• Title/Summary/Keyword: MDCT coefficient

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Estimation and Application of HU Values for Various Materials as a Function of Physical Factor (물리적 인자의 변화에 따른 다양한 구성물질의 하운스필드 단위 평가 및 응용)

  • Lee, Seung-Wan;Kim, Hee-Joung;Kim, Tae-Ho;Jo, So-Jeong;Lee, Chang-Lae
    • Progress in Medical Physics
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    • v.20 no.3
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    • pp.145-151
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    • 2009
  • This study aims to evaluate CT (Computed Tomography) characteristics through the estimation of HU (Hounsfield Unit) and the corresponding variations using coefficient of variation values for various materials as a function of physical factor. HU values for various materials with varying densities as a function of physical factor were measured using MDCT (Siemens SOMATOM Sensation 4, Germany). The results showed that the HU values were decreased and increased as a function of kVp and material density, respectively. Especially, the HU values for bone and iodine at 140 kVp were 32% and 42% smaller than those at 80 kVp, respectively. In case of iodine, the HU values also decreased and increased as a function of kVp and concentration, respectively. While the HU values were fixed as a function of mAs. The decreased ratio of HU values between 80 keV and 140 keV was different at various concentration and maximum difference was shown as 1.73 at 3% concentration. These results indicated that it may be possible to separate composition of materials, e.g. iodine and bone, using single source CT. The results showed that dual energy techniques using single source CT can be applied to material separation and expand CT imaging techniques to other practical applications.

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Case Study of Quality Assurance for MDCT Image Quality Evaluation Using AAPM CT Performance Phantom (AAPM CT 성능 평가용 팬텀을 이용한 전산화단층촬영의 영상 평가를 위한 정도관리 사례 연구)

  • Jang, Keun-Jo;Kweon, Dae-Cheol
    • The Journal of the Korea Contents Association
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    • v.7 no.7
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    • pp.114-123
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    • 2007
  • The increasing use of computed tomography (CT) as a diagnostic tool creates the need from and efficient means of evaluating the performance of the CT scanner now in use. Accordingly, acceptance testing and quality assurance of CT is of great importance. The aim of this study is to analyze of AAPM CT performance phantom in the CT accreditation program. The modular phantom offers the CT system with which to measure eight performance parameters. The parameters are listed of CT attenuation coefficient of water, noise, uniformity, spatial resolution, contrast resolution, slice thickness (5 and 10 mm), artifacts and alignment. The phantom evaluation was done by two radiologists. The acceptance testing protocol described here in demonstrates the successful of the guidelines for the quality assurance using AAPM CT performance phantom. We need to be upgraded for the CT image quality and make the standard reference of the quality assurance in the CT.

Assessment of Two Clinical Prediction Models for a Pulmonary Embolism in Patients with a Suspected Pulmonary Embolism (폐색전증이 의심된 환자에서 두 가지 폐색전증 진단 예측 모형의 평가)

  • Park, Jae Seok;Choi, Won-Il;Min, Bo Ram;Park, Jie Hae;Chae, Jin Nyeong;Jeon, Young June;Yu, Ho Jung;Kim, Ji-Young;Kim, Gyoung-Ju;Ko, Sung-Min
    • Tuberculosis and Respiratory Diseases
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    • v.64 no.4
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    • pp.266-271
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    • 2008
  • Background: Estimation of the probability of a patient having an acute pulmonary embolism (PE) for patients with a suspected PE are well established in North America and Europe. However, an assessment of the prediction rules for a PE has not been clearly defined in Korea. The aim of this study is to assess the prediction rules for patients with a suspected PE in Korea. Methods: We performed a retrospective study of 210 inpatients or patients that visited the emergency ward with a suspected PE where computed tomography pulmonary angiography was performed at a single institution between January 2005 and March 2007. Simplified Wells rules and revised Geneva rules were used to estimate the clinical probability of a PE based on information from medical records. Results: Of the 210 patients with a suspected PE, 49 (19.5%) patients had an actual diagnosis of a PE. The proportion of patients classified by Wells rules and the Geneva rules had a low probability of 1% and 21%, an intermediate probability of 62.5% and 76.2%, and a high probability of 33.8% and 2.8%, respectively. The prevalence of PE patients with a low, intermediate and high probability categorized by the Wells rules and Geneva rules was 100% and 4.5% in the low range, 18.2% and 22.5% in the intermediate range, and 19.7% and 50% in the high range, respectively. Receiver operating characteristic curve analysis showed that the revised Geneva rules had a higher accuracy than the Wells rules in terms of detecting PE. Concordance between the two prediction rules was poor ($\kappa$ coefficient=0.06). Conclusion: In the present study, the two prediction rules had a different predictive accuracy for pulmonary embolisms. Applying the revised Geneva rules to inpatients and emergency ward patients suspected of having PE may allow a more effective diagnostic process than the use of the Wells rules.