• Journal of radiological science and technology
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• v.32 no.2
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• pp.195-203
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• 2009

Image registration is a fundamental task in image processing used to match two or more images. It gives new information to the radiologists by matching images from different modalities. The objective of this study is to develop 2D image registration algorithm for PET/CT and CT images acquired by different systems at different times. We matched two CT images first (one from standalone CT and the other from PET/CT) that contain affluent anatomical information. Then, we geometrically transformed PET image according to the results of transformation parameters calculated by the previous step. We have used Affine transform to match the target and reference images. For the similarity measure, mutual information was explored. Use of particle swarm algorithm optimized the performance by finding the best matched parameter set within a reasonable amount of time. The results show good agreements of the images between PET/CT and CT. We expect the proposed algorithm can be used not only for PET/CT and CT image registration but also for different multi-modality imaging systems such as SPECT/CT, MRI/PET and so on.

• Journal of radiological science and technology
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• v.27 no.2
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• pp.21-27
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• 2004

This study was conducted to estimate absorbed radiation doses associated with CT examinations. We compared CT dose index between single detector CT and multi detector CT. To establish radiation dose criteria in CT examination in Korea, we measured radiation dose for CT examinations in Seoul and kyungki-do. The results obtained were as follows ; 1. Averaged CTDIW value per 100 mAs was $13.5{\pm}3.2\;mGy$, and ranged from 8.1 mGy to 19.1 mGy in head phantom, was $7.1{\pm}2.0\;mGy$, and ranged from 3.7 mGy to 10.9 mGy in body phantom. 2. CTDIW was 3.2 mGy(1.26 times) larger in multi detector CT than single detector CT in head phantom, and 2.1 mGy(1.34 times) larger in body phantom. 3. The dose was the highest in 4 channel multi detector CT, and followed 8 channel multi detector CT, 16 channel multi detector CT and single detector CT in head phantom. And the dose was the highest in 4 channel and 8 channel multi detector CT, and followed 16 channel multi detector CT and single detector CT in body phantom.

• Electronics and Telecommunications Trends
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• v.9 no.4
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• pp.75-82
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• 1994

언제, 어디서나, 누구와도' 통신이 가능하게 한다는 궁극적인 목표를 가지고 통신의 개인화가 연구되고 있으며, 통신 선진국에서는 PCS를 실현하기 위한 PSTN(Public Switching Telephone Network) 접근 방법의 초기 단계로 CT2 (Cordless Telephone 2)의 개발과 시험망 운영을 하고 있거나 이미 서비스를 상용화하고 있다. CT2는 1989년 영국에서 제안되었고 1992년 유럽 표준 (I-ETS 300-131)으로 채택된 후 유럽 각국과 홍콩이나 싱가포르 같은 도시 국가에서 활성화 되어 많은 가입자들이 이용하고 있다. CT2 이용자는 도로, 지하철 혹은 공공 장소에서는 PSTN에 연결된 CT2 기지국에 접속되어 발신 위주의 휴대 전화 서비스를 받을 수 있으며, 가정에서는 우리가 현재 사용하고 있는 무선 전화기와 동일하게 사용할 수 있는 소출력 휴대 전화 서비스로 단말기의 이동성이 어느 정도 실현된 서비스이다. 국내 CT2 사업자는 1993년 12월 체신부로 부터 시범 사업 계획의 승인을 얻어 주파수 대역 910-914 MHz에서 1995년 서울 지역에 서비스 상용화를 목표로 여의도에 시험망 운용과 함께 연구되고 있다. 본 고에서는 CT2 서비스의 일반적인 개요와 특성 그리고 제외국의 CT2 동향을 고찰해봄으로써, CT2는 어떤 서비스이며 CT2의 기술 기준 마련과 무선 인터페이스 측정 및 분석 방법을 연구하는 데 기초로 삼고자 한다.

