Due to climate change and the rise in international transportation, there is an emerging potential for outbreaks of mosquito-borne diseases such as malaria, dengue, and chikungunya. Consequently, the rapid detection of vector mosquito species, including those in the Aedes, Anopheles, and Culex genera, is crucial for effective vector control. Currently, mosquito population monitoring is manually conducted by experts, consuming significant time and labor, especially during peak seasons where it can take at least seven days. To address this challenge, we introduce an automated mosquito monitoring system designed for wild environments. Our method is threefold: It includes an imaging trap device for the automatic collection of mosquito data, the training of deep-learning models for mosquito identification, and an integrated management system to oversee multiple trap devices situated in various locations. Using the well-known Faster-RCNN detector with a ResNet50 backbone, we’ve achieved mAP (@IoU=0.50) of up to 81.63% in detecting Aedes albopictus, Anopheles spp., and Culex pipiens. As we continue our research, our goal is to gather more data from diverse regions. This not only aims to improve our model’s ability to detect different species but also to enhance environmental monitoring capabilities by incorporating gas sensors.

Gamma imaging devices that can accurately localize the radioactive contamination could be effectively used during nuclear decommissioning or radioactive waste management. While several hand-held devices have been proposed, their low efficiency due to small sensors have severely limited their application. To overcome this limitation, a high-speed gamma imaging system is under development which comprises two quad-type detectors and a tungsten coded aperture mask. Each quad-type detector consists of four rectangular NaI(Tl) crystals with dimensions of 146×146 mm2 and 72 square-type photomultiplier tubes (PMTs). The detectors are placed in front and back to serve as scatter and absorber, respectively, for Compton imaging. In addition, a coded aperture mask was fabricated in rank 19 modified uniformly redundant array pattern and placed in front of the scatter for coded aperture imaging. The system offers several advanced features including 1) high efficiency achieved by employing large-area NaI(Tl) crystals and 2) broad energy range of imaging by employing a hybrid imaging combining Compton and coded aperture imaging. The imaging performance of the system was evaluated through experiments in various conditions with different gamma energies and source positions. The imaging system provides clear images of the source locations for gamma energies ranging from as low as 59.5 keV (241Am) to as high as 1,330 keV (60Co). The imaging resolution was within the range of 7.5–9.4°, depending on gamma energies, when a hybrid maximum likelihood estimation maximization (MLEM) algorithm was used. The developed system showed high sensitivity, as the 137Cs source at distance, incurring dose rate lower than background level (0.03 μSv/h above background dose rate), could be imaged in approximately 2 seconds. Even under lower dose rate condition (i.e., 0.003 μSv/h above background dose rate), the system was able to image the source within 30 seconds. The system developed in the present study broadens the applicable conditions of the gamma ray imaging in terms of gamma ray energy, dose rate, and imaging speed. The performance demonstrated here suggests a new perspective on radiation imaging in the nuclear decontamination and radioactive waste management field.

본 연구에서는 DWI 적용 시 X축 거리에 따른 신호 손실과 인공물 발생 여부를 SS-EPI 기법과 비교 분석하여, MS-EPI 기법의 특성을 제시하고 임상 적용 관련 기초자료를 제시하고자 하였다. 3.0T 자기공명영상장치와 팬텀을 사용 하여 자기장 중심축과 좌우 끝 지점 ±3cm, 3번씩 움직여 표준 영상인 T2 강조영상과 SS-EPI DWI, MS-EPI DWI(RESOLVE) 축상면 영상을 획득하였다. 각 동일 부위에서의 SS-EPI DWI, MS-EPI DWI 영상을 T2 강조영상과 감산하여 신호 손실 직경을 측정하여 정량적 분석을 하였다. 정성적 평가는 나이퀴스트 허상과 기하학적 왜곡과 신호 손실, 인공물 발생 여부를 방사선사 3명이 비교평가 하였다. 두 기법 모두 오프 센터(off-center)로 이동할수록 신호 손실구간 또는 기하학적 왜곡이 나타나는데, 특히 MS-EPI 기법에서는 좌우 신호 손실 현상이 매우 증가해 –25, +25 cm 구간에서 는 약 50% 길이가 감소하였다. MS-EPI 기법은 근골격계 질환에서 기존에 매우 높은 영상 유용성을 인정받고 있다. 그러 나 k-공간을 분할 하여 채우는 MS-EPI 기법은 오프 센터의 낮은 공간 주파수 획득 시 위상변동 보정이 안 되어 신호 손실구간이 나타나며, 이에 관한 연구는 전혀 없는 실정이다. 이에 따라 본 연구는 기존의 선행 연구에서의 보여주지 못한 임상적 적용 시 MS-EPI 기법의 문제점을 파악하면서 이러한 정보를 공유하고 추가적인 연구에 토대가 될 수 있는 기초를 마련했다는 점에 의의가 있다.

