• 제목/요약/키워드: Matrix phantom

검색결과 47건 처리시간 0.024초

투과 컴퓨터 단층촬영을 위한 모델 기반 반복연산 재구성에서 투사선 구동 시스템 모델의 성능 비교 (Performance Comparison of Ray-Driven System Models in Model-Based Iterative Reconstruction for Transmission Computed Tomography)

  • 정지은;이수진
    • 대한의용생체공학회:의공학회지
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    • 제35권5호
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    • pp.142-150
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    • 2014
  • The key to model-based iterative reconstruction (MBIR) algorithms for transmission computed tomography lies in the ability to accurately model the data formation process from the emitted photons produced in the transmission source to the measured photons at the detector. Therefore, accurately modeling the system matrix that accounts for the data formation process is a prerequisite for MBIR-based algorithms. In this work we compared quantitative performance of the three representative ray-driven methods for calculating the system matrix; the ray-tracing method (RTM), the distance-driven method (DDM), and the strip-area based method (SAM). We implemented the ordered-subsets separable surrogates (OS-SPS) algorithm using the three different models and performed simulation studies using a digital phantom. Our experimental results show that, in spite of the more advanced features in the SAM and DDM, the traditional RTM implemented in the OS-SPS algorithm with an edge-preserving regularizer out-performs the SAM and DDM in restoring complex edges in the underlying object. The performance of the RTM in smooth regions was also comparable to that of the SAM or DDM.

Super-spatial resolution method combined with the maximum-likelihood expectation maximization (MLEM) algorithm for alpha imaging detector

  • Kim, Guna;Lim, Ilhan;Song, Kanghyon;Kim, Jong-Guk
    • Nuclear Engineering and Technology
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    • 제54권6호
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    • pp.2204-2212
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    • 2022
  • Recently, the demand for alpha imaging detectors for quantifying the distributions of alpha particles has increased in various fields. This study aims to reconstruct a high-resolution image from an alpha imaging detector by applying a super-spatial resolution method combined with the maximum-likelihood expectation maximization (MLEM) algorithm. To perform the super-spatial resolution method, several images are acquired while slightly moving the detector to predefined positions. Then, a forward model for imaging is established by the system matrix containing the mechanical shifts, subsampling, and measured point-spread function of the imaging system. Using the measured images and system matrix, the MLEM algorithm is implemented, which converges towards a high-resolution image. We evaluated the performance of the proposed method through the Monte Carlo simulations and phantom experiments. The results showed that the super-spatial resolution method was successfully applied to the alpha imaging detector. The spatial resolution of the resultant image was improved by approximately 12% using four images. Overall, the study's outcomes demonstrate the feasibility of the super-spatial resolution method for the alpha imaging detector. Possible applications of the proposed method include high-resolution imaging for alpha particles of in vitro sliced tissue and pre-clinical biologic assessments for targeted alpha therapy.

임피던스 단층촬영기의 정적 영상 복원 알고리즘 (A STATIC IMAGE RECONSTRUCTION ALGORITHM IN ELECTRICAL IMPEDANCE TOMOGRAPHY)

  • 우응제
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1991년도 춘계학술대회
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    • pp.5-7
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    • 1991
  • We have developed an efficient and robust image reconstruction algorithm for static impedance imaging. This improved Newton-Raphson method produced more accurate images by reducing the undesirable effects of the ill-conditioned Hessian matrix. We found that our electrical impedance tomography (EIT) system could produce two-dimensional static images from a physical phantom with 7% spatial resolution at the center and 5% at the periphery. Static EIT image reconstruction requires a large amount of computation. In order to overcome the limitations on reducing the computation time by algorithmic approaches, we implemented the improved Newton-Raphson algorithm on a parallel computer system and showed that the parallel computation could reduce the computation time from hours to minutes.

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Hemodynamically Induced Aneurysm-mimicking Findings at Anterior Communicating (A-com) Artery Area due to Anatomical Variation on 3D-TOF MRA

  • 강원석;정태섭;심용운;유병규;박인국
    • 대한자기공명의과학회:학술대회논문집
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    • 대한자기공명의과학회 2001년도 제6차 학술대회 초록집
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    • pp.133-133
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    • 2001
  • Purpose: To determine the relationship between anatomical variation at A-com. artery area an hemodynamically induced aneurysm-mimicking findings on 3D-TOF MRA clinically a experimentally. Method: Sixty-two patients who had no aneurysm at A-com artery on DSA were evalua with MRA. MRA was performed with 1.5T MR machine(Vision, Siemens). Scan parameters o MRA included TR/TE/FA=30/6.4/25$\psi$$\circledR$˙¡, 512*192 of matrix with MIP technique. The occurrence of signal defect at shoulder area of bifurcated A-com artery on MRA was evalua for the relationship between the symmetricity of bilateral ACA and the patency of A-c artery. DSA images were acquired at both ICA and VA. To analyze hemodynamical facto of signal defect, experimental studies of MRA and DSA were peformed with elastic silic phantom using conducting pulsatile pump. We also compared the results with those o computational fluid dynamics(CFD).

