• 한국정보통신학회논문지
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• 제16권9호
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• pp.2037-2042
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• 2012

Synthetic aperture 집적 영상 (SAII) 기술은 다수의 카메라를 이용하여 고해상도의 요소 영상을 획득할 수 있는 유망한 3D 이미징 기술이다. 본 논문에서는 SAII 기술을 이용하여 집적 영상 디스플레이를 수행하는 공간 3D 영상을 표시하는 방법을 제안한다. SAII로부터 얻어지는 요소 영상은 직접적으로 공간 3D 영상으로 사용될 수 없기 때문에 깊이 지도를 추출하여 새로운 디스플레이용 요소 영상으로 변환하여 공간 3D 영상을 표시한다. 제안하는 방법의 유용함을 보이기 위해서 장난감 3D 물체를 사용하여 기초적인 실험을 수행하고, 또한 공간 3D 영상이 구현된 실험 결과를 제시한다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1992년도 추계학술대회
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• pp.22-25
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• 1992

화학적 이동성을 이용하여, 생체의 경우 지방질의 영상 혹은 물성분의 영상을 얻을 수 있다. 여러 가지 기술을 사용하여 분리된 성분의 자기공명 영상을 얻었다. Dixon의 방법은 두 번의 영상실험을 하여 지방질 영상과 물성분 영상을 구분할 수 있으며, 부분적 자기장의 불균질성에 영향을 적게 받고 다층 영상법에 용이하게 적용할 수 있다. CHESS와 SECSI 방법은 한번의 영상실험으로 물 또는 지방질 영상을 획득할 수 있다. 그러나 부분적 자기장의 불균질성에 영향을 많이 받으며, 다층영상법에 적용하기에는 어려운 점이 있다. 화학 성분의, 즉 지방질과 물성분의 분리의 척도가 되는 지방질 신호대 물성분신호 비에 있어 SECSI 방법이 가장 우수함을 보였다.

• 대한의용생체공학회:의공학회지
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• 제27권3호
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• pp.110-116
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• 2006

Finite element method (FEM) provides several advantages over other numerical methods such as boundary element method, since it allows truly volumetric analysis and incorporation of realistic electrical conductivity values. Finite element mesh generation is the first requirement in such in FEM to represent the volumetric domain of interest with numerous finite elements accurately. However, conventional mesh generators and approaches offered by commercial packages do not generate meshes that are content-adaptive to the contents of given images. In this paper, we present software that has been implemented to generate content-adaptive finite element meshes (cMESHes) based on the contents of MR images. The software offers various computational tools for cMESH generation from multi-slice MR images. The software named as the Content-adaptive FE Mesh Generation Toolbox runs under the commercially available technical computation software called Matlab. The major routines in the toolbox include anisotropic filtering of MR images, feature map generation, content-adaptive node generation, Delaunay tessellation, and MRI segmentation for the head conductivity modeling. The presented tools should be useful to researchers who wish to generate efficient mesh models from a set of MR images. The toolbox is available upon request made to the Functional and Metabolic Imaging Center or Bio-imaging Laboratory at Kyung Hee University in Korea.

• 대한의용생체공학회:의공학회지
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• 제15권4호
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• pp.377-382
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• 1994

In the conventional Fourier imaging method in MRI (Magnetic Resonance Imaging), intramotion such as pulsatile flow makes zipper-like artifact along the phase encoding direction. On the other hand, line-integral projection reconstruction (LPR) method has advantages such as imaging of short T2, object and reduction of the flow artifact by elimination of the flow-induced phase fluctuation. The LPR, however, necessarily requires time consuming filtering and back-projection processes, so that the reconstruction takes long time. To overcome the long reconstruction time of the LPR and to obtain the flow artifact reduction effect, we adopted phase corrected concentric square raster sampling (CSRS) method and improved its imaging performance. The CSRS is a fast reconstruction method which has the same properties with the LPR. In this paper, we proposed a new method of flow artifact reduction using the CSRS method. Through computer simulations and experiments, we verified that the proposed method can eliminate phase fluctuations, thereby reducing the flow artifact and re- markably shorten the reconstruction time which required long time in the LPR.

• Journal of the Optical Society of Korea
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• 제20권3호
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• pp.381-388
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• 2016

The performance of a staring infrared imaging system can be characterized based on estimating the modulation transfer function (MTF). The slant edge method is a widely used MTF estimation method, which can effectively solve the aliasing problem caused by the discrete undersampling of the infrared focal plane array. However, the traditional slant edge method has some limitations such as the low precision of the edge angle extraction and using the approximate function to fit the edge spread function (ESF), which affects the accuracy of the MTF estimation. In this paper, we propose a modified slant edge method, including an edge angle extraction method that can improve the precision of the edge angle extraction and an ESF fitting algorithm which is based on the transfer function model of the imaging system, to enhance the accuracy of the MTF estimation. This modified slant edge method presents higher estimation accuracy and better immunity to noise and edge angle than other traditional methods, which is demonstrated by the simulation and application experiments operated in our study.

