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------=_NextPart_01C600C5.CAABECA0 Content-Location: file:///C:/DEBB8A35/MIUA05_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C600C5.CAABECA0 Content-Location: file:///C:/DEBB8A35/MIUA05_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Assessment of Osteoarthritis from Standard Clinical X-Rays
Segmenting Tibia and Femur from Knee X-ray Images
Matthias Seise, Stephen McKenna,
Ian Ricketts, Carlos Wigderowitz
Division of Applied Computing &a= mp;
Department of Orthop= aedics and Trauma Surgery, University of Dundee, Scotland
I a= m Matthias Seise and I am going to talk about some results from my PhD research It i= s is a joint project of the Division of applied computing and the Department of Orthopaedics and Trauma surgery. The ultimate aim is to assess the progression of osteoarthritis from standard clinical x-rays.
Fir= st I’ll give a brief overview of the medical background of this project and then present the segmentation algorithm and preliminary results. ->

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Osteoarthritis
n> 550,000 severe kn= ee osteoarthritis in UK1
n> 35,000 knee replacements (UK, 2000) 1
n
n
n
n
n1Arthritis Research Campaign (arc), www.arc.org.uk=
OA is = a widespread disease it is the most common joint disease and the most common cause of disability of older people. Therefore it causes signifikant economic cost= for society.
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Normal Knee
Femur
Femur
Tibia
Tibia
Articular cartilage
Femoral condyles
Tibial plateaux
Osteoarthritic Knee