• Title/Summary/Keyword: 영상 강조

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The Principles of Diffusion MR

  • 장용민
    • Proceedings of the KSMRM Conference
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    • 2003.10a
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    • pp.49-53
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    • 2003
  • 확산텐서영상(Diffusion Tensor Imaging)의 개념은 1980년대 중반 확산강조영상(Diffusion Weighted Imaging)의 개념이 도입되면서 거의 동시에 도입되었지만 MR 장비의 기계적 한계등으로 인해 최근에야 임상적으로 사용되기 시작했다. 확산텐서영상(DTI)과 확산강조영상(DWI)의 방법론적인 차이점은 단순히 확산강조영상의 경우 세 개의 다른방향 (X-, Y-, Z-축)으로 확산측정용 경사자장을 가하는 반면 확산텐서영상의 경우 이보다 많은 방향 (최소한 6 방향)으로 확산측정용 경사자장을 가한다는 점이다. 이러한 차이로부터 금방 알 수 있는 점은 확산강조영상은 확산텐서영상의 일부라는 점이다. 즉, 확산텐서영상의 경우 더 많은 방향으로 확산측정용 경사자장을 가했으므로 더 많은 정보를 획득할 수 있고 이중 세 개의 방향 (주로 X,Y,Z)에 대한 정보만을 이용하게 되면 확산강조영상이다. 이러한 이유로 확산텐서영상을 획득하면 확산강조영상에서 얻게 되는 방향별 확산강조영상, 등방성(isotropic) 확산강조영상, ADC (Apparent Diffusion Coefficient) map등도 기본적으로 얻게 되므로 추가로 확산강조영상을 획득할 필요가 없다. 본 강의에서는 이러한 확산(텐서)영상의 물리적 원리를 복잡한 수학적 설명보다는 개념 위주로 설명해 보고자 한다.

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Image Emphasis by Histogram Distribution Chart Alteration (히스토그램 분포도 변경에 의한 영상 강조)

  • 허진경;이웅기
    • Proceedings of the Korea Multimedia Society Conference
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    • 2003.05b
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    • pp.370-373
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    • 2003
  • 획득한 영상의 강조는 강조된 그 자체를 이용한다는 것보다 이를 통하여 보다 낳은 결과를 얻기 위한 전처리의 한 부분이라고도 할 수 있다. 영상의 강조는 단지 화질을 보기 좋게 한다는 점이 아니라 주어진 영상으로부터 더 뚜렷한 화질을 얻는다는 것을 포함하기도 한다. 현재 영상의 개선 또는 강조 알고리즘들은 모든 영상에서 원하는 만큼의 뚜렷한 영상을 얻지 못하거나, 화질의 크기에 비례하여 많은 처리 시간을 필요로 하는 단점이 있다. 본 연구는 다양한 방법으로 촬영되는 영상에 있어서 차후 사용될 영상의 본래 활용 목적에 부합하도록 강조하는 방법이다. 이에 대한 새로운 알고리즘으로 히스토그램의 분포도를 조절하여 영상의 특징들을 강조하는 방법을 제안한다.

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Automatic fusion of T2-weighted image and diffusion weighted image in pelvis MRI (골반 T2강조 MR 영상과 확산강조 MR 영상 간 자동 융합)

  • Kang, Hye-Won;Jung, Ju-Lip;Hong, Helen;Hwang, Sung-Il
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.359-361
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    • 2012
  • 본 논문은 T2강조 MR 영상과 확산강조 MR 영상의 강체 정합을 통해 크기, 위치, 회전 변환 왜곡을 보정하여 자궁내막암의 위치를 자동으로 찾는 방법을 제안한다. 영상해상도와 밝기값 분포가 서로 다른 두 영상간 정합의 정확성을 향상시키기 위해 잡음을 제거하고 두 영상의 밝기값 신호 분포의 유사성을 강화시킨다. 유사성이 향상된 두 영상의 크기, 위치, 회전 변환 왜곡을 보정하기 위해 정규화 상호정보를 최대화 하는 강체 정합을 반복적으로 수행한다. 정합된 영상에서 악성 종양을 쉽게 판별 할 수 있도록 현상확상계수지도를 컬러맵으로 생성하여 T2강조 MR 영상에서 얻은 종양의 후보군에 매핑하여 T2강조 MR 영상과 융합한다. 실험을 위하여 최적화 반복 과정에 따른 정규화 상호정보 수치 수렴 과정을 확인하고, 융합 후 종양 영역이 매핑되는 것을 육안평가를 통해 분석하였다. 제안방법을 통하여 T2강조 MR 영상과 확산강조 MR 영상을 융합함으로써 종양의 위치를 자동으로 파악하고 자궁내막암의 병기를 확정하는 용도로 활용할 수 있다.

