• Title/Summary/Keyword: MR 영상

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3D Visualization of MR Images Using Interpolation of Viewing Transformed Images (뇌 MR영상의 뷰잉 변환 특성을 이용한 3차원 가시화를 위한 영상 보간)

  • 송미영;조형제
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.05c
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    • pp.485-488
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    • 2002
  • 본 논문은 의학 연구 및 교육, 환자 치료를 위해 보다 정확한 정보를 제공하고자 의료 영상 중에 가장 많이 사용하는 의료 영상인 뇌 MR 영상의 횡단면만을 가지고 3차원으로 가시화한다. 3차원으로 재구성하는데 있어서 원 영상의 모형을 자연스러운 표현을 위해서는 층 영상과 층 영상간의 보간 영상이 필요하므로 이를 생성하는 방법에 대해서 제안한다. 그리고 3차원 재구성에 필요한 정보를 추출하기 위해 각 영상에서 머리와 뇌 영역의 윤곽선 정보를 추출하고 가시화의 시간을 줄이기 위해 윤곽선 정보에서 특징점을 추출하여 이를 기반으로 하여 3차원으로 재구성 한다.

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Automatic prostate segmentation method on dynamic MR images using non-rigid registration and subtraction method (동작 MR 영상에서 비강체 정합과 감산 기법을 이용한 자동 전립선 분할 기법)

  • Lee, Jeong-Jin;Lee, Ho;Kim, Jeong-Kon;Lee, Chang-Kyung;Shin, Yeong-Gil;Lee, Yoon-Chul;Lee, Min-Sun
    • Journal of Korea Multimedia Society
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    • v.14 no.3
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    • pp.348-355
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    • 2011
  • In this paper, we propose an automatic prostate segmentation method from dynamic magnetic resonance (MR) images. Our method detects contrast-enhanced images among the dynamic MR images using an average intensity analysis. Then, the candidate regions of prostate are detected by the B-spline non-rigid registration and subtraction between the pre-contrast and contrast-enhanced MR images. Finally, the prostate is segmented by performing a dilation operation outward, and sequential shape propagation inward. Our method was validated by ten data sets and the results were compared with the manually segmented results. The average volumetric overlap error was 6.8%, and average absolute volumetric measurement error was 2.5%. Our method could be used for the computer-aided prostate diagnosis, which requires an accurate prostate segmentation.

Comparison of PET/MR image quality with and without point spread function algorithm according to reconstruction type (재구성 방법(점 확산함수 적용 유무)에 따른 PET/MR 영상 평가)

  • Park, Chan Rok;Moon, Il Sang;Noh, Gyeong Woon
    • The Korean Journal of Nuclear Medicine Technology
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    • v.22 no.1
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    • pp.43-45
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    • 2018
  • Purpose In this study, we evaluated image by applying with and without point spread function algorithm(PSF) according to reconstruction type. Materials and Methods Biograph mMR (Siemens, Germany) was used as PET/MR scanner. For phantom study, we used NEMA IEC Body phantom maintaining radioactivity ratio (hotsphere:background = 8:1). To evaluate phantom image quality, percent contrast recovery and signal to noise ratio (SNR) were used by drawing ROI to 4 spheres. In clinical study, the 20 patients who underwent simultaneous PET/MR was selected and set the ROI at liver. we evaluated images as SNR. Results In the phantom results, The percent contrast recovery applying PSF algoritm was high 5 % compared to without PSF algoritm and SNR was also high 11 %. In the clinical study result, we confirmed that The SNR applying PSF algoritm was high 5 % compared to without PSF algoritm. Conclusion We need to simulate a lot of phantom study and clinical analysis to improve image quality for PET/MRI.

