• 핵의학기술
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• 제15권1호
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• pp.58-64
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• 2011

SPECT 영상에서의 resolution recovery를 기반으로 하는 3D 재구성 기법은 detector면으로부터 거리에 의한 공간적 blur를 보상하여 높은 spatial resolution과 contrast를 가지는 특징이 있다. 본 논문에서는 이러한 재구성 기법 중의 하나인 Philips사의 Astonish 프로그램을 phantom 실험을 통하여 기존의 재구성 기법과 비교, 평가하고 임상적 유용성을 높이고자 하였다. Skylight SPECT system (Philips)에서 NEMA IEC PET body phantom과 Flanges Jaszczak phantom (Data Spectrum corp.)을 이용하여 시간과 거리에 따른 4가지의 다른 입력 조건에서 실험을 실시하였다. 가까운 거리와 먼 거리 (짧은 거리보다 10 cm 더해진 거리)에서 각각 full time (40 kcts/frame)과 half time (full time의 절반)을 적용하여 영상을 얻고, iteration 수에 변화를 주어 MLEM, 3D-OSEM, Astonish로 영상을 재구성하였다. NEMA IEC PET body phantom의 각 sphere에서 background variability에 따른 contrast ratio의 변화양상을 확인하고 각 재구성 기법에서의 최적의 iteration 수를 찾아보았다. 이로부터 얻은 최적의 iteration 수를 Jaszczak phantom 영상의 재구성에 적용하여 비교해보고 실제 환자의 myocardial SPECT data에 대하여 육안적 평가를 실시하였다. 전반적인 contrast ratio는 Astonish가 MLEM과 3D-OSEM보다 높았다. 직경 37 mm의 가장 큰 hot sphere에서 짧은 거리에서는 Astonish가 MLEM과 3D-OSEM보다 각각 27.1%와 17.4%의 더 높은 contrast ratio를 보였고, 먼 거리에서는 40.5%와 32.6%로 더 높았다. 그러나 시간에 따른 변화의 차이는 크게 나타나지 않았다. 또한, 육안적 평가에서 Astonish가 다른 두 재구성 기법에 비하여 더 좋은 영상을 보였다. 이 실험에서는 정량적 분석 및 육안적 평가를 통하여 Astonish가 기존의 영상 재구성 기법인 MLEM과 3D-OSEM에 비하여 시간을 단축시켜 업무의 효율성을 높일 뿐만 아니라 질적으로도 우수한 영상을 구현하여 임상적으로 신뢰성이 높은 검사 결과를 제공할 수 있음을 확인하였다.

• 한국전자파학회논문지
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• 제23권1호
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• pp.101-107
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• 2012

MICS 및 ISM 대역의 무선기기 설계 시에 인체 팬텀을 이용한 성능검증이 필수적으로 요구되고 있으나, 인체팬텀에 관한 연구 대부분이 휴대폰에 의한 생체 영향에 국한되어 있는 실정이다. 본 논문에서는 FCC에서 제안하고 있는 MICS 대역과 ISM 대역의 인체 팬텀에 대한 전기적 상수를 이용하여 준고체형 팬텀들을 제작하였다. 제작된 준 고체형 팬텀들은 각 대역에서 FCC에서 제시한 전기적 상수(MICS 대역에서 $\varepsilon_r=56.7$, $\sigma=0.94$, ISM 대역에서 $\varepsilon_r=52.7$, $\sigma=1.95$)들을 만족하였다. 또한, 제작된 준 고체형 팬텀의 재료들은 쉽게 구매 가능한 재료들로 구성되었으며, 팬텀 재료의 다양성을 위해서 각 대역에서 polyethylene과 TX-151을 이용한 방법과 글리세린을 이용한 두 가지 방법을 제시하였다. 제작된 준 고체형 팬텀은 평탄한 형태이며, 유전율 측정기로 제작후 1일 (24 시간)이 경과한 후 팬텀의 전기적 특성을 측정하였다.

