• Imaging Science in Dentistry
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• 제51권3호
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• pp.337-339
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• 2021

• 대한방사선기술학회지:방사선기술과학
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• 제10권1호
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• pp.91-104
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• 1987

Computerization for the work of diagnostic radiology department is needed to manage the department efficiently, to deal with the information increasing gradually, and to provide qualified care for patients. There is few computerized management system for diagnostic radiology department in our country. Foreign systems were developed commercially and academically, but almost failed to meet the needs of demands. So in this paper, to help the exploitation of soft ware suitable for the information system of diagnostic radiology department of our country; 1) foreign systems were introduced. 2) Data flow of diagnositc radiology department was analysised by SSA method. 3) Composition of computer system centered on the functions of terminals was presented.

• Imaging Science in Dentistry
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• 제35권4호
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• pp.185-190
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• 2005

Purpose: Once the decision has been made to adopt an integrated medical information system (IMIS), there are a number of issues to overcome. Users need to be aware of the impact the change will make on end users and be prepared to address issues that arise before they become problems. The purpose of this study is to investigate the benefits and unexpected problems encountered in the implementation of IMIS and to determine a useful framework for IMIS. Materials and Methods: The Yonsei University Dental Hospital is steadily constructing an IMIS. The vendor's PACS software, Piview STAR, supports transactions between workstations that are approved to integrating the healthcare enterprise (IHE) with security function. It is necessary to develop an excellent framework that is good for the patient, healthcare provider and information system vendors, in an expert, efficient, and cost-effective manner. Results : The problems encountered with IMIS implementation were high initial investments, delay of EMR enforcement, underdevelopment of digital radiographic appliances and software and insufficient educational training for users. Conclusions: The clinical environments of dental IMIS is some different from the medical situation. The best way to overcome these differences is to establish a gold standard of dental IMIS integration, which estimates the cost payback. The IHE and its technical framework are good for the patient, the health care provider and all information systems vendors.

• 한국의료질향상학회지
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• 제9권1호
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• pp.90-100
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• 2002

Background : This study was attempted to provide us with basic data on how to environmental improvement with patients for examination, and to offer them better treatment. This study was performed to compare the patients, perception between before and after improvement in the diagnostic radiography room. Methods : The data was collected by interviewing 75 patients who underwent the radiography under the diagnostic radiology at Seoul National University Hospital in Korea. The interview ran from August 9 to October 18, 1999. Data were analyzed by percentage and paired t-test. SD(Semantic Differential) method was composed of adjective 13 words. Results : Patients were attending the elementary schools in the Seoul residents. There was no significant difference in kindness unkindness dimension and were significant differences in other dimensions. The mean score of response level to present room was 3.67 and that of improvement room was 2.16. Conclusions : The results of this study suggest a radiography room plan which is considering emotional aspect of children.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.16-37
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• 2022

Accurate liver segment segmentation based on radiological images is indispensable for the preoperative analysis of liver tumor resection surgery. However, most of the existing segmentation methods are not feasible to be used directly for this task due to the challenge of exact edge prediction with some tiny and slender vessels as its clinical segmentation criterion. To address this problem, we propose a novel deep learning based segmentation model, called Boundary-Aware Dual Attention Liver Segment Segmentation Model (BADA). This model can improve the segmentation accuracy of liver segments with enhancing the edges including the vessels serving as segment boundaries. In our model, the dual gated attention is proposed, which composes of a spatial attention module and a semantic attention module. The spatial attention module enhances the weights of key edge regions by concerning about the salient intensity changes, while the semantic attention amplifies the contribution of filters that can extract more discriminative feature information by weighting the significant convolution channels. Simultaneously, we build a dataset of liver segments including 59 clinic cases with dynamically contrast enhanced MRI(Magnetic Resonance Imaging) of portal vein stage, which annotated by several professional radiologists. Comparing with several state-of-the-art methods and baseline segmentation methods, we achieve the best results on this clinic liver segment segmentation dataset, where Mean Dice, Mean Sensitivity and Mean Positive Predicted Value reach 89.01%, 87.71% and 90.67%, respectively.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2768-2787
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• 2023

As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.

