• Investigative Magnetic Resonance Imaging
• /
• 제25권4호
• /
• pp.252-265
• /
• 2021

Cardiac magnetic resonance imaging (MRI) serves as a clinical gold-standard non-invasive imaging technique for the assessment of global and regional cardiac function. Conventional cardiac MRI is limited by the long acquisition time, the need for ECG gating and/or long breathhold, and insufficient spatiotemporal resolution. Real-time cardiac cine MRI refers to high spatiotemporal cardiac imaging using data acquired continuously without synchronization or binning, and therefore of potential interest in overcoming the limitations of conventional cardiac MRI. Novel acquisition and reconstruction techniques must be employed to facilitate real-time cardiac MRI. The goal of this study is to discuss methods that have been developed for real-time cardiac MRI. In particular, we classified existing techniques into two categories based on the use of non-iterative and iterative reconstruction. In addition, we present several research trends in this direction, including deep learning-based image reconstruction and other advanced real-time cardiac MRI strategies that reconstruct images acquired from real-time free-breathing techniques.

• 전자공학회논문지B
• /
• 제33B권12호
• /
• pp.62-70
• /
• 1996

Image restoration is the process which estimates the original image form the blurred image observed by the non-ideal imaging system with additivenoise. According to the regularized approach, the resotred image can be obtained by iterative methods or the constrained least square error(CLS) filter. Among those retoratin methods, despite of many advantages, iterative iamge restoration is limited in use because of slow convergence. In the present paper, fast iterative image restoration algorithms based on preconditoning are proposed. The preconditioner can be obtained by using the characteristics finite impulse response (FIR) filter structure.

• 대한수학회지
• /
• 제55권3호
• /
• pp.719-734
• /
• 2018

An image restoration problem with Poisson noise arises in many applications of medical imaging, astronomy, and microscopy. To overcome ill-posedness, Total Variation (TV) model is commonly used owing to edge preserving property. Since staircase artifacts are observed in restored smooth regions, higher-order TV regularization is introduced. However, sharpness of edges in the image is also attenuated. To compromise benefits of TV and higher-order TV, the weighted sum of the non-convex TV and non-convex higher order TV is used as a regularizer in the proposed variational model. The proposed model is non-convex and non-smooth, and so it is very challenging to solve the model. We propose an iterative reweighted algorithm with the proximal linearized alternating direction method of multipliers to solve the proposed model and study convergence properties of the algorithm.

• Journal of electromagnetic engineering and science
• /
• 제12권1호
• /
• pp.128-134
• /
• 2012

In this manuscript, we consider electromagnetic imaging of perfectly conducting cracks completely hidden in a homogeneous material via boundary measurements. For this purpose, we carefully derive a topological derivative formula based on the asymptotic expansion formula for the existence of a perfectly conducting inclusion with a small radius. With this, we introduce a topological derivative based imaging algorithm and discuss its properties. Various numerical examples with noisy data show the effectiveness and limitations of the imaging algorithm.

• Journal of electromagnetic engineering and science
• /
• 제11권1호
• /
• pp.56-61
• /
• 2011

In this paper, we consider the topological derivative concept for developing a fast imaging algorithm of thin inclusions with dielectric contrast with respect to an embedding homogeneous domain with a smooth boundary. The topological derivative is evaluated by applying asymptotic expansion formulas in the presence of small, perfectly conducting cracks. Through the careful derivation, we can design a one-iteration imaging algorithm by solving an adjoint problem. Numerical experiments verify that this algorithm is fast, effective, and stable.

• 한국기계가공학회지
• /
• 제21권8호
• /
• pp.32-42
• /
• 2022

Asymptotic tracking of a non-minimum phase nonlinear system has been a popular topic in control theory and application. In this paper, we propose a new control scheme to achieve asymptotic output tracking in anon-minimum phase nonlinear system for periodic trajectories through an iterative learning control with the stable inversion. The proposed design method is robust to parameter uncertainties and periodic external disturbances since it is based on iterative learning. The performance of the proposed algorithm was demonstrated through the simulation results using a typical non-minimum nonlinear system of an inverted pendulum on a cart.

