NDLI: Low-cost surface reconstruction for aesthetic results assessment and prediction in breast cancer surgery

Content Provider	IEEE Xplore Digital Library
Author	Lacher, R.M. Hipwell, J.H. Williams, N.R. Keshtgar, M.R.S. Hawkes, D.J. Stoyanov, D.
Copyright Year	2015
Description	Author affiliation: Centre for Med. Image Comput., Univ. Coll. London, London, UK (Lacher, R.M.; Hipwell, J.H.; Hawkes, D.J.; Stoyanov, D.) \|\| Clinical Trials Group, Univ. Coll. London, London, UK (Williams, N.R.) \|\| Dept. of Surg., Univ. Coll. London, London, UK (Keshtgar, M.R.S.)
Abstract	The high incidence and low mortality of breast cancer surgery has led to an increasing emphasis on the cosmetic outcome of surgical treatment. Advances in aesthetic evaluation, as well as surgical planning and outcome prediction, have been investigated by using geometrically precise 3D modelling of the breast surface prior to surgery and after the procedure. However, existing solutions are based on expensive site specific setups and remain weakly validated. In this paper, we explore the possibility of using low-cost RGBD cameras as an affordable and mobile system for breast surface reconstruction. The methodology relies on sensor calibration, uncertainty-driven point filtering, dense reconstruction and subsequent multi-view joint optimization to diffuse residual pose errors. Results from a phantom study, with ground truth obtained through commercially available scanners, indicate that the approach is promising with RMS errors in order of 2 mm. A clinical study shows the practical applicability of our method and compares favourably to high-end scanning solutions.
Starting Page	5871
Ending Page	5874
File Size	1702492
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Surface reconstruction Three-dimensional displays Cameras Breast Surgery Optimization
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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