• 대한방사선기술학회지:방사선기술과학
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• 제20권2호
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• pp.56-62
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• 1997

To evaluated the image quality and the patient exposure for the chest radiography, its fundamental imaging properties were investigated. The basic imaging properties were evaluated by measuring characteristic curves, relative speeds, average gradient, and patient exposure dose. The image qualities were evaluated by using a rotating meter. It was found that the film gradient of SRO750/SRH system was 3.13 and that of SRO750/HR-C30 was 1.77. The ratio of SRO1000/TMH to FS/RP-1 was 1 to 18.2. It was possible to visualize the static image when the exposure time was less than 2.5 msec in patient that had respiratory excessive motion, heart beat and natural physical motion, and less than 8.5 msec in normal. The ratio of medical exposure dose compared with our method was 1 to 25 in the routine chest radiography and maximum was 1 to 70. In estimation of the image quality in same cases, we found that the image of SRO1000/SRH and TMH of super sensitive systems was the same results. We found that these super sensitive screen-film systems were available for the chest radiography considering the relationship between the image quality and patient exposure.

• 한국방사선학회논문지
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• 제8권4호
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• pp.203-210
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• 2014

X선을 이용한 chest radiography는 일반적으로 180 cm의 SID에서 실시되고 있다. digital chest radiography에서 AEC를 적용하고 120 kVp, 320 mA에서 SID를 180 cm부터 340 cm까지 20 cm 단위로 증가시켜 가며 영상의 질과 환자선량의 관계를 알아보았다. chest phantom 영상의 정성적인 영상평가를 위해 VGA를, 정량적인 평가를 위해 SNR을 분석하였다. 선량은 ESAK로 측정하고 effective dose는 PCXMC를 이용하였다. 연구결과 일반적으로 시행되는 SID 180 cm를 기준으로 했을 때, ESAK의 경우 240 cm, 280 cm, 320 cm에서 각각 8.7%, 11.47%, 13.56%의 유의한 감소가 있었다. effective dose의 경우 전신에 대해 2.89%, 4.67%, 6.41%의 감소, 폐에서 5.08%, 6.98%, 9.6%의 감소가 관찰되었다. SNR의 경우 각각 9.04%, 8.24%, 11.46%의 감소가 관찰되었으며 특히, SID 260 cm ~ 300 cm 구간에서 8.03%의 작은 감소가 나타났고 SID 340 cm까지도 5.24로 5이하로 감소되지 않았다. VGA에서는 통계적으로 유의한 차이가 없는 진단적 가치가 높은 영상으로 평가되었다. 따라서 eigital chest radiography에서 SID를 300 cm까지 증가시킴으로 화질의 저하 없이 환자선량을 감소시킬 수 있을 것으로 기대된다.

• 전자공학회논문지 IE
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• 제48권1호
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• pp.51-56
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• 2011

본 연구에서는 흉부 CR 영상에 대하여 다양한 디지털 영상처리 기법을 가하여 영상의 질을 개선시키고 화질 평가를 수행하였다. 또한 흉부 CR 영상의 선예도를 개선하기 위해서 고주파 강조 필터링과 히스토그램 평활화를 MATLAB으로 구현하여 시뮬레이션 한 결과 고주파 강조 필터링과 히스토그램 평활화를 통해서 원영상의 대조도가 개선되었다. 디지털영상처리에 의해 화질의 개선된 정도를 평가하기 위해서 영상의 관찰에 의한 주관적 평가기법을 이용하였다. 신호 또는 병소가 있는 영상에서 신호 또는 병소를 발견할 확률로 감도를 계산하였다. 고주파 강조 필터링과 히스토그램 평활화가 수행된 영상의 감도는 원영상보다 개선되었고, 의료영상에서 수행된 디지털 영상처리는 영상의 질을 향상시켰다.

• 대한의용생체공학회:의공학회지
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• 제13권1호
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• pp.25-32
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• 1992

A new restoration method of chest X -ray image (dual project filter) was proposed to improve SNR(signal to noise ratio) characteristics. In this method, a priori Information of system and anatomical structure and statistics of projected object are used in the design of filter. Dual projection filter varies its parameters, adapting to the local regions of chest(lung region, mediasternum, subdiaphragm) and the structure of chest (bone, tissue, blood vessel, bronchia). The performance of Dual Projection Filter was 0.1-0.2dB better than Dual Sensor Wiener Filter, which was used for initial estimate of Dual Porjection Filter.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.741-745
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• 1991

This paper describes a feature extraction in digitized chest X-ray image and CT head Image. There are Extraction, Thresholding, Region G rowing, Split-Merge and Relaxation in feature extraction technique. In this study, Region Growing System was realized and Fuzzy Set Theory was applied in order to extract the vague region which the conventional method has difficulties in extracting. The performance of proposed algorithm was proved by being applied to chest X-ray image and CT head image.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.442-445
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• 2002

We present an algorithm for automatic anatomically adaptive image enhancement of digital chest radiographs. Chest images were exposed using digital radiography system with a 0.143 mm pixel pitch, l4-bit gray levels, and 3121 ${\times}$ 3121 matrix size. A chest radiograph was automatically divided into two classes (lung field and mediastinum) by using a maximum likelihood method. Each pixel in an image was processed using fuzzy domain transformation and enhancement of both the dynamic range and local gray level variations. The lung fields were enhanced appropriately to visualize effectively vascular tissue, the bronchus, and lung tissue, etc as well as pneumothorax and other lung diseases at the same time with the desired mediastinum enhancement. A prototype implementation of the algorithm is undergoing trials in the clinical routine of radiology department of major Korean hospital.

