Imperial College London

Professor Kitney

Faculty of EngineeringDepartment of Bioengineering

Professor of BioMedical Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6226r.kitney Website

 
 
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Assistant

 

Ms Tania Briggs +44 (0)20 7594 6226

 
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Location

 

3.16Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Chi:2007:10.1007/978-3-540-36841-0_605,
author = {Chi, Y and Kitney, RI and Cashman, P},
doi = {10.1007/978-3-540-36841-0_605},
pages = {2398--2402},
title = {Automatic cartilage detection in MR image sets using CDSG snake},
url = {http://dx.doi.org/10.1007/978-3-540-36841-0_605},
year = {2007}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - © International Federation for Medical and Biological Engineering 2007. A new fast algorithm integrates an enhanced general GVF forces with upwind direction constraints and implements a fast directional distance transform outside narrow bands masked over the bone boundaries. The method was evaluated on >100 synthetic and real MR images, including cartilage. We refer to this as the Chessboard Directional Sharpened GVF snake, or CDSG. The algorithm is robust to weak image features and even invisibly contacting boundaries. Compared with the GGVF Snake, our method is more tolerant of disconnected or fuzzy edges and noise; more precise; and nearly 3 times faster. Applying to MR image sets, it uses the achieved detection result of the adjacent slide as the initialization of the current. The numerical solution is built on a level set approach. It supports multiple Snakes and allows effective detection of cartilage thinning.
AU - Chi,Y
AU - Kitney,RI
AU - Cashman,P
DO - 10.1007/978-3-540-36841-0_605
EP - 2402
PY - 2007///
SN - 1680-0737
SP - 2398
TI - Automatic cartilage detection in MR image sets using CDSG snake
UR - http://dx.doi.org/10.1007/978-3-540-36841-0_605
ER -