• Nuclear Engineering and Technology
• /
• v.52 no.10
• /
• pp.2346-2352
• /
• 2020

Dual-energy x-ray absorptiometry (DXA) is the noninvasive method to diagnose osteoporosis disease characterized by low bone mass and deterioration of bone tissue. Many global companies and research groups have developed the various DXA detectors using a direct photon-counting detector such as a cadmium zinc telluride (CZT) sensor. However, this approach using CZT sensor has some drawback such as the limitation of scalability by high cost and the loss of efficiency due to the requirement of a thin detector. In this study, a SiPM based DXA system was developed and its performance evaluated experimentally. The DXA detector was composed of a SiPM sensor coupled with a single LYSO scintillation crystal (3 × 3 × 2 ㎣). The prototype DXA detector was mounted on the dedicated front-end circuit consisting of a voltage-sensitive preamplifier, pulse shaping amplifier and constant fraction discriminator (CFD) circuit. The SiPM based DXA detector showed the 34% (at 59 keV) energy resolution with good BMD accuracy. The proposed SiPM based DXA detector showed the performance comparable to the conventional DXA detector based on CZT.

• Nuclear Engineering and Technology
• /
• v.52 no.10
• /
• pp.2328-2333
• /
• 2020

The filter technique was applied to noise images, as noise is the significant factor that cause poor image quality due to lower photon counting. The purpose of this study is to confirm that image quality can be improved using the median modified Wiener filter (MMWF) technique; this is achieved via a National Electrical Manufacturers Association International Electrotechnical Commission body phantom with four large spheres that are filled with the ^99mTc radioisotope when evaluating the image quality. Conventional filters such as Wiener, Gaussian, and median filters were designed, and signal to noise ratio, coefficient of variation, and contrast to noise ratio were used as the evaluation parameters. The improvement in the image quality was in the following order, from the least to the highest improvement, in all cases: Wiener filter, Gaussian filter, median filter, and the MMWF technique. The results show that the image quality was improved from 20.6 to 65.5%, 7.4-40.3%, and 12.7-44.7% for the SNR, COV, and CNR values, respectively, when using the MMWF technique, compared with the use of conventional filters. In conclusion, our results demonstrated that the MMWF technique is useful for reducing the noise distribution in gamma camera images.

• Bulletin of the Korean Chemical Society
• /
• v.19 no.7
• /
• pp.747-753
• /
• 1998

The phoisomerization process of symmetric carbocyanine dyes such as 3,3'-diethyloxadicarbocyanine iodide (DODCI), 3,3'-diethylthiadicarbocyanine iodide (DfDCI), 1,1'-diethyl-2,2'-dicarbocyanine iodide (DDI), 1,1'-diethyl-2,2'-carbocyanine iodide (DCI), and cryptocyanine (1,1'-diethyl-4,4'-carbocyanine) iodide (CCI) have been studied by measuring the steady state and time resolved fluorescence spectra and the ground-state recovery profiles. The steady-state fluorescence spectrum of photoisomer as a function of concentration and excitation wavelength provides the evidence that the fluorescence of photoisomer is formed by the radiative energy transfer from the normal form and the quantum yield for the formation of photoisomer is increased by decreasing the excitation wavelength. The fluorescence decay profiles have been measured by using the time correlated single photon counting (TCSPC) technique, showing a strong dependence on the concentration and the detection wavelength, which is due to the formation of excited photoisomers produced either by the radiative energy transfer from the non-nal form or by absorbing the 590 nm laser pulse. We first report the fluorescence decay time of photoisomers for these cyanine dyes. The experimental results are explained by introducing the semiempirical calculations. The ground state recovery profiles of DTDCI, DDI, and CCI normal forms have been measured, showing that the recovery time from the singlet excited state is similar with the fluorescence decay time.