• 대한방사선기술학회지:방사선기술과학
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• 제25권1호
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• pp.35-37
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• 2002

To assess the new multichannel cochlear implant by radiography in Stenver's projection, because MRI generates artifacts, inducing an electrical current and causing device magnetization. CT is relatively expensive and the metal electrodes scatter the image. Multichannel cochlear implant insertion using the multichannel cochlear implant device. Patients underwent postoperative radiography of their implants. The radiographs were obtained in a Stenver's. The insertion depth of the implant was measured on the radiographs and the results were correlated with the surgical results of insertion depth and with audiometric tests. Patients a correct inserted electrode was found, while in patient complications concerning the electrode were noticed. Radiographs in the Stenver's projection are sufficient for the postoperative assessment of the multichannel cochlear implant device and an exact evaluation of the insertion depth.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.576-590
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• 2023

Machine learning is widely used in various academic fields, and recently it has been actively applied in the medical research. In the medical field, machine learning is used in a variety of ways, such as speeding up diagnosis, discovering new biomarkers, or discovering latent traits of a disease. In the respiratory field, a relative regional air volume change (RRAVC) map based on quantitative inspiratory and expiratory computed tomography (CT) imaging can be used as a useful functional imaging biomarker for characterizing regional ventilation. In this study, we seek to predict RRAVC using various regular machine learning models such as extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and multi-layer perceptron (MLP). We experimentally show that MLP performs best, followed by XGBoost. We also propose several relative coordinate systems to minimize intersubjective variability. We confirm a significant experimental performance improvement when we apply a subject's relative proportion coordinates over conventional absolute coordinates.

• 대한영상의학회지
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• 제79권5호
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• pp.247-253
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• 2018

이 연구의 목적은 영상정보교류의 효용성을 높이기 위한 영상 품질 기준 연구에서 영상정보교류의 실태를 파악하고 영상정보교류에 대한 의사들의 의견을 수렴하기 위해 시행한 설문조사의 결과를 정리하는 것이다. 설문조사는 개별 접촉 또는 소셜 네트워크 서비스를 통해 홍보하였고, 자발적으로 참여한 의사가 설문조사의 대상이다. 설문조사는 기본 정보 및 영상정보교류에 대한 11개의 문항으로 구성되었다. 총 30개 진료과의 전문의 160명이 설문조사에 참여하였고, 95.6%의 응답자가 상급종합병원 또는 종합병원에 근무하는 상태였다. 외부 병원에서 영상검사를 시행한 후 의뢰되는 환자가 빈번하였다. 하지만 판독소견서가 함께 교류되는 경우는 드물었고, 의뢰받은 의료기관의 영상의학과 전문의에 의한 재판독을 통해 이차적인 의견을 구하고자 하는 요구가 많았다. 결론적으로, 외부 판독소견서가 누락되는 경우가 많으므로 판독소견서가 영상정보와 함께 교류될 수 있도록 하는 방안의 마련이 필요하다. 또한 외부 판독이 있더라도 재판독이 필요하다는 의견이 많은 점을 고려할 때 판독소견서에 반드시 포함되어야 할 기본적인 판독소견서의 요소 및 외부 검사의 재판독에 대한 가이드라인이 필요할 것으로 생각된다.

• 대한방사선기술학회지:방사선기술과학
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• 제32권2호
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• pp.195-203
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• 2009

영상정합 기술은 두 개 이상의 영상을 서로 맞추어, 각각의 영상이 가지고 있는 단점을 보완하여, 새로운 정보를 획득하게 하는 기술이다. 본 논문은 의료 영상간의 2D 영상 정합을 통해 환자의 점진적 병세파악에 도움을 주는 것을 목적으로 하고 있다. 서로 다른 시점과 장비로부터 얻어진 CT와 PET/CT영상을 정합하기 위하여 정확한 해부학적 정보를 제공하는 CT영상간의 정합을 먼저 수행하고 이를 통하여 얻어진 기하학적 정합파라미터들을 PET 영상에 적용하여, 독립 CT영상 위에 PET영상을 중첩하였다. 정합작업을 위해 먼저 각각의 CT영상에 대해 전처리 작업을 실시하였고, 영상의 변형은 affine 좌표변환을 이용하였다. 정합할 영상간의 유사도 평가를 위해 mutual information을 이용하였으며, 빠르고 정확한 정합을 위하여 최적화 알고 리듬인 particle swarm optimization 방법을 이용하였다. 이를 통해 실제 환자의 독립 CT와 PET/CT영상을 이용하여 실험하였고, PET/CT의 영상에서 확인할 수 있었던 병소에 대한 해부학적 위치 정보가 영상정합 과정을 통해 독립 CT 영상에서도 동일한 위치에 표시됨을 확인하였다. 제안된 알고리듬은 PET/CT 뿐만 아니라 향후 도입될 SPECT/CT, MRI/PET 등 다중영상기기와 기존의 독립 CT 영상기기와의 정합에도 폭넓게 사용될 것으로 기대된다.