-319-58838-4_25

Abstract (EN): Surgery planing of breast cancer interventions is gaining importance among physicians, who recognize value in discussing the possible aesthetic outcomes of surgery with patients. Research is been propelled to create patient-specific breast models, but breast image registration algorithms are still limited, particularly for the purpose of matching pre- and post-surgical data of patient's breast surfaces. Yet, this is a fundamental task to learn prediction models of breast healing process after surgery. In this paper, a coarse-to-fine registration strategy is proposed to match breast surface data acquired before and after surgery. Methods are evaluated in their ability to register surfaces in an anatomical reliable way, and results suggest proper alignment adequated to be used as input to train deformable models.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9