• 대한방사선기술학회지:방사선기술과학
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• 제40권2호
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• pp.179-186
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• 2017

본 연구는 디지털 흉부 방사선 영상에서 한국인 성인 남성을 대상으로 자세(흉부 후-전과 전-후 촬영)와 연령에 따른 심장 크기 및 심흉비의 정상범위와 자세 및 연령 변화에 따른 상호 호환할 수 있는 변환율을 제시하고자 한다. 2014년 1월부터 12월까지 건강검진센터에서 같은 날에 흉부 후-전 촬영(chest PA)과 흉부 저선량 전산화단층촬영을 실시한 수진자 중 정상으로 판독된 1,300명에서 연구 목적에 적합한 남성 1,024명을 대상으로 하였다. 심장 크기(CS)와 심흉비(CTR) 측정은 Danzer의 방법을 이용하였다. 본 연구 결과, 한국 남성의 Chest PA 및 AP영상에서 CS와 CTR의 정상범위는 Chest PA의 경우 CS 135.48 mm, CTR 43.99％이었으며, Chest AP 영상에서 CS는 155.96 mm, CTR은 51.75％로 나타났다. CS와 CTR의 평균값 차이는 통계적으로 유의하였다(p<0.01). Chest PA와 AP영상에서 심장 좌 우측은 통계적으로 유의한 차이가 없었다(p>0.05). CS의 경우는 Chest PA(p>0.05)와 Chest AP(p<0.05)에서 통계적 유의성의 차이를 보였다. 흉곽크기와 CTR은 Chest PA와 AP 모두에서 연령변화에 따른 통계적으로 유의한 평균값의 차이를 보였다(p<0.01). 본 연구 결과 Chest PA보다 Chest AP영상에서 CS는 약 15%, CTR은 17% 확대되었고, 모든 연령에서 자세변화에 따른 CS와 CTR은 약 10%의 차이를 보였다.

• 전자공학회논문지B
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• 제31B권8호
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• pp.160-171
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• 1994

The wide dynamic range and severely attenuated contrast in mediastinal area appearing in typical chest radiographs have often caused difficulties in effective visualization and diagnosis of lung diseases. This paper proposes a new adaptive image enhancement technique which potentially solves this problem and there by improves observer performance through image processing. In the proposed method image processing is applied to the chest radiograph with different processing parameters for the lung field and mediastinum adaptively since there are much differences in anatomical and imaging properties between these two regions. To achieve this the chest radiograph is divided into the lung and mediastinum by gray level thresholding using the cumulative histogram and the dynamic range compression and local contrast enhancement are carried out selectively in the mediastinal region. Thereafter a gray scale transformation is performed considering the JND(just noticeable difference) characteristic for effective image displa. The processed images showed apparenty improved contrast in mediastinum and maintained moderate brightness in the lung field. No artifact could be observed. In the visibility evaluation experiment with 5 radiologists the processed images with better visibility was observed for the 5 important anatomical structures in the thorax.

• 대한의용생체공학회:의공학회지
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• 제44권4호
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• pp.293-301
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• 2023

Scoliosis is a three-dimensional deformation of the spine that is a deformity induced by physical or disease-related causes as the spine is rotated abnormally. Early detection has a significant influence on the possibility of nonsurgical treatment. To train a deep learning model with preprocessed images and to evaluate the results with and without data augmentation to enable the diagnosis of scoliosis based only on a chest X-ray image. The preprocessed images in which only the spine, rib contours, and some hard tissues were left from the original chest image, were used for learning along with the original images, and three CNN(Convolutional Neural Networks) models (VGG16, ResNet152, and EfficientNet) were selected to proceed with training. The results obtained by training with the preprocessed images showed a superior accuracy to those obtained by training with the original image. When the scoliosis image was added through data augmentation, the accuracy was further improved, ultimately achieving a classification accuracy of 93.56% with the ResNet152 model using test data. Through supplementation with future research, the method proposed herein is expected to allow the early diagnosis of scoliosis as well as cost reduction by reducing the burden of additional radiographic imaging for disease detection.

• 대한디지털의료영상학회논문지
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• 제8권1호
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• pp.27-32
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• 2006

The rapid development in digital acquisition technology in radiography has not been accompanied by information regarding optimum radiolographic technique for use with an amorphus silicon flat panel detector. The purpose of our study was to compared imaging characteristics and image quality of an amorphus silicon flat panel detectors for digital chest radiography. All examinations were performed by using an amorphus silicon flat panel detector. Chest radiographs of an chest phantom were obtained with peak kilovoltage values of 60$\sim$150 kVp. Published data ell the effect of x-ray beam energy on imaging characteristics and image qualify when using an amorphus silicon flat panel detector. It is important that radiographers are aware of optimum kVp selection for an amorphus silicon flat panel detector system, particularly for the commonly performed chest examination.