• JSTS:Journal of Semiconductor Technology and Science
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• 제17권3호
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• pp.387-400
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• 2017

A new junction-splitting based SAR ADC with a redundant searching capacitor array structure in $0.13{\mu}m$ CMOS process to alleviate capacitor mismatch effects, is presented. The normalized average power has a factor of 0.35 to the conventional SAR ADC at 10-bit conversion accuracy. Statistical experiments show the number of missing codes resulting from the mismatch reduces by 95% for 3% unit-capacitor mismatch ratio, while keeping the conversion energy to that of the conventional JS capacitor array.

• Korean Journal of Radiology
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• 제20권5호
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• pp.854-861
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• 2019

Objective: To evaluate quantitative magnetic resonance imaging (MRI) parameters for differentiation of cysts from and solid masses in the anterior mediastinum. Materials and Methods: The development dataset included 18 patients from two institutions with pathologically-proven cysts (n = 6) and solid masses (n = 12) in the anterior mediastinum. We measured the maximum diameter, normalized T1 and T2 signal intensity (nT1 and nT2), normalized apparent diffusion coefficient (nADC), and relative enhancement ratio (RER) of each lesion. RERs were obtained by non-rigid registration and subtraction of precontrast and postcontrast T1-weighted images. Differentiation criteria between cysts and solid masses were identified based on receiver operating characteristics analysis. For validation, two separate datasets were utilized: 15 patients with 8 cysts and 7 solid masses from another institution (validation dataset 1); and 11 patients with clinically diagnosed cysts stable for more than two years (validation dataset 2). Sensitivity and specificity were calculated from the validation datasets. Results: nT2, nADC, and RER significantly differed between cysts and solid masses (p = 0.032, 0.013, and < 0.001, respectively). The following criteria differentiated cysts from solid masses: RER < 26.1%; nADC > 0.63; nT2 > 0.39. In validation dataset 1, the sensitivity of the RER, nADC, and nT2 criteria was 87.5%, 100%, and 75.0%, and the specificity was 100%, 40.0%, and 57.4%, respectively. In validation dataset 2, the sensitivity of the RER, nADC, and nT2 criteria was 90.9%, 90.9%, and 72.7%, respectively. Conclusion: Quantitative MRI criteria using nT2, nADC, and particularly RER can assist differentiation of cysts from solid masses in the anterior mediastinum.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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• pp.413-416
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• 2002

In this paper, a speech enhancement system using microphone array with adaptive Post-Processing is implemented in real-lime with TMS320C6201 DSP. It consists of delay-and-sum beamformer and adaptive post-processing filters with NLMS (Normalized Least Mean Square) algorithm. THS1206 ADC is used for collection of 4-channel microphone signals. Sizes of program memory, data ROM and data RAM of the implemented system are 15,744, 748 and 47,540 bytes, respectively. Finally 21.839${\times}$106 clocks per second is required for real-time operation.

• 한국멀티미디어학회논문지
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• 제19권4호
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• pp.736-746
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• 2016

In this paper, we propose an automatic prostate cancer detection method using position, signal intensity and texture feature based on SVM in multi-parametric MR images. First, to align the prostate on DWI and ADC map to T2wMR, the transformation parameters of DWI are estimated by normalized mutual information-based rigid registration. Then, to normalize the signal intensity range among inter-patient images, histogram stretching is performed. Second, to detect prostate cancer areas in T2wMR, SVM classification with position, signal intensity and texture features was performed on T2wMR, DWI and ADC map. Our feature classification using multi-parametric MR imaging can improve the prostate cancer detection rate on T2wMR.

• Investigative Magnetic Resonance Imaging
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• 제21권3호
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• pp.154-161
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• 2017

Purpose: To evaluate the diagnostic performance of diffusion-weighted steady-state free precession (DW-SSFP) in comparison to diffusion-weighted echo-planar imaging (DW-EPI) for differentiating the neoplastic and benign osteoporotic vertebral compression fractures. Materials and Methods: The subjects were 40 patients with recent vertebral compression fractures but no history of vertebroplasty, spine operation, or chemotherapy. They had received 3-Tesla (T) spine magnetic resonance imaging (MRI), including both DW-SSFP and DW-EPI sequences. The 40 patients included 20 with neoplastic vertebral fracture and 20 with benign osteoporotic vertebral fracture. In each fracture lesion, we obtained the signal intensity normalized by the signal intensity of normal bone marrow (SI norm) on DW-SSFP and the apparent diffusion coefficient (ADC) on DW-EPI. The correlation between the SI norm and the ADC in each lesion was analyzed using linear regression. The optimal cut-off values for the diagnosis of neoplastic fracture were determined in each sequence using Youden's J statistics and receiver operating characteristic curve analyses. Results: In the neoplastic fracture, the median SI norm on DW-SSFP was higher and the median ADC on DW-EPI was lower than the benign osteoporotic fracture (5.24 vs. 1.30, P = 0.032, and 0.86 vs. 1.48, P = 0.041, respectively). Inverse linear correlations were evident between SI norm and ADC in both neoplastic and benign osteoporotic fractures (r = -0.45 and -0.61, respectively). The optimal cut-off values for diagnosis of neoplastic fracture were SI norm of 3.0 in DW-SSFP with the sensitivity and specificity of 90.4% (95% confidence interval [CI]: 81.0-99.0) and 95.3% (95% CI: 90.0-100.0), respectively, and ADC of 1.3 in DW-EPI with the sensitivity and specificity of 90.5% (95% CI: 80.0-100.0) and 70.4% (95% CI: 60.0-80.0), respectively. Conclusion: In 3-T MRI, DW-SSFP has comparable sensitivity and specificity to DW-EPI in differentiating the neoplastic vertebral fracture from the benign osteoporotic vertebral fracture.