Accuracy in target localization in stereotactic radiosurgery using diagnostic machines (정위적 방사선수술시 진단장비를 이용한 종양위치결정의 정확도 평가)

  • 최동락
    • Progress in Medical Physics
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    • v.7 no.1
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    • pp.3-7
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    • 1996
  • The accuracy in target localization of CT, MR, and digital angiography were investigated for stereotactic radiosurgery. The images using CT and MR were obtained out of geometrical phantom which was designed to produce exact coordinates of several points within a 0.lmm error range. The slice interval was 3mm and FOV was 35cm for CT and 28cm for MR. These images were transferred to treatment planning computer using TCP/IP in forms of GE format. Measured 3-D coordinates of these images from planning computer were compared to known values by geometrical phantom. Anterior-posterior and lateral films were taken by digital angiography for measurement of spatial accuracy. Target localization errors were 1.2${\pm}$0.5mm with CT images, 1.7${\pm}$0.4mm with MR-coronal images, and 2.1${\pm}$0.7mm with MR-sagittal images. But, in case of MR-axial images, the target localization error was 4.7${\pm}$0.9mm. Finally, the target localization error of digital angiography was 0.9${\pm}$0.4mm. The accuracy of diagnostic machines such as CT, MR, and angiography depended on their resolutions and distortions. The target localization error mainly depended on the resolution due to slice interval with CT and the image distortion as well as the resolution with MR However, in case of digital angiography, the target localization error was closely related to the distortion of fiducial markers. The results of our study should be considered when PTV (Planning Target Volume) was determined.

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Comparison Analysis of MR Images Before and After External Beam Radiotherapy in Brachytherapy (근접치료 시 외부 방사선 치료 전후의 MR 영상 비교분석)

  • Choi, Eun-Hye;Baek, Chung-Seok;Lee, Sung-Yong;Byun, Young-Sik
    • The Journal of Korean Society for Radiation Therapy
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    • v.23 no.1
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    • pp.7-12
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    • 2011
  • Purpose: To analyze availability of MR images before and after external beam radiotherapy in brachytherapy, we will acquire MR images before and after external beam radiotherapy and compare the change of direction of uterine cavity and analyze the accuracy of applicator insertion. Materials and Methods: From January 2009 to December 2010, we compared MR images before and after external beam radiotherapy for uterine cervical cancer only with radical purpose treatment. MR images which was acquired after external beam radiotherapy has done with inserted status of CT/MR applicator. Results: As a consequence, the tumor was markedly reduced after external beam radiotherapy. The change of anteflexion of uterus turned into retroflexion of the uterine cavity was 17.1%. The case of wrong insertion of tandem include direction or length was 14.3%. Conclusion: According to MR images taken after external beam radiotherapy, we recognized not only reduced the tumor volume but the marked change of exact direction or length of the uterine cavity. So the confirmation of accurate insertion based on MR images before brachytherapy could be very helpful for optimal brachytherapy treatment planning with reduced applicator insertion errors.

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Feature Extraction and Image Segmentation of Mechanical Structures from Human Medical Images (의료 영상을 이용한 인체 역학적 구조물 특징 추출 및 영상 분할)

  • 호동수;김성현;김도일;서태석;최보영;김의녕;이진희;이형구
    • Progress in Medical Physics
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    • v.15 no.2
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    • pp.112-119
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    • 2004
  • We tried to build human models based on medical images of live Korean, instead of using standard data of human body structures. Characteristics of mechanical structures of human bodies were obtained from medical images such as CT and MR images. For each constitutional part of mechanical structures CT images were analyzed in terms of gray levels and MR images were analyzed in terms of pulse sequence. Characteristic features of various mechanical structures were extracted from the analyses. Based on the characteristics of each structuring element we peformed image segmentation on CT and MR images. We delineated bones, muscles, ligaments and tendons from CT and MR images using image segmentation or manual drawing. For the image segmentation we compared the edge detection method, region growing method and intensity threshold method and applied an optimal compound of these methods for the best segmentation results. Segmented mechanical structures of the head/neck part were three dimensionally reconstructed.

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Improved Focal Liver Lesion Detection by Increasing Flip Angle During Gadoxetic Acid-Enhancement in MRI (Gadoxetic acid 조영증강 자기공명영상에서 숙임각 변화에 따른 국소 간종양 검출능 비교)