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자기공명촬영상에서 구한 내부 전류밀도를 이용한 임피던스 단층촬영법 (Impedance Tomography using Internal Current Density Distribution Measured by Nuclear Magnetic Resonance)

  • 이수열;우응제;문치웅
    • 대한의용생체공학회:의공학회지
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    • 제15권4호
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    • pp.413-418
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    • 1994
  • In electrical impedance tomography (EIT), we use boundary current and voltage measurements to provide the information about the cross-sectional distribution of electrical impedance or resistivity One of the major problems in EIT has been the inaccessibility of internal voltage or current data in finding the internal impedance values. We propose a new image reconstruction method using internal current density data measured by NMR. We obtained a two-dimensional current density distribution within a phantom by processing the real and imaginary MR images from a 4.7T NMR machine. We implemented a resistivity image reconstruction algorithm using the finite element method and sensitivity matrix. We presented computer simulation results of the image reconstruction algorithm and furture direction of the research.

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CT 영상 재구성의 공간분해능에 대한 영향 (Influence of CT Reconstruction on Spatial Resolution)

  • 천권수
    • 한국방사선학회논문지
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    • 제12권1호
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    • pp.85-91
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    • 2018
  • 전산화단층촬영기법은 투영 영상을 재구성하여 단면 영상을 획득하는 기법으로 다양한 분야에 적용되고 있다. 재구성된 영상의 공간분해능은 장치, 대상, 재구성 과정에 의존한다. 본 논문은 평행빔 구조에서 투영 영상의 개수 및 검출기의 픽셀 크기가 재구성된 영상의 공간분해능에 미치는 영향을 조사하였다. 재구성 프로그램은 Visual C++로 작성하였으며 단면 영상은 $512{\times}512$ 크기로 하였다. 공간분해능의 특성을 평가하기 위해 수학적 막대 팬텀을 구성하였고, Min-Max 방법을 도입하였다. 재구성에 사용되는 투영의 개수가 작은 경우 허상이 나타났으며 Min-Max도 낮았다. 투영의 개수를 지속적으로 증가시키면 재구성된 영상의 공간분해능을 나타내는 Min-Max는 상향 포화되었다. 검출기의 픽셀 크기를 재구성되는 단면 영상의 픽셀 크기의 50%로 줄이면 영상은 거의 완벽하게 복원되고, 검출기픽셀 크기가 증가할수록 Min-Max는 감소하였다. 본 연구는 CT장치 설계 시 요구되는 공간분해능을 달성하기 위해 필요한 검출기 및 회전 스테이지의 정밀도를 결정하는데 도움이 될 것이다.

1.0Tesla 자기공명 영상장치에서의 분광영상기법에 관한 연구 (Spectroscopic Imaging at 1.0Tesla MR Unit)

  • 이윤;류택현;오창현;안창범;이흥규;조장희
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.517-527
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    • 1997
  • Magnetic Resonance Spectroscopic Imaging is a methodology combining the imaging and spectroscopy. It can provide the spectrum of each areas of image so that one can easily compare the spectrum of one position to another position of the image. In this study, we developed pulse sequence or the spectroscopic imaging method, RF wave forms or the saturation of water signal, computer simulations to validate our method, and confirmed the methodology with phantom experiment. Then we applied the spectroscopic method to human subject and identified a few important metabolites in in vivo. To develope a water saturating RF waveform, we used Shinnar-Le-Roux algorithm and obtained maximum phase RF waveform. With this RF pulse, it could suppress the water signal to 1:1000. The magnet is shimmed to under 1.0ppm with auto-shimming technique. The saturation bandwidth is 80Hz(2ppm). The water and fat seperation is 3.3ppm(about 140Hz at 1 Tesla magnet), the bandwidth is enough to resolve the difference. But we are more concerned about the narrow window in between the two peaks, in which the small quantity of metabolites reside. We performed the computer simulation and phantom experiments in 8*8 matrix form and showed good agreement in the image and spectrum. Finally we applied spectroscopic imaging to the brain of human subject. Only the lipid signal was shown in the periphery region which agrees with the at distribution in human head surface area. The spectrum inside the brain shows the important metabolites such as NAA, Cr/PCr, Choline. We here have shown the spectroscopic imaging which is normally done above 1.5 Tesla machine can be performed in the 1 Tesla Magnetic Resonance Imaging Unit.

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4.7T 고자장 초전도 자석에서 Tailored RF를 이용한 고양이 뇌의 자화율 강조영상법에 의한 자기공명혈관 조영술 (Susceptibility-Contrast-Enhanced MR Venography of Cat Brain Using Tailored RF Pulse at High Magnetic Field of 4.7 Tesla Superconducting Magnet)

