Registration of Breast Surface Data Before and After Surgical Intervention

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

Authors

Bessa, S (Author) Other; Oliveira, HP (Author) FCUP

Conference proceedings International

Title: PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2017)

Pages: 226-234

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

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

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Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9