• Title/Summary/Keyword: 디지털 방사선 촬영

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Variation of Image Quality and Dose by Applying Multi-Leaf Collimator for Digital Mammography (디지털 유방촬영장치에서 다엽 조리개 적용으로 인한 화질과 선량의 변화)

  • Kwon, Soon Mu;Kim, Boo Soon;Park, Hyung Jun;Kang, Yeong Han
    • Journal of the Korean Society of Radiology
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    • v.9 no.7
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    • pp.535-540
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    • 2015
  • Collimator has important functions with control primary X-ray that decrease radiation exposure dose for patients and reduce scatter ray and make better quality of image. But there are no regulations for X-ray mammography device of collimator, so widely used device adopt rectangularly controlled collimator. Though digital X-ray mammography device expand supply recently, rectangularly controlled collimator of film/screen mode still used. After searching for real condition of beam field with digital mammography, we made a multi-leaf collimator which is able to adjust the beam field in accordance with size and shape of breast, and we measuring up the transitions of image quality, average glandular dose(AGD) and, Dose area product(DAP). There are no significant differences between rectangularly controlled collimator and multi-leaf collimator, and DAP value decreased by 50.72%. As conclusion, there needs to expand the use of multi-leaf collimator for optimum adoption of beam field in digital mammography, and also need to develop an automatic regulation of beam field for reduce of exposure dose to patients.

Reduction of Radiation Dose according to Geometric Parameters from Digital Coronary Angiography (디지털 심혈관조영장치의 기하학적 특성에 따른 선량 감소)

  • Kang, Yeonghan;Cho, PyongKon
    • Journal of the Korean Society of Radiology
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    • v.7 no.4
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    • pp.277-284
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    • 2013
  • This study aims to find out geometric parameters which practitioner adjustable to reduce dose in coronary angiography. We take fluoroscopy and cine exposure by use of phantom, and got dose use the dose-area product(DAP) meter of angiography device, than convert DAP to effective dose. As results, Cine exposure shows higher dose measurement about 6-7 times than fluoroscopy. Dose in frame per second(FPS) mode could be decrease down to 70%, as lower FPS. In view of X-ray tube angle, LAO $45^{\circ}$+Caudal $30^{\circ}$ shows highest dose measurement. More use of Collimator, lower dose measurement. Source-image intensifier distance(SID) get longer to 10cm, dose of each fluoroscopy and cine exposure increase up to 25-30%. Image magnification of field of view(FOV) could increase dose up to 1.21-2 times. Also table-image intensifier distance get longer to 10cm, dose increased 1.11-1.25 times. Practitioner can adjust several geometric parameters, as FPS mode, tube angle, Collimation, SID, table-image intensifier distance, FOV. And each factors can reduce radiation dose in coronary angiography.

Prediction of Entrance Surface Dose in Chest Digital Radiography (흉부 디지털촬영에서 입사표면선량 예측)

  • Lee, Won-Jeong;Jeong, Sun-Cheol
    • Journal of the Korean Society of Radiology
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    • v.13 no.4
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    • pp.573-579
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    • 2019
  • The purpose of this study is predicted easily the entrance surface dose (ESD) in chest digital radiography. We used two detector type such as flat-panel detector (FP) and IP (Imaging plate detector). ESD was measured at each exposure condition combined tube voltage with tube current using dosimeter, after attaching on human phantom, it was repeated 3 times. Phantom images were evaluated independently by three chest radiologists after blinding image. Dose-area product (DAP) or exposure index (EI) was checked by Digital Imaging and Communications in Medicine (DICOM) header on phantom images. Statistical analysis was performed by the linear regression using SPSS ver. 19.0. ESD was significant difference between FP and IP($85.7{\mu}Gy$ vs. $124.6{\mu}Gy$, p=0.017). ESD was positively correlated with image quality in FP as well as IP. In FP, adjusted R square was 0.978 (97.8%) and linear regression model was $ESD=0.407+68.810{\times}DAP$. DAP was 4.781 by calculating the $DAP=0.021+0.014{\times}340{\mu}Gy$. In IP, adjusted R square was 0.645 (64.5%) and linear regression model was $ESD=-63.339+0.188{\times}EI$. EI was 1748.97 by calculating the $EI=565.431+3.481{\times}340{\mu}Gy$. In chest digital radiography, the ESD can be easily predicted by the DICOM header information.

