Fusion of multinuclear magnetic resonance images of knee for the assessment of articular cartilage

The onset of osteoarthritis (OA), a most common knee joint disease, can be characterized by the degeneration of articular cartilage (AC). Degenerative changes in AC have been assessed by the morphological and physiological measurements using non-invasive modality such as Magnetic Resonance Imaging (...

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Bibliographic Details
Main Authors: Hani, Ahmad Fadzil M, Kumar, Dileep, Malik, Aamir S., Razak, Ruslan, Kiflie, Azman
Format: Conference or Workshop Item
Published: 2013
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Online Access:http://eprints.utp.edu.my/10828/1/Fusion%20of%20Multinuclear%20Magnetic%20Resonance%20Images%20of%20Knee%20for%20the%20Assessment%20of%20Articular%20Cartilage.pdf
http://dx.doi.org/10.1109/EMBC.2013.6611035
http://eprints.utp.edu.my/10828/
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Institution: Universiti Teknologi Petronas
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Summary:The onset of osteoarthritis (OA), a most common knee joint disease, can be characterized by the degeneration of articular cartilage (AC). Degenerative changes in AC have been assessed by the morphological and physiological measurements using non-invasive modality such as Magnetic Resonance Imaging (MRI) to obtain MRI images of the knee. However, visualization and quantification of AC from MR images is difficult due to the low visibility contrast of AC compared to surrounding tissues, low and varying signal intensities in cartilage region and variable intensities in different slices of single dataset. In this work, we present a method to fuse multinuclear (23Na and 1H) MR images acquired in the same plane without changing the position of the human knee as well as the Radio Frequency (RF) coil. This work is performed towards our hypothesis that fusion of sodium and proton images will provide an enhanced image that can be used for an accurate assessment of cartilage morphology. Our result shows that merging of sodium knee MR image with proton knee MR image resulting in enhanced contrast information in the cartilage region and resolves low visibility and varying intensities issue with 2D/3D proton MR. We conclude that the proposed method can further be utilized for the accurate assessment of cartilage morphology.