  • Lee, SeJy;Kim, Young-Keun
    • Journal of radiological science and technology
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    • v.38 no.2
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    • pp.115-120
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    • 2015
  • To study the differences of focal liver lesion image detection at 3 minute, 10 minute and 15 minute time points on gadoxetic acid (GA)'s enhanced MR imaging with a flip angle (FA) of $30^{\circ}$ compared with a $11^{\circ}$. The subjects were 69 patients evaluated with GA enhanced MR imaging with 3.0T MR scanner. The patients are total 35(23 men and 7 women at the mean age of 60.4 years), hepatocellular carcinoma(23) and metastsis(12) except for normal, cyst and hemangioma. After GA was injected, FA $11^{\circ}$ and $30^{\circ}$ images were obtained at 3 minute, 10 minute and 15 minute time points respectively. After quantitative and qualitative assessment of each image was done, statistical analysis was performed by using the independent sample T-test. From both quantitative and qualitative assessment of 3 minute and 10 minute MR images after the injection of GA, FA $30^{\circ}$ images was found to be superior than FA $11^{\circ}$, but there were no statistical significance. However, at 15 minute time point, Statistically significant FA $30^{\circ}$ image(p<0.05) was better than FA $11^{\circ}$ therefore, the FA $30^{\circ}$ improves the focal liver lesion detection. FA $30^{\circ}$ of MR image can detect liver lesion more sensitively than the existing $FA11^{\circ}$ image after GA contrast enhancement at 15 minute time point.

Perianal Fistula: An Overview (항문주위 샛길의 개요)

  • Min Ju Kim
    • Journal of the Korean Society of Radiology
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    • v.84 no.3
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    • pp.565-585
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    • 2023
  • Perianal fistula is a common inflammatory condition in the general population and affects the area around the anal canal. Although most cases are benign, they cause serious morbidity and require surgical treatment due to a high risk of recurrence. MR imaging is a gold standard technique for the evaluation of perianal fistulas and provides accurate information on the anatomy of the anal canal, its relationship to the anal sphincter complex, accurate identification of secondary tracts or abscesses, and reporting associated complications. MR imaging can help monitor treatment effects and determine treatment methods. Crohn's disease-related fistulas often require medical rather than surgical treatment. The radiologist is required to know the anatomy and MR imaging findings of the perianal fistula to present an accurate diagnosis to the clinician.

Automated Brain Region Extraction Method in Head MR Image Sets (머리 MR영상에서 자동화된 뇌영역 추출)

  • Cho, Dong-Uk;Kim, Tae-Woo;Shin, Seung-Soo
    • The Journal of the Korea Contents Association
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    • v.2 no.3
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    • pp.1-15
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    • 2002
  • A noel automated brain region extraction method in single channel MR images for visualization and analysis of a human brain is presented. The method generates a volume of brain masks by automatic thresholding using a dual curve fitting technique and by 3D morphological operations. The dual curve fitting can reduce an error in clue fitting to the histogram of MR images. The 3D morphological operations, including erosion, labeling of connected-components, max-feature operation, and dilation, are applied to the cubic volume of masks reconstructed from the thresholded Drain masks. This method can automatically extract a brain region in any displayed type of sequences, including extreme slices, of SPGR, T1-, T2-, and PD-weighted MR image data sets which are not required to contain the entire brain. In the experiments, the algorithm was applied to 20 sets of MR images and showed over 0.97 of similarity index in comparison with manual drawing.

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Feature Extraction of Brain Structural Elements for Brain MR Images Mapping (뇌 MR 영상의 매핑을 위한 뇌 구성 요소의 특징 추출)

  • 채정숙;조경은;여인효;김준태;엄기현
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.06a
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    • pp.204-207
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    • 2001
  • 뇌 MR 영상에서 질환을 자동적으로 진단하고 판별하는 작업은 정상인의 뇌 영상과의 비교를 통해서 가능하다. 정상인과의 뇌 영상 비교를 통하여 보다 정확하게 질병에 대한 근거를 제시할 수가 있기 때문에 이러한 접근 방법들이 여러 의료영상 연구 분야에서 시도되고 있다. 정상인의 뇌 영상과의 비교를 위해서는 우선적으로 해결되어야 하는 것이 현재의 대상 영상이 정상인 뇌의 어느 위치의 영상과 일치하는 지를 판별하는 문제이다. 따라서 본 연구는 이러한 뇌 매핑에 사용될 수 있는 특징들을 추출하기 위한 것으로, 뇌 매핑에 사용되는 특징들을 추출하기 위해서 뇌 MR 영상으로부터 대리영역, 뇌영역, 뇌척수액영역 그리고 눈영역을 분할한 후 이들의 윤곽선, 최소사각형과 각 영역들의 픽셀 정보들을 찾아낸다. 이는 추후 연구할 뇌 매핑을 위한 대분류에 사용될 수 있다.

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