• 한국방사선학회논문지
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• 제13권3호
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• pp.453-458
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• 2019

본 연구에서는 Geant4 application for tomographic emission (GATE) 시뮬레이션 프로그램을 통해 설계 된 male adult mesh (MASH) 팬텀의 영상을 획득한 후 다양한 필터링 인자가 설정된 FNLM 노이즈 제거 알고리즘을 적용함으로써 그에 따른 영상 특성의 경향성을 알아보고자 한다. 이를 위해 GATE 시뮬레이션 프로그램을 통해 인체를 모사할 수 있는 MASH 팬텀을 설계하였다. 또한, 설계된 MASH 팬텀을 기반으로 MATLAB 프로그램을 통해 복부영상을 획득한 후 0.005의 $\sigma$ 값을 갖는 Gaussian noise를 추가하여 열화영상을 모델링하였다. 모델링 된 열화영상으로부터 제안하는 FNLM 노이즈 제거 알고리즘의 필터링 인자를 각각 0.005, 0.01, 0.05, 0.1, 0.5, 1.0 으로 설정하여 적용하였으며, 정량적 평가를 위해 FNLM 노이즈 제거 알고리즘이 적용된 영상들로부터 각각의 coefficient of variation (COV), signal to noise ratio (SNR) 그리고 contrast to noise ratio (CNR)을 측정하였다. 결과적으로, 0.05의 필터링 인자가 적용된 영상에서 가장 개선된 COV, SNR 그리고 CNR 값을 보였다. 특히, COV는 설정된 필터링 인자가 증가함에 따라 감소하였으며, 0.05 값 이후부터 거의 일정한 값을 나타내었다. 또한, SNR 및 CNR의 경우 필터링 인자가 증가함에 따라 증가하였으며, 0.05 값 이후부터 감소하는 경향을 보였다. 결론적으로, 열화 영상으로부터 FNLM 노이즈 제거 알고리즘 적용 시 적합한 필터링 인자를 설정해야 함이 증명되었다.

• Journal of Radiation Protection and Research
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• 제47권3호
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• pp.111-133
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• 2022

The exciting advancement related to the "modeling of digital human" in terms of a computational phantom for radiation dose calculations has to do with the latest hype related to deep learning. The advent of deep learning or artificial intelligence (AI) technology involving convolutional neural networks has brought an unprecedented level of innovation to the field of organ segmentation. In addition, graphics processing units (GPUs) are utilized as boosters for both real-time Monte Carlo simulations and AI-based image segmentation applications. These advancements provide the feasibility of creating three-dimensional (3D) geometric details of the human anatomy from tomographic imaging and performing Monte Carlo radiation transport simulations using increasingly fast and inexpensive computers. This review first introduces the history of three types of computational human phantoms: stylized medical internal radiation dosimetry (MIRD) phantoms, voxelized tomographic phantoms, and boundary representation (BREP) deformable phantoms. Then, the development of a person-specific phantom is demonstrated by introducing AI-based organ autosegmentation technology. Next, a new development in GPU-based Monte Carlo radiation dose calculations is introduced. Examples of applying computational phantoms and a new Monte Carlo code named ARCHER (Accelerated Radiation-transport Computations in Heterogeneous EnviRonments) to problems in radiation protection, imaging, and radiotherapy are presented from research projects performed by students at the Rensselaer Polytechnic Institute (RPI) and University of Science and Technology of China (USTC). Finally, this review discusses challenges and future research opportunities. We found that, owing to the latest computer hardware and AI technology, computational human body models are moving closer to real human anatomy structures for accurate radiation dose calculations.

• 한국광학회:학술대회논문집
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• 한국광학회 2007년도 하계학술발표회 논문집
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• pp.37-38
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• 2007

• 대한의용생체공학회:의공학회지
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• 제44권3호
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• pp.182-189
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• 2023

CT is a medical device that acquires medical images based on Attenuation coefficient of human organs related to X-rays. In addition, using this theory, it can acquire sagittal and coronal planes and 3D images of the human body. Then, CT is essential device for universal diagnostic test. But Exposure of CT scan is so high that it is regulated and managed with special medical equipment. As the special medical equipment, CT must implement quality control. In detail of quality control, Spatial resolution of existing phantom imaging tests, Contrast resolution and clinical image evaluation are qualitative tests. These tests are not objective, so the reliability of the CT undermine trust. Therefore, by applying an artificial intelligence classification model, we wanted to confirm the possibility of quantitative evaluation of the qualitative evaluation part of the phantom test. We used intelligence classification models (VGG19, DenseNet201, EfficientNet B2, inception_resnet_v2, ResNet50V2, and Xception). And the fine-tuning process used for learning was additionally performed. As a result, in all classification models, the accuracy of spatial resolution was 0.9562 or higher, the precision was 0.9535, the recall was 1, the loss value was 0.1774, and the learning time was from a maximum of 14 minutes to a minimum of 8 minutes and 10 seconds. Through the experimental results, it was concluded that the artificial intelligence model can be applied to CT implements quality control in spatial resolution and contrast resolution.

