• KIPS Transactions on Software and Data Engineering
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• v.12 no.1
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• pp.51-58
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• 2023

In this paper, we propose an organ segmentation technique for the automatic extraction of medical diagnostic indicators from X-ray images. In order to calculate diagnostic indicators of heart disease and spinal disease such as VHS(vertebral heart scale) and Cobb angle, it is necessary to accurately segment the thoracic spine, carina, and heart in a chest X-ray image. A deep neural network model in which the high-resolution representation of the image for each layer and the structure converted into a low-resolution feature map are connected in parallel was adopted. This structure enables the relative position information in the image to be effectively reflected in the segmentation process. It is shown that learning performance can be improved by combining the OCR module, in which pixel information and object information are mutually interacted in a multi-step process, and the channel attention module, which allows each channel of the network to be reflected as different weight values. In addition, a method of augmenting learning data is presented in order to provide robust performance against changes in the position, shape, and size of the subject in the X-ray image. The effectiveness of the proposed theory was evaluated through an experiment using 145 human chest X-ray images and 118 animal X-ray images.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.351-357
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• 2023

This Study Rreceived Subjective Evaluation ROC Evaluation from five projection. of projection. at a University Hospital to Obtain and Diagnose Sharp images of apophyseal joints and Vertral arch of Thoracic vertebrae from thoracic X-ray projection. In the Subjective evaluation, the highest Score was obtained by raising the phantom from Supine to LAO by 70° and scoring 20 points at 5° with the X-ray Tube facing the head. In addition, he scored the highest score of 19 points at 8° with the Prone Phantom standing 60° with RAO and the X-ray Tube facing the head. For Objective Evaluation, the Signal-to-noise ratio, was calculated. ROI was set at 1,564 mm2 to obtain the image signal average value (Mean value) and the Standard deviation (SD value). Objective Evaluation The signal-to-noise ratio, was the highest at 5° toward the head in the LPO 70° position of the phantom in the lying position of the Thoracic spine projection, and the Thoracic Spine was the highest at 8° toward the head of the RAO posture of 5,645.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.212-218
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• 2020

There are dozens of different types of lesions that can be diagnosed through chest X-ray images, including Atelectasis, Cardiomegaly, Mass, Pneumothorax, and Effusion. Computed tomography(CT) test is generally necessary to determine the exact diagnosis and location and size of thoracic lesions, however computed tomography has disadvantages such as expensive cost and a lot of radiation exposure. Therefore, in this paper, we propose a deep learning algorithm for judging the presence or absence of lesions in chest X-ray images as the primary screening tool for the diagnosis of thoracic lesions. The proposed algorithm was designed by comparing various configuration methods to optimize the judgment of presence of lesions from chest X-ray. As a result, the evaluation rate of lesion presence of the proposed algorithm is about 1% better than the existing algorithm.

• Journal of the Korean Society of Radiology
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• v.15 no.3
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• pp.329-336
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• 2021

The Study studied the Inspection Method of Images to obtain a sharp image of the Costume among the bones Composed of Thoracic Using the Thoracic Cage Rando Phantom. At 80 cm of the phantom Distance at the X-ray tube focus, the position of the Phantom was Examined by Changing the Rt and Lt Posterior Oblique(LAO) and Rt and Lt Posterior Postero Oblique positions by 20°, 25° and 30°. The acquired images were Subjectively Evaluated by the Radiographer, and the Evaluation data were analyzed as SPSS ver. 3.0. The signal-to-noise ratio (SNR) was Calculated using the ImageJ Program. As a result, the Cronbach Alpha value was Significantly higher at 0.789. The results of the Signal-to-Noise Ratio (SNR) were high at 20° to 6.038 in the right posterior Transcription Direction at the time of Examination and 7.860, in the Supine Position, for images of Sternum bones. In conclusion, it is Believed that the patient position can be obtained from the Right Anterior Oblique(RAO) Position 20° if the X-ray technique is used to obtain the Sternum's advanced image, and the Left Anterior Oblique(LAO) Position 25° when filming in the Rght lying position.

• Journal of Trauma and Injury
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• v.18 no.2
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• pp.119-126
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• 2005

Background: Blunt thoracic trauma in children has a high morbidity and mortality. In this study, we assessed the significance of the injury pattern, mechanism and initial status in emergency department on severity and prognosis in pediatric blunt thoracic trauma patients. Method: We retrospectively reviewed medical records and chest X-ray and CT images of 111 pediatric blunt thoracic trauma patients from October 2000 to June 2005. Data recorded age, gender, season, injury mechanism, injury pattern, associated injury, length of hospital stay and cause of death. Result: Of all 111 patients, 68 patients were injured by motor vehicle accidents, 30 were falls, 5 were motorcycle accidents, 3 were sports accidents and 5 were miscellaneous. In thoracic trauma, single injury of lung contusion were 35 patients and 32 patients had multiple thoracic injuries. Hospital stay in school age group were longer than preschool age group. The causes of death were brain injury in 9, respiratory distress in 4, and hypovolemic shock in 2 patients. Emergently transfused and mechanically ventilated patients had higher mortality rates than other patients. Patients required emergency operation and patients with multiple thoracic injuries had higher mortality rates. Conclusion: In this study, patients with combined injury, emergency transfusion, mechanical ventilation, emergency operation, multiple injuries in chest X-ray had higher mortality rates. Therefore in these pediatric blunt thoracic trauma patients, accurate initial diagnosis and proper management is required.