• 한국전자파학회논문지
• /
• 제23권1호
• /
• pp.96-100
• /
• 2012

정 자장($B_0$)의 세기가 7 T(Tesla) 또는 9.4 T 고자기장 MRI(Magnetic Resonance Imaging) 시스템은 정 자장의 세기가 1.5 T 또는 3 T MRI(Magnetic Resonance Imaging) 시스템에 비하여 인가된 RF(Radio Frequency) 필드의 높은 불균질성을 보여준다. 다채널(multi-channel) RF 코일에서는 인가된 RF 자장($B_1^+$)의 불균질성을 개선시키기 위해서 각각의 코일 소자(element)에 인가되는 전류의 크기와 위상을 독립적으로 조절할 수 있다. 선택된 관심 영역에서의 RF 자장이 균일하도록 RF 코일의 각 요소로 들어가는 최적화된 전류의 크기와 위상 값을 얻기 위해서 iterative 방법과 함께 convex 최적화 방법이 사용된다. 이러한 방법을 입증하기 위하여 9.4 T MRI 시스템에 RF 코일의 공진 주파수가 400 MHz을 가지는 다채널 전송 선로 코일이 인체 두상 모형과 함께 모델링되었으며, 이 코일에 의하여 자장이 얻어진다. 9.4 T MRI 시스템을 위한 시뮬레이션 결과가 자세히 논의된다.

• 방송공학회논문지
• /
• 제10권2호
• /
• pp.238-246
• /
• 2005

본 논문에서는 공간 적응적 제약조건과 정칙화 함수를 이용한 반복적 고해상도 영상보간 기법을 제안한다. 제안된 정칙화 영상보간 알고리듬은 에지 방향에 따라 제약조건들을 적응적으로 적용하고, 각각의 반복 연산 단계에서 에지 방향별 정칙화에 적합한 정칙화 함수를 최적화하여 고해상도 영상보간을 구현한다. 제안한 알고리즘은 기존의 비적응적 정칙화 보간 방법뿐만 아니라 적응적 보간 방법보다도 방향성 고주파 성분을 적절히 보존하는 동시에 잡음과 같은 바람직하지 못한 효과들을 억제할 수 있다. 마지막으로 본 논문에서 제안한 알고리듬의 성능평가를 위해서 기존에 제안된 여러 가지의 고해상도 영상보간 알고리듬과의 다양한 비교실험을 수행하였고, 이를 통하여 제안한 고해상도 영상보간 기법이 주관적으로나 객관적으로 우수함을 보였다.

• 전자공학회논문지SC
• /
• 제43권5호
• /
• pp.68-79
• /
• 2006

ECT는 측정된 커패시턴스 값을 이용하여 유전 물체의 유전율 분포를 가시화하기 위해 사용되는 비접촉 영상 복원 기술이다. 영상 복원시 수렴 속도 개선과 영상의 질 향상을 위해 다양한 반복적 영상 복원 방법들이 있으며, Landweber 방법은 널리 사용되고 있는 ECT의 영상 복원 방법 중 하나이다. 본 논문에서는 ECT 영상 복원에서 수렴 속도를 개선하기 위해 수정된 generalized Landweber 방법을 제안한다. 특히, Shaping 행렬을 가지는 generalized Landweber 방법에 가속항을 추가하고 최적화 계수를 해석적으로 결정한다. 다양한 컴퓨터 모의 실험을 통해 제안한 방법의 타당성을 입증한다.

• Journal of Radiation Protection and Research
• /
• 제45권1호
• /
• pp.35-44
• /
• 2020

Background: Cadmium zinc telluride (CZT) is a promising material because of a high detection efficiency, good energy resolution, and operability at room temperature. However, the cost of CZT dramatically increases as its size increases. In this study, to achieve a large effective volume with relatively low cost, an array structure comprised of individual virtual Frisch-grid CZT detectors was proposed. Materials and Methods: The prototype consisted of 2 × 2 CZTs, a holder, anode and cathode printed circuit boards (PCBs), and an application-specific integrated circuit (ASIC). CZTs were used and the non-contacting shielding electrode method was applied for virtual Frisch-grid effect. An ASIC was used, and the holder and the PCBs were fabricated. In the current system, because the CZTs formed a common cathode, a total of 5 channels were assigned for data processing. Results and Discussion: An experiment using ¹³⁷Cs at room temperature was conducted for 10 minutes. Energy and timing information was acquired and the depth of interaction was calculated by the timing difference between the signals of both electrodes. Based on obtained three-dimensional position information, the energy correction was carried out, and as a result the energy spectra showed the improvements. In addition, a Compton image was reconstructed using the iterative method. Conclusion: The virtual Frisch-grid CZT detector based on the array structure was developed and the energy spectra and the Compton image were successfully acquired.