Paper Info
Title
Registration Of Breast Surface Data Before And After Surgical Intervention
Abstract
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.
Year
DOI
Venue
2017
10.1007/978-3-319-58838-4_25
PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2017)
Keywords
Field
DocType
Data registration, Surface fitting, Surgical planing
Computer vision,Psychological intervention,Data registration,Breast cancer,Computer science,Surface fitting,Artificial intelligence,Medical physics,Image registration
Conference
Volume
ISSN
Citations 
10255
0302-9743
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Sílvia Bessa111.37
Hélder P. Oliveira26313.99