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RISS 인기검색어
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- 저자 : Soome Lim (검색결과 4 건)
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조성호(Sungho Cho),김소영(Soyeong Kim),안소현(Sohyun An),임수미(Soomee Lim),이레나(Rena Lee) 한국방사선학회 2012 한국방사선학회 논문지 Vol.6 No.1
기존 구내 치근단 촬영용 장치는 환자 피폭선량, 촬영시 고통 등의 문제점을 지니고 있다. 본 연구에서는 이러한 문 제점을 해결하기 위한 신개념의 삽입형 초소형 X선 시스템의 가능성을 검증하였다. 먼저 초소형 X선 튜브에 사용될 콜리메이터와 필터를 설계하기 위하여 Geant4를 이용하여 최적의 콜리메이터 두께와 필터 두께를 결정하였으며 CdTe 검출기와 PX4 모듈을 이용하여 결정된 두께에서의 X선 스펙트럼을 확인하였다. 또한 기존 상용화된 치근단 촬영장치와 XOFT사의 초소형 X선 튜브를 이용하여 제작된 치아 팬텀에 대한 영상을 획득하였다. 그 결과 제안된 신개념의 삽입형 초소형 X선 시스템은 기존 시스템과 유사한 영상의 질을 나타내었다. 이는 향후 치근단 촬영용 장치를 비롯하여 다양한 응용부위에 활용할 수 있음을 나타낸다. Conventional periphery radiography system has a various problem such as patient dose and the pain of X-ray examination. In this paper, to solve these problems, we suggested insertional miniature x-ray system and we verified the feasibility of this system. First, we performed the Geant4 x-ray simulation to design x-ray collimator and filter to use miniature x-ray tube and we decided optimized thickness of filter and collimator. Also, we measured x-ray spectrum using CdTe detector and PX4 module to verify simulation results. Also, we acquired teeth image of fabricated phantom using conventional dental x-ray and prosed miniature x-ray system. As a results, our system has good image quality as compared to those of conventional systems. Our evaluation of the proposed system indicates that it can be potentially very useful for dental imaging.
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A Magnetic Resonance-based Seed Localization Method for I-125Prostate Implants
HyunSuk Suh,Rena J. Lee,Kyung-Ja Lee,Soome Lim,Yookyung Kim,김성규,Jinho Choi 대한의학회 2007 Journal of Korean medical science Vol.22 No.S
This study was performed to develop and evaluate a semi-automatic seed localization algorithm from magnetic resonance (MR) images for interstitial prostate brachytherapy. The computerized tomography (CT) and MR images (3 mm-slice thickness) of six patients who had received real-time MR imaging-guided interstitial prostate brachytherapy were obtained. An automatic seed localization method was performed on CT images to obtain seed coordinates, and an algorithm for seed localization from MR images of the prostate was developed and tested. The resultant seed distributions from MR images were then compared to CT-derived distribution by matching the same seeds and calculating percent volume receiving 100% of the prescribed dose and the extent of the volume in 3-dimensions. The semiautomatic seed localization method made it possible to extract more than 90% of the seeds with either less than 8% of noises or 3% of missing seeds. The mean volume difference obtained from CT and MR receiving 100% of the prescribed dose was less than 3%. The maximum extent of the volume receiving the prescribed dose were 0.3, 0.6, and 0.2 cm in x, y, and z directions, respectively. These results indicate that the algorithm is very useful in identifying seeds from MR image for post-implant dosimety.
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A Magnetic Resonance-based Seed Localization Method for I-125 Prostate Implants
Lee, Rena J.,Suh, HyunSuk,Lee, Kyung-Ja,Lim, Soome,Kim, Yookyung,Kim, Sungkyu,Choi, Jinho KOREAN ACADEMY OF MEDICAL SCIENCE 2007 JOURNAL OF KOREAN MEDICAL SCIENCE Vol.22//SUP No.-
<P>This study was performed to develop and evaluate a semi-automatic seed localization algorithm from magnetic resonance (MR) images for interstitial prostate brachytherapy. The computerized tomography (CT) and MR images (3 mm-slice thickness) of six patients who had received real-time MR imaging-guided interstitial prostate brachytherapy were obtained. An automatic seed localization method was performed on CT images to obtain seed coordinates, and an algorithm for seed localization from MR images of the prostate was developed and tested. The resultant seed distributions from MR images were then compared to CT-derived distribution by matching the same seeds and calculating percent volume receiving 100% of the prescribed dose and the extent of the volume in 3-dimensions. The semiautomatic seed localization method made it possible to extract more than 90% of the seeds with either less than 8% of noises or 3% of missing seeds. The mean volume difference obtained from CT and MR receiving 100% of the prescribed dose was less than 3%. The maximum extent of the volume receiving the prescribed dose were 0.3, 0.6, and 0.2 cm in x, y, and z directions, respectively. These results indicate that the algorithm is very useful in identifying seeds from MR image for post-implant dosimety.</P>
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