• 한국의학물리학회지:의학물리
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• 제27권3호
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• pp.105-110
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• 2016

Sparse angular sampling has been studied recently owing to its potential to decrease the radiation exposure from computed tomography (CT). In this study, we investigated the analytic reconstruction algorithm in sparse angular sampling using the sinogram interpolation method for improving image quality and computation speed. A prototype of the spectral CT system, which has a 64-pixel Cadmium Zinc Telluride (CZT)-based photon-counting detector, was used. The source-to-detector distance and the source-to-center of rotation distance were 1,200 and 1,015 mm, respectively. Two energy bins (23~33 keV and 34~44 keV) were set to obtain two reconstruction images. We used a PMMA phantom with height and radius of 50.0 mm and 17.5 mm, respectively. The phantom contained iodine, gadolinium, calcification, and lipid. The Feld-kamp-Davis-Kress (FDK) with the sinogram interpolation method and Maximum Likelihood Expectation Maximization (MLEM) algorithm were used to reconstruct the images. We evaluated the signal-to-noise ratio (SNR) of the materials. The SNRs of iodine, calcification, and liquid lipid were increased by 167.03%, 157.93%, and 41.77%, respectively, with the 23~33 keV energy bin using the sinogram interpolation method. The SNRs of iodine, calcification, and liquid state lipid were also increased by 107.01%, 13.58%, and 27.39%, respectively, with the 34~44 keV energy bin using the sinogram interpolation method. Although the FDK algorithm with the sinogram interpolation did not produce better results than the MLEM algorithm, it did result in comparable image quality to that of the MLEM algorithm. We believe that the sinogram interpolation method can be applied in various reconstruction studies using the analytic reconstruction algorithm. Therefore, the sinogram interpolation method can improve the image quality in sparse-angular sampling and be applied to CT applications.

• 한국방사선학회논문지
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• 제14권4호
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• pp.353-360
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• 2020

본 연구는 CBCT 장비의 표준 노출 조건(80 kV, 7 mA)을 기준으로 관전압과 관전류를 낮추어 촬영하면서 표준 노출 조건의 물리적 화질 요소값을 유지할 수 있는 노출 조건의 제시를 목표로 두고자한다. 영상의 물리적 화질 요소값의 측정을 위해 변조전달함수(MTF)가 분석되었고 선량 측정을 위해 선량-면적 곱(DAP)을 이용하였다. 관전압(80, 78, 76 kV)과 관전류(7, 6, 5, 4, 3 mA)의 15가지 조합의 노출 조건에서 Sedent ex IQ 팬텀 (Leeds Test Objects Ltd., Boroughbridge, UK)의 CBCT 영상을 얻었고 MTF 10이 각 조건에서 계산 되었다. 표준 노출 조건과 비교시 80 kV-6 mA, 80 kV-5 mA 노출 조건은 MTF 10에 있어 유의한 차이를 보이지 않았기에 본 연구에서 사용된 CBCT 장비의 경우, 80 kV-5 mA로 낮춘 노출 조건에서 물리적 화질요소값을 유지하면서 선량을 감소시킬 수 있는 것으로 판단되어진다.

• 대한방사선기술학회지:방사선기술과학
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• 제39권3호
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• pp.337-344
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• 2016

본 연구에서는 3차원(3-dimensional, 3D) 프린팅 기술로 출력된 팬톰에 대한 X선 투과성을 평가하고자 하였다. 3D 프린팅 방식은 용융적층조형(fused deposition modeling, FDM) 방식을 이용했으며 소재는 아크릴로나이트릴 뷰타다이엔 스타이렌(acrylonitrile butadiene styrene, ABS)을 사용하였다. 팬톰은 원통 모양으로 설계하였으며 전산화단층영상장비(computed tomography, CT)에서 획득한 단면영상으로 균일도를 측정하였다. X선 투과성 평가는 3D 출력된 팬톰 내부에 이온챔버를 삽입하여 실시하였다. 그 결과, 평균 균일도가 2.70 HU이었으며 기존 폴리메틸 메타크릴레이트(poly methyl methacrylate, PMMA) CT 팬톰과 3D 프린터로 출력된 팬톰에서 측정된 X선 투과성의 상관관계는 0.976로 높은 상관관계가 있는 것으로 나타났다. 향후 3D 프린팅 기술을 이용한 방사선정도관리 팬톰 제작에 기초자료로 활용할 수 있으리라 기대한다.