• Korean Journal of Radiology
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• v.23 no.9
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• pp.854-865
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• 2022

Photon-counting detector (PCD) CT is a new CT technology utilizing a direct conversion X-ray detector, where incident X-ray photon energies are directly recorded as electronical signals. The design of the photon-counting detector itself facilitates improvements in spatial resolution (via smaller detector pixel design) and iodine signal (via count weighting) while still permitting multi-energy imaging. PCD-CT can eliminate electronic noise and reduce artifacts due to the use of energy thresholds. Improved dose efficiency is important for low dose CT and pediatric imaging. The ultra-high spatial resolution of PCD-CT design permits lower dose scanning for all body regions and is particularly helpful in identifying important imaging findings in thoracic and musculoskeletal CT. Improved iodine signal may be helpful for low contrast tasks in abdominal imaging. Virtual monoenergetic images and material classification will assist with numerous diagnostic tasks in abdominal, musculoskeletal, and cardiovascular imaging. Dual-source PCD-CT permits multi-energy CT images of the heart and coronary arteries at high temporal resolution. In this special review article, we review the clinical benefits of this technology across a wide variety of radiological subspecialties.

• Journal of Chest Surgery
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• v.51 no.1
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• pp.72-75
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• 2018

Pericardial cysts are rare benign anomalies generally discovered as incidental findings on radiographic images. Rarely, pericardial cysts cause symptoms and may lead to complications. A 56-year-old woman presented to the emergency department for mild chest pain. A cardiovascular and respiratory examination revealed no abnormalities, while a chest X-ray and subsequent thoracic computed tomography (CT) showed a pericardial cyst. The patient refused both percutaneous treatment and thoracic surgery. Three years later, a thoracic CT scan showed that the pericardial cyst had disappeared. Although the spontaneous resolution of these lesions is rare, this article highlights the possibility of conservative management in select cases.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.705-707
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• 2022

인체의 흉부 X-ray 영상으로부터 척추질환과 관련된 의료 진단지표를 자동으로 추출하는 과정을 위하여 흉추조직의 정확한 분할이 필요하다. 본 연구에서는 HRNet 기반의 학습을 통하여 흉추조직을 분할하는 방법을 고찰한다. 분할 과정에서 영상 내의 상대적인 위치 정보가 효과적으로 반영될 수 있도록, 계층별로 영상의 고해상도의 표현이 그대로 유지되는 구조와 저해상도의 특징 지도로 변환되는 구조가 병렬적으로 연결되는 형태의 심층 신경망 모델을 채택하였다. 흉부 X-ray 영상에서 콥각도(Cobb's angle)를 산출하는 문제를 대상으로 흉추 분할을 위한 학습 방법, 진단지표 추출 방법 등을 소개하며, 부수적으로 피사체의 위치 변화 및 크기 변화 등에 강인한 성능을 제공하기 위하여 학습 데이터를 증강하는 방법론을 제시하였다. 총 145개의 영상을 사용한 실험을 통하여 제안된 이론의 타당성을 평가하였다.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.18 no.2
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• pp.1-8
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• 2023

Objectives This study aimed to propose biomarkers for diagnosing Chuna manual therapy (CMT) based on X-ray images in the thoracic and lumbar spines. Methods Through a literature review and expert consensus process, diagnostic biomarkers for CMT were selected based on the listing system in thoracic and lumbar radiograph anterior-posterior (AP) and lateral views. Results 1. Diagnostic biomarkers were derived from four points on the outer contour of the vertebral body in the thoracic and lumbar spine radiograph lateral view, enabling the diagnosis of flexion and extension malposition. 2. Additional diagnostic biomarkers were identified in the thoracic and lumbar radiographAP view, utilizing points on the outer contour of the vertebral body. These biomarkers facilitate the diagnosis of lateral bending. Moreover, biomarkers derived from the innermost point of the pedicle contour allow for the diagnosis of rotation malposition. 3. Furthermore, through the biomarkers proposed in this study, all malpositions of the thoracolumbar spines and complex Type I and II malpositions can be diagnosed in CMT. Conclusions The biomarkers reported in this study consist of minimal points to determine the position of the vertebral body, providing the advantage of simplicity while minimizing potential errors during the CMT diagnostic process. Further clinical research and the development of related programs should be pursued to expand the evidence for CMT.

• Journal of Chest Surgery
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• v.54 no.6
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• pp.532-534
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• 2021

This study examined a rarely seen benign heart tumor that was found incidentally on a chest X-ray. Radiological images were taken of a 42-year-old patient with no symptoms of a heart condition, showing a thick-walled left lung cavity that appeared after prior inflammation and concomitant enlargement of the cardiac shadow. A large subepicardial lipoma in combination with a chronic abscess on the left lung was revealed on chest computed tomography. The treatment consisted of simultaneous surgical removal of both the lung and heart lesions using video-assisted thoracoscopic surgery.