Paper Info
Title
Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework.
Abstract
Patient-specific surgical predictions of Breast Conserving Therapy, through mechano-biological simulations, could inform the shared decision making process between clinicians and patients by enabling the impact of different surgical options to be visualised. We present an overview of our processing workflow that integrates MR images and three dimensional optical surface scans into a personalised model. Utilising an interactively generated surgical plan, a multi-scale open source finite element solver is employed to simulate breast deformity based on interrelated physiological and biomechanical processes that occur post surgery. Our outcome predictions, based on the pre-surgical imaging, were validated by comparing the simulated outcome with follow-up surface scans of four patients acquired 6 to 12 months post-surgery. A mean absolute surface distance of 3.3mm between the follow-up scan and the simulation was obtained.
Year
DOI
Venue
2016
10.1007/978-3-319-41546-8_35
Lecture Notes in Computer Science
Keywords
DocType
Volume
Breast imaging,Oncoplastic breast surgery,Surgical planning,Image registration,Surface reconstruction,Finite element,Mathematical modelling
Conference
9699
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
2
24
Name
Order
Citations
PageRank
Björn Eiben100.34
Rene M. Lacher200.34
Vasileios Vavourakis363.15
John H. Hipwell424332.58
Danail Stoyanov5151.39
Norman R. Williams600.34
Jörg Sabczynski750.81
Thomas Bülow800.34
Dominik Kutra962.00
Kirsten Meetz10479.02
Stewart Young1100.34
H Barschdorf12497.69
Hélder P. Oliveira1391.80
Jaime S. Cardoso14876.52
João P. Monteiro1541.23
Hooshiar Zolfagharnasab1662.74
Ralph Sinkus1700.34
Pedro Gouveia1800.34
Gerrit-Jan Liefers1900.34
Barbara Molenkamp2000.34
Cornelis J. H. van de Velde2100.68
David J. Hawkes224262470.26
Maria João Cardoso2300.34
Mohammed Keshtgar2400.34