• Title/Summary/Keyword: 미세병변

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Image Analysis Using Grid Suppression Software to Remove Moire Artifact from Micro Lesions of Sprague Dawley Rat (Sprague Dawley Rat의 미세병변에서 Moire Artifact를 제거하기 위한 Grid suppression software 사용 후 영상분석)

  • Lee, Sang-Ho
    • Journal of radiological science and technology
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    • v.40 no.4
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    • pp.575-580
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    • 2017
  • Because moire artifacts overlap with fine lesions and frequency bands, image processing software that removes moire artifacts can lead to loss of micro lesions. In this study, microscopic lesions such as microcalcification and microfracture were randomly formed on SD (Sprague Dawley) rats and image and optimized grid images were compared and analyzed using reference image and grid suppression software. The images were read by two consecutive radiologists using a McNemar's test. Among the 73 microcalcifications, in the 13 cases after grid suppression, the image of the optimized grid shows the loss of image in 3 cases, and the image after grid suppression shows statistically significant image loss (p=0.021). In all 53 fracture lines, there were 19 cases of image loss after the grid suppression, and only one case of the optimized grid showed no image loss. Therefore, the use of grid suppression software to remove moire artifacts should be carefully considered in the diagnosis of micro lesions.

Clustered Microcysts Detected on Breast US in Asymptomatic Women (무증상 여성의 유방초음파에서 발견된 군집 미세낭종)

  • Hyun Jin Kim;Jin Hwa Lee;Young Mi Park;Kyungjae Lim
    • Journal of the Korean Society of Radiology
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    • v.84 no.3
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    • pp.676-685
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    • 2023
  • Purpose To investigate the incidence, outcomes, and imaging characteristics of clustered microcysts detected on breast US in asymptomatic women, and suggest appropriate management guidelines. Materials and Methods We identified and reviewed the lesions recorded as "clustered microcysts" on breast US performed in asymptomatic women between August 2014 and December 2019. The final diagnosis was based on pathology and imaging follow-up results for at least 12 months. Results The incidence was 1.5% and 100 patients with 117 lesions were included. Among 117 lesions, 3 (2.6%), 2 (1.7%), and 112 (95.7%) were malignant, high-risk benign, and benign lesions, respectively. The malignant lesions included two cases of ductal carcinoma in situ and one invasive ductal carcinoma. Two of them were assessed as category 4, showing mammographic suspicious microcalcifications and internal vascularity on Doppler US. The remainder was a false negative case and showed echo pattern change on the 12-month follow-up US. Conclusion The incidence of clustered microcysts on breast US in asymptomatic women was 1.5% and malignancy rate was 2.6% (3 of 117). Knowledge of outcomes and imaging features of benign and malignant clustered microcysts may be helpful for radiologists, thereby aiding categorization and management recommendations.

A Detection of the Microcalcification using fractal Dimension on Mammograms (Mammogram에 있어서 Fractal Dimension을 이용한 Microcalcification 검출)

  • 남상희;최준영;서지현
    • Proceedings of the Korea Multimedia Society Conference
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    • 1998.04a
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    • pp.128-132
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    • 1998
  • 유방암의 조기진단을 위한 수단으로 Mammography의 x-선 film-screen이 많이 사용된다. 그러나, Mammogram에서 정상조직과 암조직 간의 대조도 차이가 크지 않으므로 판독은 그다지 쉽지가 않다. 이러한 문제들의 해결을 위하여 mammogram의 디지털 화상처리 및 분석 연구가 활발히 진행 중이다. 본 연구에서는 진단방사선의들이 필름을 판독할 때 시각적인 인지도를 높여주고, 보다나은 의료지원 서비스의 제공을 위한 목적으로, 유방암의 조기진단의 중요한 요소인 미세석회의 검출을 위한 방법으로서 fractal dimension을 구하여 종괴와 미세석회, 미세석회에 대한 차이를 분석하고자 하였다. 각각의 실험군에 대하여 30명씩 60명의 데이터를 0.1mm resolution의 12bit gray scale로 획득하여 사용하였는데, 일차로 화상의 대조도 개선을 위하여 처리를 하였고 화상의 분석으로 강조된 화상의 불규칙정도 및 거친 정도를 나타내기 위하여 fractal dimension을 계산하였다. 원화상에서 가시적으로 분간하기 힘들었던 병변을 화상처리를 통해 강조된 화상에서는 쉽게 그 특징을 볼 수 있었다. 실제로 mammogram을 진단할 때, 강조화상으로 미세석회와 같은 조기진단의 가시적인 판단을 도모할 수 있으며, 미세석회의 진단에서 fractal dimension값을 이용하여 병변 특성의 하나로서 사용할 수 있을 것으로 판단된다.

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Development of Automatic Cluster Algorithm for Microcalcification in Digital Mammography (디지털 유방영상에서 미세석회화의 자동군집화 기법 개발)

  • Choi, Seok-Yoon;Kim, Chang-Soo
    • Journal of radiological science and technology
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    • v.32 no.1
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    • pp.45-52
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    • 2009
  • Digital Mammography is an efficient imaging technique for the detection and diagnosis of breast pathological disorders. Six mammographic criteria such as number of cluster, number, size, extent and morphologic shape of microcalcification, and presence of mass, were reviewed and correlation with pathologic diagnosis were evaluated. It is very important to find breast cancer early when treatment can reduce deaths from breast cancer and breast incision. In screening breast cancer, mammography is typically used to view the internal organization. Clusterig microcalcifications on mammography represent an important feature of breast mass, especially that of intraductal carcinoma. Because microcalcification has high correlation with breast cancer, a cluster of a microcalcification can be very helpful for the clinical doctor to predict breast cancer. For this study, three steps of quantitative evaluation are proposed : DoG filter, adaptive thresholding, Expectation maximization. Through the proposed algorithm, each cluster in the distribution of microcalcification was able to measure the number calcification and length of cluster also can be used to automatically diagnose breast cancer as indicators of the primary diagnosis.

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A study on background image pre-processing effect for galactography (유관조영술 영상의 배경영상 전처리 영향연구)

  • Hong, Jiyun;Lee, Jiwon;Kim, Dabin;Lee, Onseok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.990-992
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    • 2015
  • X-선 영상은 소량의 방사선을 이용하여 만들어지는데 진단 결과를 빠르게 알 수 있지만 혈관이나 근육 밀도가 비슷한 구조물을 구분하는데 있어 주관적 판단이 개입된다. 따라서 영상을 보며 병변의 유무를 진단 할 때에도 정상조직과 병변조직과의 농도차이가 확연하게 들어나지 않은 경우에 환자의 상태를 정확히 진단하기 어렵다. 이러한 x선 촬영영상의 문제점이 있기에 미세한 농도의 차이를 보다 확실히 구분 지을 수 있기 때문에 영상처리가 요구된다. 특히 유선조영 촬영의 경우 주변의 연부조직과 유선의 밀도차이를 극대화시키기 위해 조영제를 유선으로 주입하여 영상을 얻는데, 미세한 병변을 놓치지 않고 객관적으로 판별을 할 수 있도록 다양한 배경영상 전처리 알고리즘의 영향을 분석하였다.