  • 문치웅;김상태;이대근;임태환;노용만;조장희;이윤
    • 한국의학물리학회지:의학물리
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    • 제5권1호
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    • pp.55-66
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    • 1994
  • 4.7T의 고자장 자기공명 영상(Magnetic Resonance imaging : MRI) 장치에서 Tailored RF 경사자계반향(Tailored RF Gradient-Echo : TRGE)기법을 이용하여 phantom 영상과 고양이 뇌의 정맥혈관 영상을 얻었다. 증류수에 MgCl$_2$를 섞어 T1을 짧게한 지름 6cm의 원통형 phantom으로 TRGE기법에 대한 검증을 먼저 하였다. 이후 halothane으로 전신 마취된 몸무게 3.0~4.0kg의 고양이 뇌로부터 얻은 시단면(sagittal slice) 영상에서 Dorsal sagittal sinus, Straight sinus, Vein of corpus callosum과 Internal cerebral vein등의 혈관이 강조되어 나타남을 고양이 뇌의 해부학적 그림과 비교해 보였다. Tailored RF 파형은 ASPECT 3000 computer(스위스 BRUKER사 제품)의 PASCAL 언어를 이용하여 제작하였다. 사각형의 절편모양(slice profile)과 원하는 절편의 두께(slice thickness)에 선택절편내에서 절편방향으로 위상분포가 최대 2$\pi$가 되는 bi-linear ramp 모양을 갖는 절편함수를 공간상에서 Fourier 변환시켜 Tailored RF를 만들었다. TR/TE=205/10 msec, 절편두께 TH=7mm, 화소배열수(matrix size)=256$\times$256, 평면해상도(in-plane resolution)=0.62$\times$0.31mm$^2$, 관심영역 크기(field of view : FOV)=8cm의 영상조건으로 자기공명 TRGE 영상을 얻었다.

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A-Se 기반 디지털 X-선 영상장치의 Contrast-detail 특성 평가 (Evaluation of Contrast-detail Characteristics of an A-Se Based Digital X-ray Imaging System)

  • 현혜경;박소현;김근영;조희문;조효성
    • 한국방사선학회논문지
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    • 제1권1호
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    • pp.11-16
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    • 2007
  • 본 연구에서는 a-Se 기반 디지털 X-선 영상장치의 저대조도 특성을 평가하기 위하여 contrast-detail 곡선 해석을 수행하였다. 본 실험에 사용된 X-선 영상장치는 픽셀크기가 $139mm{\times}139mm$이고 유효면적이 $46.7cm{\times}46.7cm$인 a-Si TFT 기판 위에 500mm 두께의 광전도체가 코팅된 구조를 갖고 있다. Contrast-detail 곡선을 측정하기 위하여 우선 주어진 촬영조건(즉, 40, 50, 60, 70, 80 kVp, and 16 mA.s)에서 상용 팬톰인 CDRAD 2.0을 사용하여 X-선 영상을 획득한 후, 그 영상으로부터 IQFinv 인자를 사용하여 그 특성을 최종 평가하였다. 평가된 IQFinv 값은 주어진 광 플루언스(즉, $1.8{\times}105$, $5.9{\times}105$, $11.3{\times}105$, $19.4{\times}105$, and $29.4{\times}105$ photons/$mm^2$)에서 각각 24.4, 35.3, 39.2, 41.5, 43.4으로 광 플루언스가 증가할수록 점진적으로 증가하였으며 이는 광 플루언스가 증가할수록 영상의 가독성이 향상됨을 나타낸다.

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Studies on the Ability to Detect Lesions According to the Changes in the MR Diffusion Weighted Images

  • Kim, Chang-Bok;Cho, Jae-Hwan;Dong, Kyung-Rae;Chung, Woon-Kwan
    • Journal of Magnetics
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    • 제17권2호
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    • pp.153-157
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    • 2012
  • This study evaluated the ability of Diffusion-Weight Image (DWI), which is one of pulse sequences used in MRI based on the T2 weighted images, to detect samples placed within phantoms according to their size. Two identically sized phantoms, which could be inserted into the breast coil bilaterally, were prepared. Five samples with different sizes were placed in the phantoms, and the T2 weighted images and DWI were obtained. The Breast 2 channel coil of SIEMENS MAGNETOM Avanto 1.5 Tesla equipment was used for the experiments. 2D T2 weighted images were obtained using the following parameters: TR/TE = 6700/74 msec, Thickness/gap = 5/1 mm, Inversion Time (TI) = 130 ms, and matrix = $224{\times}448$. The parameters of DWI were that TR/TE = 8100/90 msec, Thickness/gap = 5/1 mm, matrix = $128{\times}128$, Inversion Time = 185 ms, and b-value = 0, 100, 300, 600, 1000 s/mm. The ratio of the sample volume on DWI compared to the T2 weighted images, which show excellent ability to detect lesions on MR images, was presented as the mean b-value. The measured b-value of the samples was obtained: 0.5${\times}$0.5 cm=0.33/0.34 square ${\times}$ cm (103%), 1${\times}$1 cm=1.28/1.25 square ${\times}$ cm (102.4%), 1.5${\times}$1.5 cm = 2.28/2.67 square ${\times}$ cm (85.39%), 2${\times}$2 cm=3.56/4.08 square ${\times}$ cm (87.25%), and 2.5${\times}$2.5 cm=7.53/8.77 square ${\times}$ cm (85.86%). In conclusion, the detection ability by the size of a sample was measured to be over 85% compared to T2 weighted image, but the detection ability of DWI was relatively lower than that of T2 weighted image.