본 연구의 목적은 60대의 대뇌에서 T1, T2, PD 이완 시간 값을 측정하여 연령별 특정 해부학적 구조물들의 이완 시간 의 평균값과 연령에 따른 이완 시간 변화의 관련성이 있는지 분석하고자 하였다. 60에서 69세까지 총 50명의 정상 뇌자기 공명영상검사자의 데이터를 Synthetic MR의 MAGiC을 이용하여 후향적으로 분석하였다. 대상 부위는 해마, 대뇌 부챗살, 측두엽 회백질, 시상, 뇌척수액이었다. 실험결과 해마, 대뇌 부챗살, 측두엽 회백질은 연령 변화에 따른 T1, T2, PD 이완 시간의 차이가 없었다(p>0.05). 하지만 시상에서는 PD 이완시간이 연령과의 상관성이 있었고(R2=0.112, p<0.05), 뇌척 수액에서는 T1 이완시간(R2=0.063, p<0.05)과 T2 이완시간(R2=0.061, p<0.05)에서 연령과의 상관성을 확인하였다. 추후 다양한 연령대의 대뇌 이완 시간을 측정하여 평균값의 비교 연구가 필요하고, 시상과 뇌척수액에서는 대규모 모집단 연구가 필요할 것이라 판단되며 이에 본 연구가 기초자료를 제공할 것이라 사료된다.

We performed the quantitative analysis using MATLAB for slice thickness, spatial resolution, and low contrast resolution with the 50 received images which have suitable judgement by scanning AAPM phantom using GE, PHILIPS, SIEMENS, and TOSHIBA. Slice thickness and spatial resolution were measured by using full width at half maximum(below FWHM). Spatial resolution was confirmed that FWHM interval more than 1.0 mm size. Low contrast resolution was measured that how close by using Roundness Index(below RI) until 6.4 mm size. The spatial resolution 9 images and low contrast resolution 10 images which have disapproved judgement were also had the quantitative analysis. The statistic analysis was judged to have statistically significant differences when p-value is less than 0.05 through SPSS statistics 19.0 and T-test (paired t-test). For slice thickness 5 mm, the average qualitative evaluation group shows 4.98 mm and quantitative evaluation group shows 5.02. For slice thickness 10 mm, the average qualitative evaluation group shows 9.98 mm and quantitative evaluation group shows 9.86. No significant differences (p=0.07, p=0.06) with 5 mm and 10 mm. It confirmed the interval for all FWHM until 1.75, 1.50, 1.25, 1.00 mm as approved images on spatial resolution ,and the average distance was 0.102 mm and the minimum distance 0.054 mm. For disapproved images, all interval was not showed under 1.00 mm. For low contrast resolution, spproved image’s RI value shows average 0.81 and minimum 0.77. The disapproved image’s RI average shows 0.70. Statiscally significant differences were presented (all p<0.05) following hole size.