• The Science & Technology
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• v.30 no.3 s.334
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• pp.88-89
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• 1997

(주)유양정보통신은 지난 1년9개월동안 총 25억의 연구개발비와 27명의 개발인력을 투입하여 광역삐삐 내장형 시티폰(CT-2플러스)을 개발해 유망한 정보통신업체로 각광을 받고 있다. 작년 9월 시험통화를 거쳐 12월부터 시판된 CT-2 플러스는 현재 1만대 정도 보급되어 있으며 호출기 기능이 내장되지 않더라도 서비스가 가능한 새제품 CT-3 개발에도 박차를 가하고 있다.

• Journal of Technology Innovation
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• v.19 no.2
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• pp.53-76
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• 2011

This study analysed empirically the relationship between the CT R&D subsidy program and R&D performance of received company. According to the result, the CT R&D subsidy program is a significant factor to encourage R&D performance. Especially, the CT R&D subsidy program based on validity and reasonable system affects significantly the progress of R&D performance. Otherwise, the reasonable CT R&D subsidy program has a important role to play on company growing from a step of R&D to a step of the commercialisation performance. Thus, government should make an effort on researching data on market demand before implementing policy and communicating with company continually.

• Journal of radiological science and technology
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• v.41 no.2
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• pp.103-107
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• 2018

In MR, the iodine CT contrast medium reduces the T1 and T2 relaxation times of the substance, resulting in a change in signal intensity. This study aimed to measure the relaxation rate of MR contrast medium with or without diluting CT contrast medium and analyzed the effect of CT contrast medium. Undiluted Gadoteridol solution was diluted with saline to prepare MR contrast medium phantoms with various levels of Gadoteridol concentrations. Moreover, undiluted Iomeprol was mixed with the prepared MR contrast medium phantoms at 1:1 ratio to make MR contrast medium phantoms with containing CT contrast medium for the experiment. T1 and T2 mappings were conducted to quantitatively evaluate the relaxation time and relaxation rate of these phantoms. The results showed that the T1 and T2 relaxation time and relaxation rate of MR contrast medium diluted with CT contrast medium were significantly (p<0.05) shorter than those of MR contrast medium not diluted with CT contrast medium. The results of this study imply that, when MR contrast medium shall be used after injecting CT contrast medium, CT contrast medium should be discharged enough. Moreover, it would be desirable to conduct CT test after taking MRI test in order to reduce the effects of CT contrast medium on MR contrast medium.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.05a
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• pp.163-168
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• 1998

CT-2는 기존의 셀룰라폰이 셀단위의 영역에서 이동통신을 행하는 것과 동일한 개념의 보행자 중심의 소형경량의 개인 휴대용 이동통신장치이다. 본 연구에서는 이러한 CT-2 시스템의 부가서비스 연구를 위해 이와 직접적으로 연관이 있는 무선호출의 발전 방향을 고찰하고 이에 따른 CT-2 부가서비스를 위한 진화 방향에 대해서 연구한 결과를 기술한다.

• Journal of radiological science and technology
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• v.17 no.2
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• pp.69-89
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• 1994

• Journal of radiological science and technology
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• v.18 no.2
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• pp.3-14
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• 1995

• Journal of the Korean Society of Radiology
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• v.18 no.1
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• pp.37-44
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• 2024

Even though MR can reveal excellent soft-tissue contrast and functional information, CT is also required for electron density information for accurate dose calculation in Radiotherapy. For the fusion of MRI and CT images in RT treatment planning workflow, patients are normally scanned on both MRI and CT imaging modalities. Recently deep-learning-based generations of CT images from MR images became possible owing to machine learning technology. This eliminated CT scanning work. This study implemented a CycleGan deep-learning-based CT image generation from MR images. Three CT generators whose learning is based on T1- , T2- , or T1-&T2-weighted MR images were created, respectively. We found that the T1-weighted MR image-based generator can generate better than other CT generators when T1-weighted MR images are input. In contrast, a T2-weighted MR image-based generator can generate better than other CT generators do when T2-weighted MR images are input. The results say that the CT generator from MR images is just outside the practical clinics and the specific weight MR image-based machine-learning generator can generate better CT images than other sequence MR image-based generators do.