• 인터넷정보학회논문지
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• 제24권4호
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• pp.85-92
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• 2023

X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI)과 같은 의료데이터에서 딥러닝을 활용해 질병 유무 판별 태스크와 같은 문제를 해결하려는 시도가 활발하다. 대부분의 데이터 기반 딥러닝 문제들은 높은 정확도 달성과 정답과 비교하는 성능평가의 활용을 위해 지도학습기법을 사용해야 한다. 지도학습에는 다량의 이미지와 레이블 세트가 필요하지만, 학습에 충분한 양의 의료 이미지 데이터를 얻기는 어렵다. 다양한 데이터 증강 기법을 통해 적은 양의 의료이미지와 레이블 세트로 지도학습 기반 모델의 과소적합 문제를 극복할 수 있다. 본 연구는 딥러닝 기반 갈비뼈 골절 세그멘테이션 모델의 성능 향상과 효과적인 좌우 반전, 회전, 스케일링 등의 데이터 증강 기법을 탐색한다. 좌우 반전과 30° 회전, 60° 회전으로 증강한 데이터셋은 모델 성능 향상에 기여하지만, 90° 회전 및 ⨯0.5 스케일링은 모델 성능을 저하한다. 이는 데이터셋 및 태스크에 따라 적절한 데이터 증강 기법의 사용이 필요함을 나타낸다.

• Korean Journal of Radiology
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• 제22권6호
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• pp.951-958
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• 2021

Objective: To evaluate the usefulness of virtual monochromatic images (VMIs) obtained using dual-layer dual-energy CT (DL-DECT) for evaluating brain tumors. Materials and Methods: This retrospective study included 32 patients with brain tumors who had undergone non-contrast head CT using DL-DECT. Among them, 15 had glioblastoma (GBM), 7 had malignant lymphoma, 5 had high-grade glioma other than GBM, 3 had low-grade glioma, and 2 had metastatic tumors. Conventional polychromatic images and VMIs (40-200 keV at 10 keV intervals) were generated. We compared CT attenuation, image noise, contrast, and contrast-to-noise ratio (CNR) between tumor and white matter (WM) or grey matter (GM) between VMIs showing the highest CNR (optimized VMI) and conventional CT images using the paired t test. Two radiologists subjectively assessed the contrast, margin, noise, artifact, and diagnostic confidence of optimized VMIs and conventional images on a 4-point scale. Results: The image noise of VMIs at all energy levels tested was significantly lower than that of conventional CT images (p < 0.05). The 40-keV VMIs yielded the best CNR. Furthermore, both contrast and CNR between the tumor and WM were significantly higher in the 40 keV images than in the conventional CT images (p < 0.001); however, the contrast and CNR between tumor and GM were not significantly different (p = 0.47 and p = 0.31, respectively). The subjective scores assigned to contrast, margin, and diagnostic confidence were significantly higher for 40 keV images than for conventional CT images (p < 0.01). Conclusion: In head CT for patients with brain tumors, compared with conventional CT images, 40 keV VMIs from DL-DECT yielded superior tumor contrast and diagnostic confidence, especially for brain tumors located in the WM.

• 방사선산업학회지
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• 제17권4호
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• pp.385-390
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• 2023

The uterus, one of women's reproductive organs, is also closely related to women's health. Among them, hemorrhagic luteal cysts, one of the causes of pelvic pain that women often experience, were observed through CT and ultrasound, and the quality of images was evaluated through quantitative and qualitative evaluations. This study sought to find out whether the test method is more helpful to patients during CT and ultrasound. This study was conducted on 15 adolescent women and 15 adult women(21.31±3.45 average age). The equipment used for filming used EC3-10X (3~10 MHZ) and Philips Mx8000 iCT 256 among Endocavity Probes among Ecube Platinum. After setting a constant ROI on the cyst and the interface as a quantitative analysis method, SNR and CNR values were measured on a 5-point scale based on image quality, lesion clarity, image distortion, clarity of the interface, and motion artifacts (p<0.05). Independent t-test and Mann Whiteny U were performed, and the statistical program used was noted when SPSS (Version 22.0 for windows software package, Chicago, IL, USA) was statistically less than 0.05. Comparing the SNR and CNR values for this experiment, it can be seen that the SNR value was higher in the case of CT images(p<0.05). As a result of the qualitative evaluation, the quality of the image, the clarity of the lesion, the distortion of the image, the clarity of the interface, and the clarity of the boundary were measured on a 5-point scale based on the movement artifact. Comparing each score, CT images scored higher with a finer difference than ultrasound images(p<0.05). In conclusion, both test methods showed excellent results in finding the patient's lesions. However, in quantitative and qualitative evaluations, CT produced higher results in detecting lesions than ultrasound. However, for cyst tests that require continuous observation, ultrasonography, a non-invasive method that is advantageous for patients, will be clinically useful. Therefore, observing the patient's lesions by appropriately distributing these two test methods will provide optimal diagnostic information. These results will be useful for providing clinical basic data and educational materials to CT and US users in the future.

