• Title/Summary/Keyword: 디지털 유방영상

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Implementation of Digital Mammogram CAD Algorithm (디지털 유방영상의 CAD 알고리즘 구현)

  • Lee, Byungchea;Choi, Guirack;Jung, Jaeeun;Lee, Sangbock
    • Journal of the Korean Society of Radiology
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    • v.8 no.1
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    • pp.27-33
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    • 2014
  • Medical imaging has increased rapidly in the increase of interest in health, with the development of computer technology, digitization of medical imaging is rapidly advancing, PACS has been introduced to the medical field. Increase in the production of medical images by these phenomena made increased the workload of radiologist who must read a medical image. in response to the need for secondary diagnosis using a computer, The term of CAD in medical radiology field was introduced. In this study, we have proposed a CAD algorithm for the interpretation of the image obtained by the digital X-ray mammography equipment. The experiments were performed by programmed in Visual C++ for the proposed algorithm. A result of the execution of the CAD algorithm seven sample images, the results of five samples was confirmed in breast cancer and benign tumors, both the images sample was error processing. If you use a program that implements this with the algorithm proposed in this study it is helpful to reading breast images, and it is considered to contribute significantly to the early detection of breast cancer.

Digital Mammography as a Screening Tool in Korea (국가암검진사업에서 디지털 유방촬영술의 현황과 과제)

  • Soo Yeon Song;Seri Hong;Jae Kwan Jun
    • Journal of the Korean Society of Radiology
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    • v.82 no.1
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    • pp.2-11
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    • 2021
  • More than 4 million women undergo breast cancer (BC) screening with mammography each year in Korea. Digital mammography (DM) was introduced in 2000, and it has been reported to have a higher diagnostic accuracy than screen-film mammography (SFM) or computed radiography (CR) in women with dense breasts. According to a study using data from the National Cancer Screening Program for BC, the diagnostic accuracy of DM was higher than those of SFM and CR, regardless of age, breast density, and screening round. Currently, despite high supply rate among OECD countries, the distribution of DM equipment is approximately 35% in Korea. For quick replacement with DM, it will be necessary to improve its fee for the National Health Insurance and support an educational program for radiologists. In addition, efforts should be made to increase the accessibility of DM.

Evaluation of Image Quality using Monte Carlo Simulation in Digital Mammography System (디지털유방영상시스템에서 몬테카를로 시뮬레이션을 이용한 영상평가)

  • Kim, Changsoo;Kang, Se-Sik;Kim, Jung-Hoon;Lee, Jin-Soo
    • The Journal of the Korea Contents Association
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    • v.14 no.6
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    • pp.247-254
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    • 2014
  • For the purpose of early diagnosis of the breast cancer, the attention on the screening mammography has been increasing-with supply of digital mammography day by day. Image quality is decided by target materials and filter combinations. Optimized selection by a glandular density and a thickness is needed, because these combinations change x-ray spectrum and effect to image quality. The purpose of this study is to find out optimized target and filter combinations through the evaluation of quantitative image quality and to suggest means which minimize patient dose through MCNPX. In results, spatial frequency resolution evaluation which is quantitative image quality evaluation method, MTF, NPS, DQE shows that we have to select Mo/Mo combinations or Mo/Rh combinations when compressed breast is thin. but in case of that when compressed breast is thick, we have to select Rh/Rh combinations or W /Rh combinations. In a comprehensive evaluation, W!Rh combinations which are not used in thin breasts in practice was superior to all image quality evaluation. This result is somewhat different-with clinical examination results. Secondary end point was organ dose evaluation, radiation dose of opposite breast was approximately 47 ~73% effectiveness when selecting standard breast. In conculsion, the most important point is that we have to select the optimal combinations-with considering dose evaluation and various thickness.

Suggestion of The Manual Exposure Condition Guideline for Reducing Patient Dose in Digital Breast Tomosynthesis (디지털 유방단층촬영의 피폭선량 경감을 위한 수동 촬영조건의 가이드라인 제시)

  • Hong, Eun-Ae;Lee, In-Ja
    • Journal of radiological science and technology
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    • v.39 no.4
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    • pp.483-491
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    • 2016
  • The conditions after exposure to digital mammography and digital breast tomosynthesis were analyzed. The examinations for the ACR phantom were done using manual exposure, not auto exposure, to examine image discrimination and patient dose. As a result, the following results were derived: In the CC exposure, the kVp was 2kVp higher while mAs decreased to 58.6% for the 3D tomography. Such result showed an approximate decrease of 60mAs. At that time, the patients' Average Glandular Dose (AGD) was 1.65mGy in 2D and 1.87mGy in 3D; thus, AGD of 3D was shown to have about 1.13times higher. The result of the manual exposure revealed a reduced mAs of up to 80%; there was no effect in the assessment standard in terms of image discrimination, resulting in more than 10 points. When mAs was reduced to 80% in the manual exposure for ACR phantom, AGD was decreased to 0.66mGy. The diagnostic values of images were maintained and patients dose was reduced in the manual exposure in the AEC condition for 3D. Since the use of 3D has recently increased, using the manual exposure has been recommended in this study to improve the diagnostic value, while, simultaneously reducing patients dose.