• IEIE Transactions on Smart Processing and Computing
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• 제3권1호
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• pp.28-34
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• 2014

Recently, ultrasound therapy has become a new and effective treatment for many brain diseases. Therefore, skull-mimicking phantoms have been developed to simulate the skull and brain tissue of a human and allow further research into ultrasound therapy. In this study, the suitability of various skull-mimicking materials(HDPE, POM C, Acrylic) for studies of brain-tumor treatments was evaluated using focused ultrasound. The acoustic properties of three synthetic resins were measured. The skull-mimicking materials were then combined with an egg white phantom to observe the differences in the ultrasound beam distortion according to the type of material. High-intensity polyethylene was found to be suitable as a skull-mimicking phantom because it had acoustic properties and a denatured-area shape that was close to those of the skull,. In this study, a skull-mimicking phantom with a multi-layer structure was produced after evaluating several skull-mimicking materials. This made it possible to predict the denaturation in a skull in relation to focused ultrasound. The development of a therapeutic protocol for a range of brain diseases will be useful in the future.

• 대한디지털의료영상학회논문지
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• 제13권2호
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• pp.71-76
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• 2011

Because interventional procedure operates looking at premier as real time when perate intervention enemy, by patient is revealed during suitableness time in radiation, side effect such as radiation injury of skin is apt to happen. It established by purpose of study that measure exposure dose that patient receives about these problem, and find solution for radiation injury and repletion method. In this study, we used Rando phantom of identical structure with the human body which becomes accomplished with 4 branch ingredient of the attempt and system equivalent material them and absorbed dose were measured by TLD. According to the laboratory, it shows that operations such as TFCA procedure or uterine myoma embolization are more dangerous than TACE procedure. If both operations are inspected during a short time, it is not affected in being bombed. However, it can lead to palliative agenesis or depilate, definitive agenesis only if operations are repeated more than three times. Dose distibution based on experiment, to reduce radiation exposure to patients result from reduction of scatter ray as we control field size of radiation and protection of side organs except for tumor. also we knew that we can protect patients form radiation exposure, if we increas SOD and decrease SID.

• 대한의용생체공학회:의공학회지
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• 제38권3호
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• pp.116-122
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• 2017

Physical breast phantoms would be useful for the development of a dedicated breast computed tomography (BCT) system and its optimization. While the conventional breast phantoms are available in compressed forms, which are appropriate for the mammography and digital tomosynthesis, however, the BCT requires phantoms in uncompressed forms. Although simple cylindrical plastic phantoms can be used for the development of the BCT system, they will not replace the roles of uncompressed phantoms describing breast anatomies for a better study of the BCT. In this study, we have designed a numerical voxel breast phantom accounting for the random nature of breast anatomies and applied it to the 3D printer to fabricate the uncompressed anthropomorphic breast phantom. The numerical voxel phantom mainly consists of the external skin and internal anatomies, including the ductal networks, the glandular tissues, the Cooper's ligaments, and the adipose tissues. The voxel phantom is then converted into a surface data in the STL file format by using the marching cube algorithm. Using the STL file, we obtain the skin and the glandular tissue from the 3D printer, and then assemble them. The uncompressed breast phantom is completed by filling the remaining space with oil, which mimics the adipose tissues. Since the breast phantom developed in this study is completely software-generated, we can create readily anthropomorphic phantoms accounting for diverse human breast anatomies.

• Journal of electromagnetic engineering and science
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• 제13권1호
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• pp.28-33
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• 2013

This paper proposes a miniaturized high-isolation diversity antenna for wearable wireless body area network (WBAN) applications. An inverted-F type radiating element is used to reduce the overall dimension of the proposed antenna to $30mm{\times}30mm{\times}2.5mm$. The antenna performance on the human body phantom is analyzed through simulation and the performance of the fabricated antenna is verified by comparing the measured data with that of the simulation when the antenna is placed on a semi-solid flat phantom with equivalent electrical properties of a human body. The fabricated antenna has a 10 dB return loss bandwidth over the Industrial Scientific Medical (ISM) band from 2.35 GHz to 2.71 GHz and isolation is higher than 28 dB at 2.45 GHz. The measured peak gain of antenna elements # 1 and # 2 is -0.43 dBi and -0.54 dBi, respectively. Performance parameters are analyzed, including envelope correlation coefficient (ECC), mean effective gain (MEG), and the MEG ratio. In addition, the specific absorption ratio (SAR) distributions of the proposed antenna are measured for consideration in use.