• IEIE Transactions on Smart Processing and Computing
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• 제4권5호
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• pp.311-317
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• 2015

The aim of this study is to develop a 3D registration algorithm for positron emission tomography/computed tomography (PET/CT) and magnetic resonance (MR) images acquired from independent PET/CT and MR imaging systems. Combined PET/CT images provide anatomic and functional information, and MR images have high resolution for soft tissue. With the registration technique, the strengths of each modality image can be combined to achieve higher performance in diagnosis and radiotherapy planning. The proposed method consists of two stages: normalized mutual information (NMI)-based global matching and independent component analysis (ICA)-based refinement. In global matching, the field of view of the CT and MR images are adjusted to the same size in the preprocessing step. Then, the target image is geometrically transformed, and the similarities between the two images are measured with NMI. The optimization step updates the transformation parameters to efficiently find the best matched parameter set. In the refinement stage, ICA planes from the windowed image slices are extracted and the similarity between the images is measured to determine the transformation parameters of the control points. B-spline. based freeform deformation is performed for the geometric transformation. The results show good agreement between PET/CT and MR images.

• 대한방사선기술학회지:방사선기술과학
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• 제37권1호
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• pp.37-47
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• 2014

본 연구는 토모테라피(Accuray Inc, Sunnyvale, CA, USA)의 자동영상정합 과정에서 조정인자에 따른 종축과 회전축의 오차를 분석하였다. 다섯그룹(두부, 경부, 흉부, 복부, 골반부)으로 구분된 총 50명의 치료가 종료된 환자를 대상으로 하였고, 총 500개의 megavoltage computed tomography (MVCT) 영상을 분석하였다. 모의치료에서 kilovoltage computed tomography (kVCT)영상을 얻었고, 치료계획을 위하여 토모테라피 Hi-Art II 치료계획시스템(Accuray Inc, Sunnyvale, CA, USA)을 사용하였다. 매 회 치료 전 자동영상정합 과정을 시행하였고, 종축과 회전축의 오차를 기록하였다. 종축과 회전축의 일치도(adjustments)에서 자동영상정합을 분석하기 위하여 총 아홉 가지 조정인자를 적용하였고, 각 그룹의 계통적(systematic, ${\Sigma}$)과 통계적(random, RMS) 오차에 대하여 종합적 평균오차(overall mean value, M)를 구했다. 각 그룹 간 회전축 일치도의 종합적 평균오차에서 밀도와 해상도에 따른 다양한 조정인자에 의한 차이를 보였다. 밀도와 해상도가 높아짐에 따라 회전축 일치도에서 편차가 작았다. 그러므로, 토모테라피에서 "full-image"모드와 "standard"해상도를 이용한 자동영상정합은 정확한 오차 확인이 가능하고, 환자 재위치잡이(repositionning) 및 보정(correcting)에 도움이 될 것으로 사료된다.

• 전자공학회논문지
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• 제49권9호
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• pp.293-299
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• 2012

전기 임피던스 단층촬영법은 대상체의 표면에 부착된 전극들을 통해 전류를 주입하고 전압을 측정함으로써, 내부의 도전율 또는 저항률 분포를 추정하고 영상으로 복원하는 비교적 새로운 영상 복원 기법이다. 이 논문에서는 on-line에서 한 번의 연산으로도 표적의 정확한 위치 정보와 복원의 정확도를 향상시킬 수 있는 새로운 역문제 알고리즘을 개발하였다. 그리고 제안한 방법의 복원 성능을 향상시키기 위해 가중 행렬의 고유치로부터 step-length를 계산하였다. 몇 가지 시나리오를 설정하고 모의실험을 통해 제안한 방법의 영상 복원의 성능을 평가하였다.

• Journal of Electrical Engineering and Technology
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• 제11권2호
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• pp.499-507
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• 2016

Medical imaging techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultrasound (US) produce a large amount of digital medical images. Hence, compression of digital images becomes essential and is very much desired in medical applications to solve both storage and transmission problems. But at the same time, an efficient image compression scheme that reduces the size of medical images without sacrificing diagnostic information is required. This paper proposes a novel threshold-based medical image compression algorithm to reduce the size of the medical image without degradation in the diagnostic information. This algorithm discusses a novel type of thresholding to maximize Compression Ratio (CR) without sacrificing diagnostic information. The compression algorithm is designed to get image with high optimum compression efficiency and also with high fidelity, especially for Peak Signal to Noise Ratio (PSNR) greater than or equal to 36 dB. This value of PSNR is chosen because it has been suggested by previous researchers that medical images, if have PSNR from 30 dB to 50 dB, will retain diagnostic information. The compression algorithm utilizes one-level wavelet decomposition with threshold-based coefficient selection.