• 제목/요약/키워드: Advanced imaging

검색결과 824건 처리시간 0.025초

Differentiation of Benign from Malignant Adnexal Masses by Functional 3 Tesla MRI Techniques: Diffusion-Weighted Imaging and Time-Intensity Curves of Dynamic Contrast-Enhanced MRI

  • Malek, Mahrooz;Pourashraf, Maryam;Mousavi, Azam Sadat;Rahmani, Maryam;Ahmadinejad, Nasrin;Alipour, Azam;Hashemi, Firoozeh Sadat;Shakiba, Madjid
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권8호
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    • pp.3407-3412
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    • 2015
  • Background: The aim of this study was to evaluate and compare the accuracy of diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) value, and time-intensity curve (TIC) type analysis derived from dynamic contrast-enhanced MR imaging (DCE-MRI) in differentiating benign from malignant adnexal masses. Materials and Methods: 47 patients with 56 adnexal masses (27 malignant and 29 benign) underwent DWI and DCE-MRI examinations, prior to surgery. DWI signal intensity, mean ADC value, and TIC type were determined for all the masses. Results: High signal intensity on DWI and type 3 TIC were helpful in differentiating benign from malignant adnexal masses (p<0.001). The mean ADC value was significantly lower in malignant adnexal masses (p<0.001). An ADC value< $1.20{\times}10^{-3}mm^2/s$ may be the optimal cutoff for differentiating between benign and malignant tumors. The negative predictive value for low signal intensity on DWI, and type 1 TIC were 100%. The pairwise comparison among the receiver operating characteristic (ROC) curves showed that the area under the curve (AUC) of TIC was significantly larger than the AUCs of DWI and ADC (p<0.001 for comparison of TIC and DWI, p<0.02 for comparison of TIC and ADC value). Conclusions: DWI, ADC value and TIC type derived from DCE-MRI are all sensitive and relatively specific methods for differentiating benign from malignant adnexal masses. By comparing these functional MR techniques, TIC was found to be more accurate than DWI and ADC.

In-Orbit Performance Result of KITSAT-3 Earth Imaging System (MEIS)

  • Yoo, Sang-Keun;Kim, Ee-Eul;Chang, Hyon-Sock;Kang, Kyung-In;Choi, Soon-Dal
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.37-42
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    • 1999
  • A compact imaging system, the Multi-spectral Earth Imaging System (MEIS) was developed and operated on an engineering test satellite, KITSAT-3 at the orbital altitude of 720 km. The MEIS takes multi-spectral images of the earth's surface with the swath width of 48 km and the ground sampling distance of 13.8 m in three spectral bands. A brief technical description of the KITSAT-3 MEIS and the result from its initial operation since early June, 1999 are presented. The quality of images produced by the KITSAT-3 MEIS was found comparable to that of images from existing commercial earth observation satellites from its preliminary assessment.

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회전 경사자계와 사상 재구성을 이용한 무소음 자기 공명 영상법 (Silent Magnetic Resonance Imaging Using Rotating and Projection Reconstruction)

  • 정성택;박세혁;조장희
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.555-558
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    • 1997
  • A new approach to silent MR imaging using a rotating DC gradient has been explored and experimentally studied. As is known, acoustic or sound noise has been one of the major problems in handling patients, mainly due to the fast gradient pulsings in interaction with the main magnetic field. The sound noise is also proportionally louder as the magnetic field strength becomes larger. In this article, we have described a new imaging technique using a mechanically rotating DC gradient coil as an approach toward silent MR imaging, i.e., a mechanically rotated DC gradient effectively replaces both the phase encoding as well as the readout gradient pulsings and data obtained in this manner provides a set of project ion data which later can be used or the projection reconstructionorwithsomeinterpolation techniques one can also perform conventional 2-D FFT (Fast Fourier Transform) image reconstruction. We found, with this new technique, that the sound noise intensity compared with the conventional imaging technique, such as spin echo sequence, is reduced down to -20.7 dB or about 117.5 times. The experimental pulse sequence and its principle are described and images obtained by the new silent MR imaging technique are reported.

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대기가스오염물질의 이차원 원격 모니터링을 위한 Imaging-DOAS 개발 (Development of an Imaging-DOAS System for 2-D Remote Sensing of Atmospheric Gases)

