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

Hani, Ahmad Fadzil M and Kumar, Dileep and Malik, Aamir S. and Razak, Ruslan and Kiflie, Azman (2013) Fusion of multinuclear magnetic resonance images of knee for the assessment of articular cartilage. In: 35th Annual International Conference of the IEEE EMBS, July 3 - 7, 2013, Osaka, Japan.


Official URL: http://dx.doi.org/10.1109/EMBC.2013.6611035


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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Multimodal image fusion, MR molecular imaging, Image enhancement
Subjects:Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
ID Code:10828
Deposited By: Dr Aamir Saeed Malik
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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