This study was to analyse the usability of morphological evaluation of vitrified-thawed oocyte before somatic cell nuclear transfer (SCNT) using Oosight imaging system to show spindle. For the vitrification, in vitro matured bovine MII oocytes were treated by two-step freezing medium without (control group) or with 5 ug/ml cytochalasin-b (CCB group). In Exp. 1, after thawing, recovered oocytes in each treatment group were assessed by live image using Oosight imaging system or/and cytoskeletal protein image using immunostaining. In Exp. 2, in each treatment group the in vitro developmental potential of frozen-thawed bovine oocytes post evaluation using Oosight imaging system and then SCNT was investigated. The SCNT embryos were cultured in CR1aa medium supplemented with 10% FBS, 1 mM EGF and 1 mM IGF at 38.5 C in 5% O2 and 5% CO2 in air for 8 days. In Exp.1, the rates of in vitro survival, morphological good grade and spindle normality of CCB treatment group (91.1%, 54.2% and 55.5%) were better than those of control group (86.1%, 48.5% and 48.5%). After SCNT using vitrified-thawed oocyte, the rates of fusion, reconstructed embryos and blastocyst development were also high in CCB treatment group (66.6%, 36.4% and 3.0%) than control group (60.0%, 27.3% and 0%). These results demonstrated that the identification of morphological spindle image of the vitrified-thawed bovine oocytes using Oosight imaging system helps to predict the SCNT embryo quality.

This study was done to provide basic data on the safety of professionals in medical imaging system by measuring the electromagnetic waves generated in the medical imaging system being used in medical organization. The studied medical imaging systems were general X-ray system, computed tomography(CT), ultrasonographic(USG) system, magnetic resonance imaging(MRI), PET-CT and fluoroscopic(R/F) system, and through these devices, electric field and magnetic field were measured and analyzed. As a result of the analysis, the measured values classified by the medical organizations were not much significant, but in the measurement by the medical imaging systems, there were high hazard elements in the sequential order of electric field PET-CT(17.7±22.9)v/m, CT(10.3±8.7)v/m, general X-ray system(8.8±8.8)v/m, magnetic field general X-ray system(5.06±8.26)mG, CT(2.71±4.53)mG and PET-CT(0.74±0.34)mG, the systems that adopted X-ray as main ray source, and the more aged the medical imaging systems, the greater the effects of electro-magnetic waves(10.6±15.93v/m for 5 years or more, 6.14±5.60v/m for 5 years or less). The effects of electromagnetic waves on medical imaging systems or facilities were not much when the notification of ministry of knowledge economy is considered, but in the overall perspective considering all the equipments and facility of the medical organization, such effects were significant. It is determined that sustainable safety managements of electric field and magnetic field must be done during process from medical imaging system installation to maintenance to rule out such factors.

본 연구는 식물체 캘러스의 접종공정의 자동화기술 개발하기 위하여 캘러스를 인식하는 영상처리 시스템과 캘러스를 새로운 배지로 접종하는 접종용 엔드이펙터, 매니퓰레이터 및 자동화 제어장치를 개발하고 그 성능을 평가하기 위하여 수행되었으며, 본 보에서는 영상처리 시스템 및 매니퓰레이터에 대한 연구결과를 소개한다. 캘러스의 인식을 위하여 영상처리부와 조명부로 구성한 영상처리 장치를 개발하였다. 영상처리부는 CCD 카메라와 PC로 구성하였으며, 조명부는 55W/3 파장 램프를 전면과 측면에 각각 설치하여 항상 일정한 조도가 유지되도록 하였으며, R, G, B 각 프레임별 화소특성을 검토한 결과, 캘러스와 배양용기는 B 프레임에서 분리가 가능하였다. 또한 캘러스 분할을 위한 알고리즘의 개발결과 캘러스가 원형인 경우는 도심을 기준으로 절단하고 장변형인 경우는 길이방향의 수직으로 절단하도록 하였으며, 장변형의 경우 위치하고 있는 방향을 인식하여 0~180˚ 범위내의 결과 값을 로봇측에 전송하여 엔드이펙터의 방향을 결정하도록 하였다. 영상취득부터 캘러스의 분할위치 결정까지 1사이클에 소요되는 시간은 디스플레이 1.5초, 영상처리 0.7초 등으로 총2.2초였으며, 개발된 인식 알고리즘의 정확도는 용기인식의 경우 전체 30개중에서 28개가 정확히 인식되어 성공률은 93%가 되었다.