  • 이한림;이철규;정진상;박정은;김영준
    • 대한환경공학회지
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    • 제28권2호
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    • pp.150-157
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    • 2006
  • 태양산란광을 광원으로 사용하고 DOAS(differential Optical Absorption Spectroscopy) 기술을 이용하여 분석 하여 대기 오염물질의 이차원 공간적 분포를 이미지화 할 수 있는 지상용 원격 모니터링 장비인 Imaging-DOAS 시스템을 소개한다. 인공적 램프를 광원으로 사용하는 능동형 DOAS와 마찬 가지로 수동형 DOAS 기술도 대기 가스상의 물질의 차등흡수 변화(narrow band absorption) 구조를 이용하여 $NO_2,\;SO_2,\;CH_2O$ 등의 다양한 물질을 높은 정밀도를 가지며 측정 할 수 있다. Imaging-DOAS는 스캐닝 거울, 집광 렌즈, 분광기와 CCD, 그리고 시스템을 통합 제어하는 소프트웨어로 이루어져 있으며, 스캐닝 거울로 여러 번 스캐닝을 연속적으로 하여 대기 가스물질의 공간적 이차원 분포를 이미지화 시킨다. 본 연구에서는 개발된 Imaging-DOAS 시스템 구조 및 수신된 신호를 이용한 분석 방법을 소개 하며 처음으로 국내 한 화력 발전소에서 발생되는 $NO_2$ 양의 공간적 분포를 Imaging-DOAS를 이용하여 원격 측정 하였다.

Flow Restored SSFP Sequence in NMR Imaging

  • 정관진;안우연;나종범;조장희
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1990년도 춘계학술대회
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    • pp.25-27
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    • 1990
  • By designing the gradient pulses to be velocity compensated during one pulse cycle in SSFP (steady state free precession) imaging, the flowing spins can be maintained in the steady state. In the new SSFP sequence the flow signal which might be lost in conventional SSFP imaging sequences can be restored owing to the signal contribution from the preceding pulse cycles. By using the proposed SSFP sequence substantial restoration of the flow signal has been observed for the CSF (cerebro spinal fluid) of the human head.

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Advanced Authoring Format기반에서 메타데이터를 활용한 영상제작환경 (Media Production Environment Using Metadata based on Advanced Authoring Format)

  • 목선아;김철현;백준기
    • 방송공학회논문지
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    • 제13권2호
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    • pp.274-282
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    • 2008
  • 본 논문에서는 IT기반의 영상제작환경에서 advanced authoring format(AAF)의 메타데이터 사용을 제안한다. 영상제작시스템이 화질열화와 데이터 보관, 작업시간의 단축 등의 이유로 점차 디지털화되면서 메타데이터의 필요성이 증대되고 있다. 이러한 환경에서 시스템 간에 메타데이터의 손실 없이 콘텐츠를 전송하는 능력, 즉 상호변환 가능성이 중요해 진다. 현재 방송, 영화 환경에서 editing decision list(EDL)이 많이 사용되고 있지만 효율성 측면에서 좋지 못한 성능을 보인다. 이에 제안하는 AAF와 기존에 사용되는 EDL의 컷, 효과 메타데이터의 전송 여부를 비교 실험 하였으며 그 결과 AAF가 EDL보다 더 많은 영상정보를 포함하고 있음을 확인하였다.

Minimum Statistics-Based Noise Power Estimation for Parametric Image Restoration

  • Yoo, Yoonjong;Shin, Jeongho;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권2호
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    • pp.41-51
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    • 2014
  • This paper describes a method to estimate the noise power using the minimum statistics approach, which was originally proposed for audio processing. The proposed minimum statistics-based method separates a noisy image into multiple frequency bands using the three-level discrete wavelet transform. By assuming that the output of the high-pass filter contains both signal detail and noise, the proposed algorithm extracts the region of pure noise from the high frequency band using an appropriate threshold. The region of pure noise, which is free from the signal detail part and the DC component, is well suited for minimum statistics condition, where the noise power can be extracted easily. The proposed algorithm reduces the computational load significantly through the use of a simple processing architecture without iteration with an estimation accuracy greater than 90% for strong noise at 0 to 40dB SNR of the input image. Furthermore, the well restored image can be obtained using the estimated noise power information in parametric image restoration algorithms, such as the classical parametric Wiener or ForWaRD image restoration filters. The experimental results show that the proposed algorithm can estimate the noise power accurately, and is particularly suitable for fast, low-cost image restoration or enhancement applications.

포인트 클라우드를 이용한 파이프라인 연결 자동 모델링에 관한 연구 (A Study on Automatic Modeling of Pipelines Connection Using Point Cloud)

  • 이재원;아쇽 쿠말 파틸;파비트라 홀리;채영호
    • 한국CDE학회논문집
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    • 제21권3호
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    • pp.341-352
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    • 2016
  • Manual 3D pipeline modeling from LiDAR scanned point cloud data is laborious and time-consuming process. This paper presents a method to extract the pipe, elbow and branch information which is essential to the automatic modeling of the pipeline connection. The pipe geometry is estimated from the point cloud data through the Hough transform and the elbow position is calculated by the medial axis intersection for assembling the nearest pair of pipes. The branch is also created for a pair of pipe segments by estimating the virtual points on one pipe segment and checking for any feasible intersection with the other pipe's endpoint within the pre-defined range of distance. As a result of the automatic modeling, a complete 3D pipeline model is generated by connecting the extracted information of pipes, elbows and branches.