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Semiautomated spleen volumetry with diffusion‐weighted MR imaging
Lee, Jeongjin,Kim, Kyoung Won,Lee, Ho,Lee, So Jung,Choi, Sanghyun,Jeong, Woo Kyoung,Kye, Heewon,Song, Gi‐,Won,Hwang, Shin,Lee, Sung‐,Gyu Wiley Subscription Services, Inc., A Wiley Company 2012 Magnetic resonance in medicine Vol.68 No.1
<P><B>Abstract</B></P><P>In this article, we determined the relative accuracy of semiautomated spleen volumetry with diffusion‐weighted (DW) MR images compared to standard manual volumetry with DW‐MR or CT images. Semiautomated spleen volumetry using simple thresholding followed by 3D and 2D connected component analysis was performed with DW‐MR images. Manual spleen volumetry was performed on DW‐MR and CT images. In this study, 35 potential live liver donor candidates were included. Semiautomated volumetry results were highly correlated with manual volumetry results using DW‐MR (<I>r</I> = 0.99; <I>P</I> < 0.0001; mean percentage absolute difference, 1.43 ± 0.94) and CT (<I>r</I> = 0.99; <I>P</I> < 0.0001; 1.76 ± 1.07). Mean total processing time for semiautomated volumetry was significantly shorter compared to that of manual volumetry with DW‐MR (<I>P</I> < 0.0001) and CT (<I>P</I> < 0.0001). In conclusion, semiautomated spleen volumetry with DW‐MR images can be performed rapidly and accurately when compared with standard manual volumetry. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.</P>
Lee, Hyunna,Kim, Bohyoung,Lee, Jeongjin,Kim, Se Hyung,Shin, Yeong-Gil,Kim, Tae-Gong IEEE 2013 IEEE Transactions on Biomedical Engineering Vol.60 No.6
<P>In this paper, we propose an electronic cleansing method using a novel reconstruction model for removing tagged materials (TMs) in computed tomography (CT) images. To address the partial volume (PV) and pseudoenhancement (PEH) effects concurrently, material fractions and structural responses are integrated into a single reconstruction model. In our approach, colonic components including air, TM, an interface layer between air and TM, and an interface layer between soft-tissue (ST) and TM (IL<SUB>ST/TM</SUB> ) are first segmented. For each voxel in IL<SUB>ST/TM</SUB>, the material fractions of ST and TM are derived using a two-material transition model, and the structural response to identify the folds submerged in the TM is calculated by the rut-enhancement function based on the eigenvalue signatures of the Hessian matrix. Then, the CT density value of each voxel in IL<SUB>ST/TM</SUB> is reconstructed based on both the material fractions and structural responses. The material fractions remove the aliasing artifacts caused by a PV effect in IL<SUB>ST/TM</SUB> effectively while the structural responses avoid the erroneous cleansing of the submerged folds caused by the PEH effect. Experimental results using ten clinical datasets demonstrated that the proposed method showed higher cleansing quality and better preservation of submerged folds than the previous method, which was validated by the higher mean density values and fold preservation rates for manually segmented fold regions.</P>
Fatigue-Alleviating Effect on Mice of an Ethanolic Extract from <i>Rubus coreanus</i>
LEE, Somi,YOU, Yanghee,YOON, Ho-Geun,KIM, Kyungmi,PARK, Jeongjin,KIM, Sunoh,HO, Jin-Nyoung,LEE, Jeongmin,SHIM, Sangin,JUN, Woojin Japan Society for Bioscience, Biotechnology, and A 2011 Bioscience, biotechnology, and biochemistry Vol.75 No.2
<P>The fatigue-alleviating effects on mice of <I>Rubus coreanus</I> were investigated by using an adjustable-current water pool. The mice were exhaustively exercised for 2 consecutive days, and those administered with the 80% ethanol extract (RCE) of <I>R. coreanus</I> displayed a lower reduction (20%) in swimming time on day 2 than the control group (41% reduction). RCE significantly prevented the depletion of hepatic antioxidants during exercise-induced fatigue. These results suggest that RCE alleviated fatigue by elevating the antioxidative potential.</P>
Fast Three-Material Modeling With Triple Arch Projection for Electronic Cleansing in CTC
Lee, Hyunna,Lee, Jeongjin,Kim, Bohyoung,Hyung Kim, Se,Shin, Yeong-Gil IEEE 2014 IEEE Transactions on Biomedical Engineering Vol.61 No.7
<P>In this paper, we propose a fast three-material modeling for electronic cleansing (EC) in computed tomographic colonography. Using a triple arch projection, our three-material modeling provides a very quick estimate of the three-material fractions to remove ridge-shaped artifacts at the T-junctions where air, soft-tissue (ST), and tagged residues (TRs) meet simultaneously. In our approach, colonic components including air, TR, the layer between air and TR, the layer between ST and TR (L<SUB>ST/TR</SUB>), and the T-junction are first segmented. Subsequently, the material fraction of ST for each voxel in L<SUB>ST/TR</SUB> and the T-junction is determined. Two-material fractions of the voxels in L<SUB>ST/TR</SUB> are derived based on a two-material transition model. On the other hand, three-material fractions of the voxels in the T-junction are estimated based on our fast three-material modeling with triple arch projection. Finally, the CT density value of each voxel is updated based on our fold-preserving reconstruction model. Experimental results using ten clinical datasets demonstrate that the proposed three-material modeling successfully removed the T-junction artifacts and clearly reconstructed the whole colon surface while preserving the submerged folds well. Furthermore, compared with the previous three-material transition model, the proposed three-material modeling resulted in about a five-fold increase in speed with the better preservation of submerged folds and the similar level of cleansing quality in T-junction regions.</P>