Analysis of Magnetic Resonance Signals from Diffusion Weighted Imaging using Compressed Sensitivity Encoding Technique (압축감도 부호화를 사용한 확산강조영상에서의 자기공명신호 분석)

  • Jang, ji-sung;Choi, kwan-woo;Jeong, mi-ae
    • Proceedings of the Korea Contents Association Conference
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    • 2019.05a
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    • pp.231-232
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    • 2019
  • 최근 압축감도 부호화라는 새로운 기술의 개발로 인하여 기존보다 더 빠른 검사시간에 자기공명영상 검사가 가능하게 되었다. 감도 부호화를 이용한 터보 스핀 에코 확산강조 자기공명영상과 비교하였을 때, 압축감도 부호화를 사용한 확산강조영상에서 영상평가와 자기공명 신호 분석을 통해 적절한 영상품질을 유지하면서, 검사시간을 줄 일수 있어 확산강조영상에서에 유용하게 사용되리라 사료된다.

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Prostate MR and Pathology Image Fusion through Image Correction and Multi-stage Registration (영상보정 및 다단계 정합을 통한 전립선 MR 영상과 병리 영상간 융합)

  • Jung, Ju-Lip;Jo, Hyun-Hee;Hong, Helen
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.9
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    • pp.700-704
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    • 2009
  • In this paper, we propose a method for combining MR image with histopathology image of the prostate using image correction and multi-stage registration. Our method consists of four steps. First, the intensity of prostate bleeding area on T2-weighted MR image is substituted for that on T1-weighted MR image. And two or four tissue sections of the prostate in histopathology image are combined to produce a single prostate image by manual stitching. Second, rigid registration is performed to find the affine transformations that to optimize mutual information between MR and histopathology images. Third, the result of affine registration is deformed by the TPS warping. Finally, aligned images are visualized by the intensity intermixing. Experimental results show that the prostate tumor lesion can be properly located and clearly visualized within MR images for tissue characterization comparison and that the registration error between T2-weighted MR and histopathology image was 0.0815mm.

Detection of Hepatic Lesion: Comparison of Free-Breathing and Respiratory-Triggered Diffusion-Weighted MR imaging on 1.5-T MR system (국소 간 병변의 발견: 1.5-T 자기공명영상에서의 자유호흡과 호흡유발 확산강조 영상의 비교)

  • Park, Hye-Young;Cho, Hyeon-Je;Kim, Eun-Mi;Hur, Gham;Kim, Yong-Hoon;Lee, Byung-Hoon
    • Investigative Magnetic Resonance Imaging
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    • v.15 no.1
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    • pp.22-31
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    • 2011
  • Purpose : To compare free-breathing and respiratory-triggered diffusion-weighted imaging on 1.5-T MR system in the detection of hepatic lesions. Materials and Methods: This single-institution study was approved by our institutional review board. Forty-seven patients (mean 57.9 year; M:F = 25:22) underwent hepatic MR imaging on 1.5-T MR system using both free-breathing and respiratory-triggered diffusion-weighted imaging (DWI) at a single examination. Two radiologists retrospectively reviewed respiratory-triggered and free-breathing sets (B50, B400, B800 diffusion weighted images and ADC map) in random order with a time interval of 2 weeks. Liver SNR and lesion-to-liver CNR of DWI were calculated measuring ROI. Results : Total of 62 lesions (53 benign, 9 malignant) that included 32 cysts, 13 hemangiomas, 7 hepatocellular carcinomas (HCCs), 5 eosinophilic infiltration, 2 metastases, 1 eosinophilic abscess, focal nodular hyperplasia, and pseudolipoma of Glisson's capsule were reviewed by two reviewers. Though not reaching statistical significance, the overall lesion sensitivities were increased in respiratory-triggered DWI [reviewer1: reviewer2, 47/62(75.81%):45/62(72.58%)] than free-breathing DWI [44/62(70.97%):41/62(66.13%)]. Especially for smaller than 1 cm hepatic lesions, sensitivity of respiratory-triggered DWI [24/30(80%):21/30(70%)] was superior to free-breathing DWI [17/30(56.7%):15/30(50%)]. The diagnostic accuracy measuring the area under the ROC curve (Az value) of free-breathing and respiratory-triggered DWI was not statistically different. Liver SNR and lesion-to-liver CNR of respiratory-triggered DWI ($87.6{\pm}41.4$, $41.2{\pm}62.5$) were higher than free-breathing DWI ($38.8:{\pm}13.6$, $24.8{\pm}36.8$) (p value < 0.001, respectively). Conclusion: Respiratory-triggered diffusion-weighted MR imaging seemed to be better than free-breathing diffusion-weighted MR imaging on 1.5-T MR system for the detection of smaller than 1 cm lesions by providing high SNR and CNR.