Microcalcification Extraction by Wavelet Transform and Automatic Thresholding (웨이브렛 변환과 자동적인 임계치 설정에 의한 미세 석회화 검출)

  • Won, Chul-Ho;Seo, Yong-Su;Cho, Jin-Ho
    • Journal of Korea Multimedia Society
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    • v.8 no.4
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    • pp.482-491
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    • 2005
  • In this paper, we proposed the microcalcification detection algorithm which is based on wavelet transform and automatic thresholding method in the X-ray mammographic images. Digital X-ray imaging system is essential equipment in the field diagnosis and is widely used in the various fields such as chest, fracture of a bone, and dental correction. Especially, digital X-ray mammographic imaging is known as the most important method to diagnose the breast cancer, many researches to develop the imaging system are processing in country. In this paper, we proposed a microcalcifications detection algorithm necessary in the early phase of breast cancer diagnosis and showed that a algorithm could effectively detect microcalfication and could aid diagnosis-radiologist.

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Implementation of a Full Field Digital Mammography (디지털 유방X-선촬영기의 구현)

  • Roh, Young-Sup;Yeo, Se-Yeon;Lee, Jae-Jun;Sohn, Surg-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.10
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    • pp.4578-4589
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    • 2011
  • The technologies of image acquisition, display, and storage of the breast have been developed in their specialized fields in recent years. The image acquisition system is a device that absorbs and stores images after examining breast tissue using X-ray. Due to the specificity and sensitivity of imaging, the early detection of breast cancer is feasible. In this paper, the current technologies for digital mammography are reviewed, and we propose a digital mammography and evaluate the performance of the implemented system.

The Evaluation of Radiation Dose by Exposure Method in Digital Magnification Mammography (디지털 유방확대촬영술에서 노출방식에 따른 피폭선량 평가)

  • Kim, Mi-Young;Kim, Hwa-Sun
    • Journal of radiological science and technology
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    • v.35 no.4
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    • pp.293-298
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    • 2012
  • In digital mammography, Exposure factor were automatically chosen using by measurement breast thickness and the density of mammary gland. It may cause a increase glandular dose. The purpose of this study was to investigate optimal image quality in digital magnification mammography to decrease radiation exposure of patient dose. Auto mode gives the best image quality however, AGD showed better image quality. Image quality of manual mode passed phantom test and SNR at 55% mAs of auto mode commonly used in the digital magnification mammography. Also it could reduce AGD. According to result, manual mode may reduce the unnecessary radiation exposure in digital magnification mammography.

Fuzzy Cluster Based Diagnosis System for Digital Mammogram (퍼지 클러스터 기반 디지털 유방 X선 영상 진단 시스템)

  • Rhee, Hyun-Sook;Yoon, Seok-Min
    • The KIPS Transactions:PartB
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    • v.16B no.2
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    • pp.165-172
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    • 2009
  • According to the American Cancer Society, breast cancer is the second largest cause of cancer deaths and most frequently diagnosed cancer in women. The currently most popular method for early detection of breast cancer is the digital mammography. A mass or calcification lesion has been known as the most important clue for the diagnosis. In this paper, we propose a diagnosis approach based on fuzzy cluster knowledge base. We combine different two sources of feature data in duel OFUN-NET and produce the diagnosis result with possibility degree. We also present the experimental results on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. These results show higher classification accuracy than conventional methods and the feasibility as a decision supporting tool for diagnosis of digital mammogram.

Mammography-Guided Interventional Procedure (유방촬영술 유도하 중재 시술)

  • Woo Jung Choi;Hak Hee Kim
    • Journal of the Korean Society of Radiology
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    • v.84 no.2
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    • pp.320-331
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    • 2023
  • Mammography has been the standard screening method for breast cancer. In women with suspicious calcifications and architectural distortion identified on mammography or digital breast tomosynthesis only without detected on breast US, stereotactic biopsy and mammography-guided preoperative localization is one of the method for pathologic diagnosis. This review aims to describe the indication, contraindication, technique of stereotactic biopsy, clip placement after stereotactic biopsy, and digital breast tomosynthesis-guided stereotactic biopsy. In addition, this article reviews mammography-guided preoperative localization using a wire or non-wire device.

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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