• Journal of radiological science and technology
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• v.39 no.1
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• pp.13-17
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• 2016

In this study, standard model of medical radiation dosage quality control system will be suggested and the useful of this system in clinical field will be reviewed. Radiation dosage information of modalities are gathered from digital imaging and communications in medicine(DICOM) standard data(such as DICOM dose SR and DICOM header) and stored in database. One CT scan, two digital radiography modalities and two mammography modalities in one health promotion center in Seoul are used to derive clinical data for one month. After 1 months research with 703 CT scans, the study shows CT $357.9mGy{\cdot}cm$ in abdomen and pelvic CT, $572.4mGy{\cdot}cm$ in brain without CT, $55.9mGy{\cdot}cm$ in calcium score/heart CT, screening CT at $54mGy{\cdot}cm$ in chest screening CT(low dose screening CT scan), $284.99mGy{\cdot}cm$ in C-spine CT and $341.85mGy{\cdot}cm$ in L-spine CT as health promotion center reference level of each exam. And with 1955 digital radiography cases, it shows $274.0mGy{\cdot}cm2$ and for mammography 6.09 mGy is shown based on 536 cases. The use of medical radiation shall comply with the principles of justification and optimization. This quality management of medical radiation exposure must be performed in order to follow the principle. And the procedure to reduce the radiation exposure of patients and staff can be achieved through this. The results of this study can be applied as a useful tool to perform the quality control of medical radiation exposure.

• Journal of the Korean Society of Radiology
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• v.14 no.3
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• pp.221-233
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• 2020

CT(computed tomography, CT) examinations is one of the most useful diagnostic equipment for identifying information in the human body in diagnostic radiology. Recently, the number of CT scans is increasing every year due to the high reliability of CT scans. Increasing the number of tests will accelerate the aging of CT devices, which is why the importance of quality management for CT devices is on the rise. Particularly in CT, quality management refers to a behavior of figuring out and correcting all sorts of hindrance factors that can cause all the problems related to the equipment associated with the diminishment of diagnosed area due to the reduction of image quality in clinical imaging in advance and maintaining a consistent level of image quality and obtaining a proper image. Here, these researchers aim to summarize and report the general contents of quality management in CT.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.150-158
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• 2021

Intracranial hemorrhage (ICH) refers to acute bleeding inside the intracranial vault. Not only does this devastating disease record a very high mortality rate, but it can also cause serious chronic impairment of sensory, motor, and cognitive functions. Therefore, a prompt and professional diagnosis of the disease is highly critical. Noninvasive brain imaging data are essential for clinicians to efficiently diagnose the locus of brain lesion, volume of bleeding, and subsequent cortical damage, and to take clinical interventions. In particular, computed tomography (CT) images are used most often for the diagnosis of ICH. In order to diagnose ICH through CT images, not only medical specialists with a sufficient number of diagnosis experiences are required, but even when this condition is met, there are many cases where bleeding cannot be successfully detected due to factors such as low signal ratio and artifacts of the image itself. In addition, discrepancies between interpretations or even misinterpretations might exist causing critical clinical consequences. To resolve these clinical problems, we developed a diagnostic model predicting intracranial bleeding and its subtypes (intraparenchymal, intraventricular, subarachnoid, subdural, and epidural) by applying deep learning algorithms to CT images. We also constructed a visualization tool highlighting important regions in a CT image for predicting ICH. Specifically, 1) 27,758 CT brain images from RSNA were pre-processed to minimize the computational load. 2) Three different CNN-based models (ResNet, EfficientNet-B2, and EfficientNet-B7) were trained based on a training image data set. 3) Diagnosis performance of each of the three models was evaluated based on an independent test image data set: As a result of the model comparison, EfficientNet-B7's performance (classification accuracy = 91%) was a way greater than the other models. 4) Finally, based on the result of EfficientNet-B7, we visualized the lesions of internal bleeding using the Grad-CAM. Our research suggests that artificial intelligence-based diagnostic systems can help diagnose and treat brain diseases resolving various problems in clinical situations.

• Journal of Trauma and Injury
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• v.28 no.3
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• pp.195-197
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• 2015

Artifacts can seriously degrade the quality of computed tomography (CT) images, sometimes to the point of making them diagnostically unusable. Here, we report an unusual CT artifact that could have resulted in the misdiagnosis of a hyperdense hemorrhagic lesion in a 55-year-old man. The author recommend that when hemorrhagic lesion in posterior fossa is suggested on CT, the physician should carefully consider all patient-related clinical data prior to considering surgical intervention or a biopsy. Cranial magnetic resonance imaging (MRI) can help in preventing the misdiagnosis as hemorrhage of CT scan.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.52 no.8
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• pp.500-505
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• 2003

In this paper, the method to register multiple sets of skull CT images to absolute coordinate system is proposed. Contrary to correspondence paired mapping of previous techniques, four anatomical landmark points, three coplanar points and one non-coplanar point, compose three principal axes simple and unique for efficient registration by means of rigid body transformation. Throughout the numerical simulation with added random noises, the error performances in terms of different rotation and rounding-off of landmark points, and incorrect localization of anatomical landmark and target points are quantitatively analyzed to generalize the proposed technique. Experiments using real skull CT images demonstrate the feasibility for an efficient use in clinical practice.