Diffusion-Weighted Imaging as a Stand-Alone Breast Imaging Modality (독립적 검사 방법으로서의 확산강조 자기공명영상검사)

  • Hee Jung Shin;Su Hyun Lee;Woo Kyung Moon
    • Journal of the Korean Society of Radiology
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    • v.82 no.1
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    • pp.29-48
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    • 2021
  • Diffusion-weighted magnetic resonance imaging (DW MRI) is a fast unenhanced technique that shows promise as a stand-alone modality for cancer screening and characterization. Currently, DW MRI may have lower sensitivity than that of dynamic contrast-enhanced MRI as a standalone modality for breast cancer detection but superior to that of mammography, which may provide a useful alternative for supplemental screening. Standardized acquisition and interpretation of DW MRI can improve the image quality and reduce the variability of the results. Furthermore, high-resolution DW MRI, with advanced techniques and postprocessing, will facilitate better detection and characterization of subcentimeter cancers and reduce false-negatives and false-positives. Future results from ongoing prospective multicenter clinical trials using standardized and optimized protocols will facilitate the use of DW MRI as a stand-alone modality.

Image Emphasis by Histogram Reverse Tracking Alteration (히스토그램 분포도 역추적 변경에 의한 영상 강조)

  • 허진경;김향태
    • Journal of Intelligence and Information Systems
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    • v.10 no.1
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    • pp.1-11
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    • 2004
  • It is very important part of pre-processing for get better results by image processing that get emphasized image by processing of source image. Emphasized image is not only good looking image but clear and sharp image. Emphasized images are used very useful data at contour extraction and image recognition in image processing. It have different image recognition by how much represent a origin scene in row quality image. Present algorithms that get emphasized premier image do not get clear picture of degree that want in various kind of images and there is shortcoming that need much process times being proportional size of picture quality or accumulation degree of histogram. In this paper, we propose method to change distribution chart that pixels occupy in histogram as subsequentness in reflex of various kinds as well as that picture quality reflex method to emphasize so that is suitable in practical use purpose originally of premier. Proposed algorithm re-allot histogram distribution by reverse tracking histogram. Experimental images are same result and take less processing time than histogram equalization.

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Diffus ion-Weighted MR Imaging of Spinal Cord Infarction (척수경색의 확산강조자기공명영상)

  • 김윤정;서정진;임남열;정태웅;김윤현;박진균;정광우;강형근
    • Investigative Magnetic Resonance Imaging
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    • v.6 no.2
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    • pp.166-172
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    • 2002
  • Purpose : To evaluate the usefulness of diffusion-weighted imaging(DWI) and quantitative apparent diffusion coefficient (ADC) maps in the patients with spinal cord infarction. Materials and methods : We studied 6 patients presented symptoms with spinal cord infarction, retrospectively (3 men and 3 women). We obtained multi-shot echo planar-based, DWI using 1.5T MR scanner at 5.4 mean days after the onset of ischemic symptoms. In six patients, signal intensity was acquired at conventional b value $1000s/\textrm{mm}^2$). The ADC value for the normal spinal cord and for infarcted lesions was measured from the trace ADC maps by using regions of interest positioned over the spinal cord. We analyzed signal intensity of lesion on MRI and DWI, and compared with ADC values in infarcted lesions and normal site. Results : T1-weighted MR image showed isosignal intensity in four of six patients and low signal intensity in two of six. T2-weighted MR image demonstrated high signal intensity in all of six. All DWI were considered to be diagnostic. All of six depicted a bright signal intensity on DWI. ADC values of infarcted lesion were measured lower than that of normal spinal cord on ADC map. The differences in ADC values between infarcted and normal spinal cord were significantly different (p<0.05). Conclusion : It is possible to obtain DWI and ADC map of the spinal cord and DWI may be useful in the early diagnosis and localization of lesion site in patients with spinal cord infarction.

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An Adaptive Dynamic Range Linear Stretching Method for Contrast Enhancement (영상 강조를 위한 Adaptive Dynamic Range Linear Stretching 기법)

  • Kim, Yong-Min;Choi, Jae-Wan;Kim, Yong-Il
    • Korean Journal of Remote Sensing
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    • v.26 no.4
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    • pp.395-401
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    • 2010
  • Image enhancement algorithm aims to improve the visual quality of low contrast image through eliminating the noise and blurring, increasing contrast, and raising detail. This paper proposes adaptive dynamic range linear stretching(ADRLS) algorithm based on advantages of existing methods. ADRLS method is focused on generating sub-histograms of the majority through partitioning the histogram of input image and applying adaptive scale factor. Generated sub-histograms are finally applied by linear stretching(LS) algorithm. In order to validate proposed method, it is compared with LS and histogram equalization(HE) algorithm generally used. As the result, the proposed method show to improve contrast of input image and to preserve distinct characteristics of histogram by controlling excessive change of brightness.