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

@article{Poh:2009:10.1109/TITB.2008.2007667,
author = {Poh, C-L and Kitney, RI and Akhtar, S},
doi = {10.1109/TITB.2008.2007667},
journal = {IEEE Trans Inf Technol Biomed},
pages = {546--553},
title = {Web-based multilayer viewing interface for knee cartilage.},
url = {http://dx.doi.org/10.1109/TITB.2008.2007667},
volume = {13},
year = {2009}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Many adults suffer from osteoarthritis (OA) with the majority of people over 65 showing radiographic evidence of the disease. To carry out effective diagnosis and treatment, it is necessary to understand the progression of cartilage loss and study the effectiveness of therapeutic interventions. Hence, it is important to have accurate, fast diagnosis of the disease. In this paper, we describe a Web-based user interface that enables the direct viewing of 2-D and 3-D image data from the visceral and tissue levels of the biological continuum (i.e., the continuum comprising systems, viscera, tissue, cells, proteins, and genes)--while preserving geometric integrity. This is achieved despite the fact that the data are from different modalities (i.e., magnetic resonance (MR) and light microscopy). The user interface was tested using image data acquired from a study of articular cartilage thickness in the porcine knee. The interface allows the clinician to view both MR and light microscopy images in an integrated manner-with the information linked geometrically.
AU - Poh,C-L
AU - Kitney,RI
AU - Akhtar,S
DO - 10.1109/TITB.2008.2007667
EP - 553
PY - 2009///
SP - 546
TI - Web-based multilayer viewing interface for knee cartilage.
T2 - IEEE Trans Inf Technol Biomed
UR - http://dx.doi.org/10.1109/TITB.2008.2007667
UR - https://www.ncbi.nlm.nih.gov/pubmed/19273027
VL - 13
ER -