치과임상에서의 Digital Camera의 실제적 활용

  • Choe, Jae-Hun;Kim, Yeong-Jun
    • The Journal of the Korean dental association
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    • v.38 no.6 s.373
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    • pp.570-577
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    • 2000
  • 새 천년을 여는 이 시대의 화두는 인터넷과 디지털이라 해도 과언이 아닐 것이다. 이에 발맞추어 디지털을 치과 임상에 적용하고자 하는 많은 시도들이 있으며, 특히 치과 방사선 분야에서 다양한 결과들을 실제 임상에서 많이 이용하고 있다. 또한 많은 임상의들이 디지털 카메라를 이용하여 임상사진을 체득하고 활용하려는 시도들을 많이 하고 이용하고 있으나, 디지털 카메라에 대한 정확한 이해 없이 일반 광학 카메라와 동일시 하는 생각으로 수많은 시행착오를 겪고 결국 애써 장만한 디지털 카메라를 사장시키거나 제대로 이용하지 못하는 경우들을 주위에서 많이 보아왔다. 필자도 처음 디지털 카메라를 장만하였을 때 많은 실행착오와 좌절을 경험했지만, 그 동안 수집한 정보를 비교 분석해서 얻어낸 결과와 실제 촬영을 통해 완성시킨 다양한 테크닉을 중심으로 이 글을 서술한다. 디지털 카메라를 소장하고 있거나 구입 의향이 있는 분들에게 유용한 정보가 되기를 바라면 6월과 7월 2회에 걸쳐 본 글을 게재한다.

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Rate of Transformation and Normal Range about Cardiac Size and Cardiothoracic Ratio According to Patient Position and Age at Chest Radiography of Korean Adult Man (한국인 성인 남성의 흉부 방사선영상에서 자세와 연령에 따른 심장 크기 및 심흉비의 정상 범위와 변환율)

  • Joo, Young-Cheol;Lim, Cheong-Hwan;Kim, Yun-Min;Jung, Hong-Ryang;Hong, Dong-Hee
    • Journal of radiological science and technology
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    • v.40 no.2
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    • pp.179-186
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    • 2017
  • Purpose of this study is present the normal range of cardiac size and cardiothoracic ratio according to patient position(chest PA and AP) and age of Korean adult male on digital chest X - ray, And to propose a mutually compatible conversion rate. 1,024 males were eligible for this study, among 1,300 normal chest patients who underwent chest PA and low-dose CT examinations on the same day at the 'S' Hospital Health Examination Center in Seoul From January to December 2014. CS and CTR were measured by Danzer (1919). The mean difference between CS and CTR was statistically significant (p<0.01) in Chest PA (CS 135.48 mm, CTR 43.99%) and Chest AP image (CS 155.96 mm, CTR 51.75%). There was no statistically significant difference between left and right heart in chest PA and AP images (p>0.05). CS showed statistically significant difference between Chest PA (p>0. 05) and Chest AP (p<0.05). The thorax size and CTR were statistically significant (p<0.01) in both age and chest PA and AP. Result of this study, On Chest AP image CS was magnified 15%, CTR was magnified 17% compare with Chest PA image. CS and CTR were about 10% difference by changing posture at all ages.

AC Servo System Design of Digital Radiography Equipment (디지털 방사선 검사장치(DR)의 AC 서보 시스템 설계)

  • Jeong, Sungin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.133-138
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    • 2022
  • Digital radiation inspection equipment is a medical device that deals with human life and requires stability and high reliability. However, this system is currently the most advanced technology and the domestic market is almost occupied by European products including Japan. Therefore, research and development are needed not only to replace domestic medical devices, which are largely dependent on expensive imported products, but also to develop more economical and user-oriented products that are easy to operate and produce devices that lead to accurate diagnosis. In particular, among the digital X-ray systems, the motor driving technology and the mechatronics technology related to the development of mechanical devices have matured to some extent in Korea. In this paper, selection of AC servomotor for digital radiation inspection suitable for imaging purpose, and application of conversion device and control method to check performance and improve problems.

Findings on Chest Low-Dose CT Images of Group Exposed to Inorganic Dusts (분진에 노출되었던 집단의 흉부 저선량 CT영상 소견)

  • Lee, Won-Jeong;Seon, Jong-Ryul;Ahn, Bong-Seon;Park, Young-Sun
    • Journal of radiological science and technology
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    • v.34 no.4
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    • pp.305-314
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    • 2011
  • The purpose of this study was to compare the findings on the chest low-dose CT (LDCT) images between the negative and positive groups for pneumoconiosis in the group exposed to inorganic dust. From May 30, 2007 to August 31, 2008, total 328 subjects were examined by a LDCT. LDCT images were read by a chest radiologist who has much experience for reading of pneumoconiosis. All subjects were classified into two groups based on digital images after consensus reading of two radiologists according to the ILO 2000 guidelines; negative group (87, 26.5%) without pneumoconiosis and positive group (241, 73.5%). Statistical analysis was performed using a SPSS 14.0. There were significant differences in age (60.9 vs. 65.0, p<0.001), and in dust expose duration (17.0 vs. 19.2, p=0.024) between two groups, but no significant difference in smoking (p=0.784). Of the 328 subjects, 13 diagnosis were extracted from 245 subjects (74.7%). Coronary artery calcification (CAC) was significantly higher in positive group than that in negative group (36.9% vs. 25.3%, p=0.049). Honeycombing showed higher frequency in positive group than in negative group (6.2% vs. 1.2%, p=0.079). Pneumoconiosis findings caused by inorganic dusts exposure showed the significant relation with CAC on LDCT images. Future studies need to prove that pneumoconiosis finding is independent risk factor for CAC using a coronary artery angiography.