• Journal of radiological science and technology
• /
• v.42 no.1
• /
• pp.9-17
• /
• 2019

Although digital mammography is a representative method for breast cancer detection. It has a limitation in detecting and classifying breast tumor due to superimposed structures. Machine learning, which is a part of artificial intelligence fields, is a method for analysing a large amount of data using complex algorithms, recognizing patterns and making prediction. In this study, we proposed a technique to improve the diagnostic accuracy of energy-selective mammography by training data using the machine learning algorithm and using dual-energy measurements. A dual-energy images obtained from a photon-counting detector were used for the input data of machine learning algorithms, and we analyzed the accuracy of predicted tumor thickness for verifying the machine learning algorithms. The results showed that the classification accuracy of tumor thickness was above 95% and was improved with an increase of imput data. Therefore, we expect that the diagnostic accuracy of energy-selective mammography can be improved by using machine learning.

• Korean Journal of Radiology
• /
• v.25 no.1
• /
• pp.86-102
• /
• 2024

Early diagnosis, accurate assessment, and localization of peritoneal metastasis (PM) are essential for the selection of appropriate treatments and surgical guidance. However, available imaging modalities (computed tomography [CT], conventional magnetic resonance imaging [MRI], and 18fluorodeoxyglucose positron emission tomography [PET]/CT) have limitations. The advent of new imaging techniques and novel molecular imaging agents have revealed molecular processes in the tumor microenvironment as an application for the early diagnosis and assessment of PM as well as real-time guided surgical resection, which has changed clinical management. In contrast to clinical imaging, which is purely qualitative and subjective for interpreting macroscopic structures, radiomics and artificial intelligence (AI) capitalize on high-dimensional numerical data from images that may reflect tumor pathophysiology. A predictive model can be used to predict the occurrence, recurrence, and prognosis of PM, thereby avoiding unnecessary exploratory surgeries. This review summarizes the role and status of different imaging techniques, especially new imaging strategies such as spectral photon-counting CT, fibroblast activation protein inhibitor (FAPI) PET/CT, near-infrared fluorescence imaging, and PET/MRI, for early diagnosis, assessment of surgical indications, and recurrence monitoring in patients with PM. The clinical applications, limitations, and solutions for fluorescence imaging, radiomics, and AI are also discussed.

• Journal of Radiation Protection and Research
• /
• v.20 no.4
• /
• pp.275-283
• /
• 1995

PERALS(Photon Electron Rejecting Alpha Liquid Scintillation) spectrometry coupled with solvent extraction method has been set up for the analysis of $^{222}Rn\;and\;^{226}Ra$ in the groundwater. This analytical method offers low background, better energy resolution and lower quenching problem than the other techniques. By the analysis of NIST SRM 4966 $^{226}Ra$ standard, the analytical accuracy and precision were found to be 3% and 1%, respectively, and the relative standard deviation of the recovery of Rn extraction between pH2 and pH10 was 7%. Detection limits of $^{222}Rn$ and $^{226}Ra$ for 10 hours counting were counted to be $0.42 pCi/{\iota}\;and\;0.016 pCi/{\iota}$, respectively. For the test analysis of $^{222}Rn\;and\;^{226}Ra$ in the graundwater, hot spring water samples of 17 regions were analyzed. The concentration of $^{222}Rn$ were in the range of $90{\sim}5200pCi/{\iota}$ and average value was $1470pCi/{\iota}\;^{226}Ra$ concentration showed a peak value of $97.9pCi/{\iota}$ in a Kangwon region, but the average value was $1.14pCi/{\iota}$ except that region.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2016.02a
• /
• pp.219-219
• /
• 2016