• Journal of Yeungnam Medical Science
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• v.3 no.1
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• pp.67-72
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• 1986

Authors evaluated the accuracy of preoperative pelvic CT scan staging and its effects on management in 12 biopsy proved rectal cancer patients. Authors also studied postoperative CT in 5 patients to detect disease recurrence and metastasis. Preoperative CT staging was identical to surgical and/or pathological staging in 9 patients(75%), but it was underestimated in two cases and overstimated in one instance than in surgical stagings. In 7 cases, CT scan didnot alter original choice of procedures. However, preoperative CT staging gave definitive informations to change management plans in 5 cases otherwise the treatment would be difficult and inadequate. Postoperative CT showed local recurrence in one and liver metastases in 2 cases. One of them was not detected at exploratory laparotomy.

• Journal of the Korean Society of Radiology
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• v.12 no.6
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• pp.707-712
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• 2018

The number of CT examinations is increasing, and radiation exposure is also increasing. repeated tests can affect the lens and thyroid. In hospitals, there is a tendency to lack interest in major long-term radiation exposure compared to the interest in increasing image information and image quality with head CT. In this study, we analyzed the improvement of image quality by proposed method to the noisy CT images. The proposed denoising method total variance optimization only for the impulsive noise candidate pixels. Experimental results show that edge information is well preserved and impulse noise can be effectively removed. and worked very well for the images according to tube voltage and rotation time. applied to the clinical setting, it can be used as the lowest exposure condition without worrying about the image quality and it will be helpful for the CT application.

• Archives of Plastic Surgery
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• v.38 no.6
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• pp.719-724
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• 2011

Purpose: Previous studies of the facial artery have shown significant anatomical variability in this region. The vascular anatomy of the region is considered unreliable in predicting the ideal pedicle. Preoperative imaging has been suggested as a means of improving preoperative awareness, with Doppler ultrasound as useful tools. Multi-detector row angiographic computed tomography (angio CT) is a significant improvement, providing noninvasive operator-independent details of the vascular anatomy. This tool was used to perform an $in$ $vivo$ anatomical study of the facial artery, demonstrating the usefulness of facial angio CT in planning the facial reconstruction. Methods: Eleven consecutive patients underwent facial angio CT of the facial vasculature with the anatomical details of the facial artery assessed. Results: Facial angio CT could demonstrate the size and course of the facial vasculature, particularly the facial artery. Conclusion: The vascular anatomy of the facial artery is highly variable, and thus there is a role for preoperative imaging. Facial angio CT can demonstrate cases where there is an aberrant or non-preferred anatomy, or select the method of a facial reconstruction.

• The Journal of Korean Medicine
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• v.27 no.1 s.65
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• pp.1-10
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• 2006

Objectives : The combined treatment (CT) with oriental herbal medicine and western biomedical medicine is prevalent in the world including Korea. But the clinical information on frequency, efficacy and safety of CT at lout cerebrovascular attack hat not known thoroughly yet. This study aimed to identify the status and adverse effects of CT for the treatment of stroke patients. Methods : A self-completed questionnaire survey and medical record survey by oriental medical doctors were performed in 20 Korean Oriental medical hospitals. Of the initial 1,000 in-patients through 2-stage sampling method, 883 were participated in this surrey, resulting in a response rate of 88.3%. Results : Among stroke patients, the proportion of CT was 94.1%. 156 respondents (18.8%): were experienced several adverse effects including headache, dizziness (fatigue), diarrhea, constipation, chest discomfort, etc. The severity of these adverse effects was generally mild to moderate. Although they quitted the CT, 9.8% of patients were not relieved from adverse effects. Conclusions : This study suggests that most patients in Korean Oriental medical hospitals used the combined treatment with oriental herbal medicine and western biomedical medicine for management of stroke. Therefore, the medical professionals should provide comprehensive and up-to-date clinical information about potential benefits and risks of CT to the stroke patients.

• Tuberculosis and Respiratory Diseases
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• v.69 no.2
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• pp.103-107
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• 2010

Background: The aim of the present study was to evaluate whether findings on initial chest computed tomography (CT) of influenza pneumonia can help predict clinical outcome. Methods: We reviewed all adult patients admitted to the Emergency Department (ED) with a confirmed diagnosis of novel influenza A H1N1 virus (2009 H1N1) pneumonia, who underwent chest CT upon admission between Aug 26, 2009 and Jan 31, 2010. Radiologic findings were characterized by type and pattern of opacities and zonal distribution. Clinical outcome measures were intensive care unit (ICU) admission, mechanical ventilation, and inhospital death. Results: Of 59 patients diagnosed with 2009 H1N1 pneumonia, 41 (69.5%) underwent chest CT on admission into ED. Nine (22%) of these patients developed adverse clinical outcomes requiring the following treatments: 9 (22.0%) ICU admissions, 5 (12.2%) mechanical ventilation, and 3 (7.3%) inhospital deaths. Counting the number of patients with more than 4 involved lobes, the sensitivity, specificity, positive predictive value, and negative predictive value for detection of adverse clinical outcome were 67%, 84%, 55% and 80%, respectively. Conclusion: Extensive involvement of both lungs (over 4 lobes) is related to ICU admission, mechanical ventilation, and inhospital death. Initial chest CT may help predict an adverse clinical outcome of patients with 2009 H1N1 influenza pneumonia.