• Investigative Magnetic Resonance Imaging
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• 제15권2호
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• pp.102-109
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• 2011

목적 : 수술 전 축내 뇌종양의 경도를 평가하는데 확산강조영상 및 현성확산계수영상과 고식적 MR 영상의 유용성을 알아보고자 하였다. 대상 및 방법: 축내 뇌종양으로 수술을 받은 23명의 환자를 대상으로 T1, T2, 확산강조영상 소견을 후향적으로 분석하였다. 다양한 MR영상에서의 신호강도와 수술에서 평가한 종양의 경도를 정량적, 정성적으로 비교 분석하였다. 수술소견에서 종양의 경도는 낭성, 젤리같은, 쉽게 부서지는, 부드러운, 단단한, 딱딱한 정도로 나눴다. 세 명의 환자에서는 낭성 부분과 고형성 부분이 함께 있어서 각각에 대해서 평가하였다. 결과: 종양이 단단할수록 현성확산계수와 T2강조영상에서의 신호강도의 비는 더 낮았다 (p = 0.002, p = 0.01). 종양의 경도와 현성확산계수가 가장 강한 선형상관관계를 보였다 (r = -0.586, p = 0.002). 정성적 분석에서는 단단할수록 T2강조영상에서 정성적 신호강도 등급이 낮았다 (p = 0.018). 그 외 다른 MR소견은 통계분석에서 종 양의 경도와 유의한 상관관계를 보이지 않았다. 결론: 축내 뇌종양의 현성확산계수, T2강조영상에서 신호강도의 비와 정성적 신호강도 등급은 종양의 경도와 상관관계가 있었고 이는 수술 전 전략 수립에 많은 도움이 될 것으로 생각된다.

• Korean Journal of Radiology
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• 제22권2호
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• pp.233-242
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• 2021

Objective: To evaluate the association of MRI features with the major genomic profiles and prognosis of World Health Organization grade III (G3) gliomas compared with those of glioblastomas (GBMs). Materials and Methods: We enrolled 76 G3 glioma and 155 GBM patients with pathologically confirmed disease who had pretreatment brain MRI and major genetic information of tumors. Qualitative and quantitative imaging features, including volumetrics and histogram parameters, such as normalized cerebral blood volume (nCBV), cerebral blood flow (nCBF), and apparent diffusion coefficient (nADC) were evaluated. The G3 gliomas were divided into three groups for the analysis: with this isocitrate dehydrogenase (IDH)-mutation, IDH mutation and a chromosome arm 1p/19q-codeleted (IDHmut1p/19qdel), IDH mutation, 1p/19q-nondeleted (IDHmut1p/19qnondel), and IDH wildtype (IDHwt). A prediction model for the genetic profiles of G3 gliomas was developed and validated on a separate cohort. Both the quantitative and qualitative imaging parameters and progression-free survival (PFS) of G3 gliomas were compared and survival analysis was performed. Moreover, the imaging parameters and PFS between IDHwt G3 gliomas and GBMs were compared. Results: IDHmut G3 gliomas showed a larger volume (p = 0.017), lower nCBF (p = 0.048), and higher nADC (p = 0.007) than IDHwt. Between the IDHmut tumors, IDHmut1p/19qdel G3 gliomas had higher nCBV (p = 0.024) and lower nADC (p = 0.002) than IDHmut1p/19qnondel G3 gliomas. Moreover, IDHmut1p/19qdel tumors had the best prognosis and IDHwt tumors had the worst prognosis among G3 gliomas (p < 0.001). PFS was significantly associated with the 95th percentile values of nCBV and nCBF in G3 gliomas. There was no significant difference in neither PFS nor imaging features between IDHwt G3 gliomas and IDHwt GBMs. Conclusion: We found significant differences in MRI features, including volumetrics, CBV, and ADC, in G3 gliomas, according to IDH mutation and 1p/19q codeletion status, which can be utilized for the prediction of genomic profiles and the prognosis of G3 glioma patients. The MRI signatures and prognosis of IDHwt G3 gliomas tend to follow those of IDHwt GBMs.