A Feasibility Study on the Improvement of Diagnostic Accuracy for Energy-selective Digital Mammography using Machine Learning (머신러닝을 이용한 에너지 선택적 유방촬영의 진단 정확도 향상에 관한 연구)

  • Eom, Jisoo;Lee, Seungwan;Kim, Burnyoung
    • Journal of radiological science and technology
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    • v.42 no.1
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    • pp.9-17
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    • 2019
  • Although digital mammography is a representative method for breast cancer detection. It has a limitation in detecting and classifying breast tumor due to superimposed structures. Machine learning, which is a part of artificial intelligence fields, is a method for analysing a large amount of data using complex algorithms, recognizing patterns and making prediction. In this study, we proposed a technique to improve the diagnostic accuracy of energy-selective mammography by training data using the machine learning algorithm and using dual-energy measurements. A dual-energy images obtained from a photon-counting detector were used for the input data of machine learning algorithms, and we analyzed the accuracy of predicted tumor thickness for verifying the machine learning algorithms. The results showed that the classification accuracy of tumor thickness was above 95% and was improved with an increase of imput data. Therefore, we expect that the diagnostic accuracy of energy-selective mammography can be improved by using machine learning.

Effect of Field Size on the Clinical Exposure Index for Lumbar Spine X-ray Examination (노출지수를 이용한 요추 X선 촬영의 조사야 유효성 평가)

  • Park, Hyemin;Yoon, Yongsu;Kim, Jungsu;Jeong, Hoiwoun
    • Journal of radiological science and technology
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    • v.44 no.3
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    • pp.183-187
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    • 2021
  • The field size of the lumbar spine X-ray examination, which belongs to the most frequent examination in general radiography, is 5 times wider than the width of the lumbar spine. Exposure index (EI) as per International Electrotechnical Commission has a proportional relationship with the dose incident on the image receptor for clinical protocols in addition to RQA5, which is a calibration beam quality. In this study, the effectiveness of the set field size was evaluated through the change of EI according to the size of field during lumbar spine X-ray examinations. Lumbar anterior-posterior and lateral examinations was performed using a whole-body phantom, and the national average exposure conditions of Korea investigated in 2017 were introduced for the X-ray exposure. As a result of comparing the EI displayed on the console of digital radiography system for the three field size in ① 18 × 36 cm2 ② 25 × 36 cm2 ③ 36 × 36 cm2, the EI values showed a tendency to increase as the field size increased. Since the patient dose, such as organ dose around the lumbar spine, increases as the field size becomes larger, thus, if the EI obtained from the field size at a level that does not interfere with diagnosis is set as a reference, the effectiveness of the field size can be evaluated through the EI displayed on the console when the lumbar spine X-ray examination is conducted.

Artifacts in Digital Radiography (디지털 방사선 시스템에서 발생하는 Artifact)

  • Min, Jung-Whan;Kim, Jung-Min;Jeong, Hoi-Woun
    • Journal of radiological science and technology
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    • v.38 no.4
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    • pp.375-381
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    • 2015
  • Digital Radiography is a big part of diagnostic radiology. Because uncorrected digital radiography image supported false effect of Patient's health care. We must be manage the correct digital radiography image. Thus, the artifact images can have effect to make a wrong diagnosis. We report types of occurrence by analyzing the artifacts that occurs in digital radiography system. We had collected the artifacts occurred in digital radiography system of general hospital from 2007 to 2014. The collected data had analyzed and then had categorize as the occurred causes. The artifacts could be categorized by hardware artifacts, software artifacts, operating errors, system artifacts, and others. Hardware artifact from a Ghost artifact that is caused by lag effect occurred most frequently. The others cases are the artifacts caused by RF noise and foreign body in equipments. Software artifacts are many different types of reasons. The uncorrected processing artifacts and the image processing error artifacts occurred most frequently. Exposure data recognize (EDR) error artifacts, the processing error of commissural line, and etc., the software artifacts were caused by various reasons. Operating artifacts were caused when the user didn't have the full understanding of the digital medical image system. System artifacts had appeared the error due to DICOM header information and the compression algorithm. The obvious artifacts should be re-examined, and it could result in increasing the exposure dose of the patient. The unclear artifact leads to a wrong diagnosis and added examination. The ability to correctly determine artifact are required. We have to reduce the artifact occurrences by understanding its characteristic and providing sustainable education as well as the maintenance of the equipments.