• Nuclear Medicine and Molecular Imaging
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• 제40권4호
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• pp.193-199
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• 2006

Infectious and inflammatory bone diseases include a wide range of disease process, depending on the patient's age, location of infection, various causative organisms, duration from symtom onset, accompanied fracture or prior surgery, prosthesis insertion, and underlying systemic disease such as diabetes, etc. Bone infection may induce massive destruction of bones and joints, results in functional reduction and disability. The key to successful management is early diagnosis and proper treatment. Various radionuclide imaging methods including three phase bone scan, Ga-67 scan, WBC scan, and combined imaging techniques such as bone/Ga-67 scan, WBC/bone marrow scan add complementary role to the radiologic imaging modalities including plain radiography, CT and MRI. F-18 FDG PET imaging also has recently been introduced in diagnosis of infected prosthesis and chronic active osteomyelitis. Selection of proper nuclear medicine imaging method will improve the diagnostic accuracy of infections and inflammatory bone diseases, based on understading of pathogenesis and radiologic imaging findings.

• Journal of Chest Surgery
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• 제52권4호
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• pp.205-220
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• 2019

Near-infrared (NIR) fluorescence imaging provides a safe and cost-efficient method for immediate data acquisition and visualization of tissues, with technical advantages including minimal autofluorescence, reduced photon absorption, and low scattering in tissue. In this review, we introduce recent advances in NIR fluorescence imaging systems for thoracic surgery that improve the identification of vital tissues and facilitate the resection of tumorous tissues. When coupled with appropriate NIR fluorophores, NIR fluorescence imaging may transform current intraoperative thoracic surgery methods by enhancing the precision of surgical procedures and augmenting postoperative outcomes through improvements in diagnostic accuracy and reductions in the remission rate.

• Imaging Science in Dentistry
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• 제50권4호
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• pp.273-279
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• 2020

This review presents an overview of some diagnostic imaging-related issues regarding medication-related osteonecrosis of the jaws(MRONJ), including imaging signs that can predict MRONJ in patients taking antiresorptive drugs, the early imaging features of MRONJ, the relationship between the presence or absence of bone exposure and imaging features, and differences in imaging features by stage, between advanced MRONJ and conventional osteomyelitis, between oncologic and osteoporotic patients with MRONJ, and depending on the type of medication, method of administration, and duration of medication. The early diagnosis of MRONJ can be made by the presence of subtle imaging changes such as thickening of the lamina dura or cortical bone, not by the presence of bone exposure. Most of the imaging features are relatively non-specific, and each patient's clinical findings and history should be referenced. Oral and maxillofacial radiologists and dentists should closely monitor plain radiographs of patients taking antiresorptive/antiangiogenic drugs.

• Korean Journal of Radiology
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• 제22권8호
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• pp.1352-1368
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• 2021

Objective: For an accurate dynamic contrast-enhanced (DCE) MRI analysis, exact baseline T1 mapping is critical. The purpose of this study was to compare the pharmacokinetic parameters of DCE MRI using synthetic MRI with those using fixed baseline T1 values. Materials and Methods: This retrospective study included 102 patients who underwent both DCE and synthetic brain MRI. Two methods were set for the baseline T1: one using the fixed value and the other using the T1 map from synthetic MRI. The volume transfer constant (K^trans), volume of the vascular plasma space (v_p), and the volume of the extravascular extracellular space (v_e) were compared between the two methods. The interclass correlation coefficients and the Bland-Altman method were used to assess the reliability. Results: In normal-appearing frontal white matter (WM), the mean values of K^trans, v_e, and v_p were significantly higher in the fixed value method than in the T1 map method. In the normal-appearing occipital WM, the mean values of v_e and v_p were significantly higher in the fixed value method. In the putamen and head of the caudate nucleus, the mean values of K^trans, v_e, and v_p were significantly lower in the fixed value method. In addition, the T1 map method showed comparable interobserver agreements with the fixed baseline T1 value method. Conclusion: The T1 map method using synthetic MRI may be useful for reflecting individual differences and reliable measurements in clinical applications of DCE MRI.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.5103-5115
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• 2015

In radar imaging, a target is usually consisted of a few strong scatterers which are sparsely distributed. In this paper, an improved sparse signal recovery algorithm based on smoothed l₀ (SL0) norm method is proposed to achieve high resolution ISAR imaging with limited pulse numbers. Firstly, one new smoothed function is proposed to approximate the l₀ norm to measure the sparsity. Then a single loop step is used instead of two loop layers in SL0 method which increases the searching density of variable parameter to ensure the recovery accuracy without increasing computation amount, the cost function is undated in every loop for the next loop until the termination is satisfied. Finally, the new set of solution is projected into the feasible set. Simulation results show that the proposed algorithm is superior to the several popular methods both in terms of the reconstruction performance and computation time. Real data ISAR imaging obtained by the proposed algorithm is competitive to several other methods.