유기발광소자는 저전력, 빠른 응답속도, 고휘도 및 자체발광 등의 장점들 때문에 고체 광원과 플렉서블 디스플레이로 연구가 진행되고 있다. 유기발광소자는 유기 발광층을 인광물질로 사용 함으로서 100 % 내부양자 효율을 이루고 있지만 공기와 유리기판의 계면과 유리 기판과 ITO 계면에서 발생하는 내부 전반사 효과와 유기물과 ITO 기판 사이에서 발생하는 웨이브 가이드 효과 등으로 인해 발광량의 약 20 %만을 외부로 추출 할 수 있다. 따라서 유기발광소자의 광 추출 효과를 증가시키기 위해서 소자외부에 아웃커플링 필름 또는 마이크로렌즈 어레이 필름을 부착시키는 방법, 금속 나노 입자를 유기발광소자 내에 삽입하여 표면 플라즈몬 효과로 인한 광추출 효율을 높이는 방법 등이 제시되고 있다. 본 연구에서는 Au-ZnO 나노복합체를 간단한 졸겔법을 이용하여 양극 버퍼층으로 사용하여 그에 따른 계면, 전기적 및 광학적 특성을 분석하였다. Au-ZnO 나노복합체를 포함한 tris(8-hydroxyquinolinato) aluminium (Alq3) 발광층에서 ZnO를 포함한 Alq3 발광층보다 엑시톤 수명이 빠르게 감소하는 것을 시간 관련 단광자 계산(Time-Correlated Single Photon Counting) 측정을 통해서 알 수 있었다. 이러한 결과는 Au 금속 나노입자의 플라즈몬 흡수 파장과 Alq3 발광층에서 생성되는 발광 파장이 겹쳐서 효과적인 공명 에너지 전달효과로 인해 Alq3 발광층의 발광성질이 향상된 것을 의미한다. Au-ZnO 나노복합체와 ZnO 나노입자를 가지는 유기발광소자의 전류 효율은 50 mA/cm2 에서 각각 2.27와 1.83 cd/A 가지는 것으로 확인 되었다. 또한 Au-ZnO 나노복합체와 ZnO 나노입자를 사용한 유기발광소자의 전압-전류밀도가 유사한 것을 확인 할 수 있는데 이는 Au 금속 나노입자가 ZnO 나노입자의 정공 주입능력을 저하시키지 않는 것을 의미한다.

• Journal of Energy Engineering
• /
• v.13 no.2
• /
• pp.93-100
• /
• 2004

The smear media possible to sampling and radiation detection was prepared and evaluated for the surface contamination using indirect method. The films were made by impregnating Cerium Activated Yttrium Silicate (CAYS) in a polysulfone membrane. The membranes used solution as a dimethylformamide (DMF) and methylene chloride (MC), polysulfone as a polymer matrix and CAYS as a inorganic scintillator. The proximity membranes were prepared with single- and double-layered structure. The solidified methods were immersion to the nonsolvent bath such at water and ethanol and solvent evaporation. The measurement of the photon produced by interaction with radiation and inorganic scintillator used a photomultiflier tube (PMT), amplifier, and counter. In the comparison with the low background alpha/beta counter, the counter rate using inorganic scintillator proximity membrane for the $\^$14/C surface contamination was about 50%. Also. the $^3$H counting results revealed that the prepared membranes were efficient to monitor the surface contaminated with the low energy be-ray emitter nuclides.

• Progress in Medical Physics
• /
• v.6 no.2
• /
• pp.61-70
• /
• 1995

The picosecond time resolved fluorescence spectra of Hematoporphyrin Derivative (HPD) in both solutions and cancer cell are measured by a time correlated single photon counting system with a synchronously mode locked dye laser. Two exoponential decay components in the fluorescence spectra were observed. The slow decay(6.3 ㎱)and the fast one(350 ㎰)are attributed to be originated from monomers and dimers, respectively. The absorption and fluorescence measurements in steady state also showed the presence of a monomeric and dimeric forms of HPD molecules. The monomer lifetime in the cancer cell was measured to be longer than that in solution, which was expected from the blue shift and narrowing of the absorption spectra for HPD-treated in vitro. The relative amplitude of the fast component was found to be enhanced in cancer cell, strongly indicating the higher affinity of the dimer for the cancer cell.

• Korean Journal of Optics and Photonics
• /
• v.7 no.4
• /
• pp.341-347
• /
• 1996

The photocount distribution from a quasi-thermal light source, a moving ground glass disk (surface roughness; 9 ${\mu}{\textrm}{m}$) illuminated by a well-stabilized He-Ne laser, is measured by a photon counting system, and analyzed with theoretical calculations. The distribution approaches the Poisson distribution for the long coherence time ${\tau}_c$ compared to the measuring time T. The coherence time ${\tau}_c$ of the quasi-thermal source can be changed by controlling the velocity v of the motor driving the glass disk. By the comparison of experimental results and theory for the condition of T/ ${\tau}_c$ >>1, the coherence time ${\tau}_c$ of the quasi-thermal source is turned out to be in the range of 31.43 $mutextrm{s}$~2.48 $mutextrm{s}$ according to the circumferential velocity of the disk, and compared with the simple calculation of $\sigma$/v.