• 한국산림과학회지
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• 제100권3호
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• pp.374-381
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• 2011

본 연구에서는 지상형 원격탐사장비인 ADC(Agricultural Digital Camera)를 통해 획득한 영상으로부터 NDVI(Normalized Difference Vegetation Index) 값을 산출하여 소나무 재선충병 감염목의 조기감별에 대한 가능성을 알아보고자 하였다. 재선충에 감염된 임목의 잎은 시들음 현상을 보이게 되고, 이것은 NDVI의 감소를 유발하므로, 정상목과 감염목은 시기에 따라 NDVI 변화양상이 다르게 나타난다. 이러한 현상에 착안하여, 시기에 따라 임목의 NDVI 값의 변화량을 보여주는 DI(Detection Index)를 고안하여 감염목의 판별에 사용하였다. 2007년 5월부터 8월까지의 획득된 영상으로부터 감염목과 정상목의 DI 값을 산출한 후, GLM(General Linear Models)을 이용하여 분석한 결과 6~8월 DI 값이 가장 낮은 유의수준(0.0001)에서 두 집단 간에 차이를 보였다. 6~8월 DI 값으로 감염목과 정상목의 집단 간의 차이를 판별분석(Discriminant Analysis)한 결과, DI 값을 통한 감염목과 정상목의 분류정확도(Hit Ratio)는 71.9%였고, 잭나이프(Jack-knife) 추정방법을 사용했을 때는 73.5%의 정확도를 얻었다. 위의 결과를 통해 DI는 감염목과 정상목을 판별하는데 유용한 지수라고 판단되고, 재선충병에 의한 피해를 방지하는데 도움을 줄 수 있을 것이라 사료된다.

• Investigative Magnetic Resonance Imaging
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• 제18권2호
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• pp.120-132
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• 2014

목적: 원발성 뇌종양환자에서 방사선 치료 후 추적 자기공명영상에서 새로 생긴 조영증강 뇌병변에 대해 종양재발과 지연성 방사선치료연관변화의 감별에 있어서 확산강조영상 (DWI), 역동적조영관류영상 (DSC PWI), 자화율강조영상 (SWI)의 진단적 가치를 서로 비교하고자 한다. 대상과 방법: 원발성 뇌종양으로 이전에 방사선치료를 받았던 환자 중, 방사선치료 종료 최소 1년 이후에 추적 자기공명영상에서 새롭게 조영증강 되는 병변을 가진 24명의 환자를 대상으로 연구하였다. 새롭게 조영증강 되는 병변은 14명의 종양재발과 10명의 방사선치료연관변화로 확인되었다. 종양재발과 방사선치료연관변화 두 환자 군의 여러변수들은 비대응표본 t 검정을 실시하여 비교 분석하였다. 다중변수 로지스틱 회귀 분석을 이용하여 DWI, DSC PWI, SWI 각 영상의 정량 분석을 통해 얻은 apparent diffusion coefficient (ADC), normalized cerebral blood volume (nCBV), proportion of dark signal intensity (proSWI) 값 중 두 군을 감별해 내는 최상의 예측 변수 (best predictor)를 정하였다. 이후 수신자 조작 특성 (Receiver operating characteristics, ROC) 분석을 통하여 best predictor의 정확도, 민감도, 특이도를 평가하였다. 결과: 방사선치료연관변화 군과 비교하여 종양재발 군에서 평균 nCBV 값이 유의하게 높았고 (P=.004), 평균 proSWI 값은 유의하게 낮았다 (P<.001). 반면, 평균 ADC 값은 두 군간에 유의한 차이를 보이지 않았다. 다중변수 로지스틱 회귀 분석 결과 proSWI 값만이 통계적으로 유의한, 감별 가능한 독립변수였으며, 민감도, 특이도, 정확도는 각각 78.6% (11 of 14), 100% (10 of 10), 87.5% (21 of 24) 였다. 결론: 뇌종양 환자에서 방사선치료 종료 최소 1년 이후에 새로 보이는 조영증강 병변의 감별에 있어 proSWI 값이 가장 중요한 변수인 것으로 나타났다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.882-885
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• 2003

In this paper, nonlinear echo cancellation using a correlation LMS (CLMS) algorithm is proposed to cancel the undesired nonlinear echo signals generated in the hybrid system of the telephone network. In the telephone network, the echo signals may result the degradation of the network performance. Furthermore, digital to analog converter (DAC) and analog to digital converter (ADC) may be the source of the nonlinear distortion in the hybrid system. The adaptive filtering technique based on the nonlinear Volterra filter has been the general technique to cancel such a nonlinear echo signals in the telephone network. But in the presence of the double-talk situation, the error signal for tap adaptations will be greatly larger, and the near-end signal can cause any fluctuation of tap coefficients, and they may diverge greatly. To solve a such problem, the correlation LMS (CLMS) algorithm can be applied as the nonlinear adaptive echo cancellation algorithm. The CLMS algorithm utilizes the fact that the far-end signal is not correlated with a near-end signal. Accordingly, the residual error for the tap adaptation is relatively small, when compared to that of the conventional normalized LMS algorithm. To demonstrate the performance of the proposed algorithm, the DAC of hybrid system of the telephone network is considered. The simulation results show that the proposed algorithm can cancel the nonlinear echo signals effectively and show robustness under the double-talk situations.