• Journal of the Korean Society of Radiology
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• v.9 no.4
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• pp.227-234
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• 2015

In this paper, we studied possibility about application for CAD on diffuse liver disease through pixel texture analysis parameters(average gray level, skewness, entropy) which based statistical property brightness histogram and image analysis using brightness difference liver and kidney parenchyma. The experiment was set by ROI ($50{\times}50$ pixels) on liver ultrasound images.(non specific, fatty liver, liver cirrhosis) then, evaluated disease recognition rates using 4 types pixel texture analysis parameters and brightness gap liver and kidney parenchyma. As a results, disease recognition rates which contained average brightness, skewness, uniformity, entropy was scored 100%~96%, they were high. In brightness gap between liver and kidney parenchyma, non specific was $-1.129{\pm}12.410$ fatty liver was $33.182{\pm}11.826$, these were shown significantly difference, but liver cirrhosis was $-1.668{\pm}10.081$, that was somewhat small difference with non specific case. Consequently, pixel texture analysis parameter which scored high disease recognition rates and CAD which used brightness difference of parenchyma are very useful for detecting diffuse liver disease as well as these are possible to use clinical technique and minimize reading miss. Also, it helps to suggest correct diagnose and treatment.

• Journal of Korea Multimedia Society
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• v.16 no.6
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• pp.700-707
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• 2013

In this paper, we propose a non-rigid registration method of lung parenchyma in temporal chest CT scans using region binarization modeling and locally deformable model. To cope with intensity differences between CT scans, we segment the lung vessel and parenchyma in each scan and perform binarization modeling. Then, we match them without referring any intensity information. We globally align two lung surfaces. Then, locally deformable transformation model is developed for the subsequent non-rigid registration. Subtracted quantification results after non-rigid registration are visualized by pre-defined color map. Experimental results showed that proposed registration method correctly aligned lung parenchyma in the full inspiration and expiration CT images for ten patients. Our non-rigid lung registration method may be useful for the assessment of various lung diseases by providing intuitive color-coded information of quantification results about lung parenchyma.

• Korean Journal of Food Science and Technology
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• v.45 no.1
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• pp.47-52
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• 2013

The feasibility of incorporating purple sweet potato concentrate (PSPC) as a value-added food ingredient in convenient food products, using a model system of jelly, was investigated. The pH and soluble solids content gradually increased with the increasing levels of PSPC added (p<0.05). The moisture content ranged from 82.03-83.82%. Lightness decreased, whereas redness and yellowness increased significantly with the higher amount of PSPC in the formulation (p<0.05). Turbidity and hardness also increased significantly (p<0.05). Total polyphenol content and DPPH radical scavenging activity increased significantly with the addition of PSPC (p<0.05). The consumer acceptance test indicated that the addition of PSPC had a favorable effect on consumer acceptances in all attributes. The jelly with 2% PSPC is recommended (with respect to the overall acceptance score) for taking advantage of the functional properties of PSPC without sacrificing consumer acceptability.