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KMID : 0357520160390020227
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Journal of Radiological Science and Technology
2016 Volume.39 No. 2 p.227 ~ p.236
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Singular Value Decomposition based Noise Reduction Technique for Dynamic PET I mage : Preliminary study
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Pyeon Do-Yeong
Kim Jung-Soo
Baek Cheol-Ha
Jung Young-Jin
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Abstract
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Dynamic positron emission tomography(dPET) is widely used medical imaging modality that can provide both physiological and functional neuro-image for diagnosing various brain disease. However, dPET images have low spatial-resolution and high noise level during spatio-temporal analysis (three-dimensional spatial information + one-dimensional time information), there by limiting clinical utilization. In order to overcome these issues for the spatio-temporal analysis, a novel computational technique was introduced in this paper. The computational technique based on singular value decomposition classifies multiple independent components. Signal components can be distinguished from the classified independent components. The results show that signal to noise ratio was improved up to 30% compared with the original images. We believe that the proposed computational technique in dPET can be useful tool for various clinical / research applications.
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KEYWORD
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Dynamic Positron Emission Tomography (dPET), Singular Value Decomposition (SVD), Noise reduction
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