• Title/Summary/Keyword: image artifact

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Assessment of Magnetic Resonance Image Quality For Ferromagnetic Artifact Generation: Comparison with 1.5T and 3.0T. (강자성 인공물 발생에 대한 자기공명영상 질 평가: 1.5T와 3.0T 비교)

  • Goo, Eun-Hoe
    • Journal of the Korean Society of Radiology
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    • v.12 no.2
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    • pp.193-199
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    • 2018
  • In this research, 15 patients were diagnosed with 1.5T and 3.0T MRI instruments (Philips, Medical System, Achieva) to minize Ferromagnetic artifact and find the optimized Tesla. Based on the theory that the 3.0T, when compared to 1.5T, show relatively high signal-to-ratio(SNR), Scan time can be shortened or adjust the image resolution. However, when using the 3.0T MRI instruments, various artifact due to the magnetic field difference can degrade the diagnostic information. For the analysis condition, area of interest is set at the background of the T1, T2 sagittal image followed by evaluation of L3, L4, L5 SNR, length of 3 parts with Ferromagnetic artifact, and Histogram. The validity evaluation was performed by using the independent t test. As a result, for the SNR evaluation, mere difference in value was observed for L3 between 1.5T and 3.0T, while big differences were observed for both L4, and L5(p<0.05). Shorter length was observed for the 1.5T when observing 3 parts with Ferromagnetic artifact, thus we can conclude that 3.0T can provide more information on about peripheral tissue diagnostic information(p<0.05). Finally, 1.5T showed higher counts values for the Histogram evaluation(p<0.05). As a result, when we have compared the 1.5T and 3.0T with SNR, length of Ferromagnetic artifact, Histogram, we believe that using a Low Tesla for Spine MRI test can achieve the optimal image information for patients with disk operation like PLIF, etc. in the past.

Motion Artifact Reduction Algorithm for Interleaved MRI using Fully Data Adaptive Moving Least Squares Approximation Algorithm (완전 데이터 적응형 MLS 근사 알고리즘을 이용한 Interleaved MRI의 움직임 보정 알고리즘)

  • Nam, Haewon
    • Journal of Biomedical Engineering Research
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    • v.41 no.1
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    • pp.28-34
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    • 2020
  • In this paper, we introduce motion artifact reduction algorithm for interleaved MRI using an advanced 3D approximation algorithm. The motion artifact framework of this paper is data corrected by post-processing with a new 3-D approximation algorithm which uses data structure for each voxel. In this study, we simulate and evaluate our algorithm using Shepp-Logan phantom and T1-MRI template for both scattered dataset and uniform dataset. We generated motion artifact using random generated motion parameters for the interleaved MRI. In simulation, we use image coregistration by SPM12 (https://www.fil.ion.ucl.ac.uk/spm/) to estimate the motion parameters. The motion artifact correction is done with using full dataset with estimated motion parameters, as well as use only one half of the full data which is the case when the half volume is corrupted by severe movement. We evaluate using numerical metrics and visualize error images.

Algorithm to prevent Block Discontinuity by Overlapped Block and Manning Window (중첩 기반 연산과 Hanning Window를 이용한 블록 불연속 노이즈 방지 알고리즘)

  • Kim, Joo-Hyun;Jang, Won-Woo;Park, Jung-Hwan;Yang, Hoon-Gee;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.9
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    • pp.1650-1657
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    • 2007
  • In this paper, we propose an Overlapped Block and an Hanning Window to prevent a Block Discontinuity when we use an algorithm to eliminate ringing artifact which is based on a block structure. The algorithm to eliminate ringing artifact operates with a block structure and 24-RGB data and is based on a modified K-means algorithm. The proposed overlapped block method is piled up one on another per an half of the size of unit-block when an input image is split into several unit-blocks. Therefore, we define a data unit as the unit-block of the block size, $16{\times}16$ pixels. We reconstruct the processed data units into the original form of input image by using an isotropic form of Hanning Window. Finally, in order to evaluate the performance of the abovementioned algorithms, we compare three image, an input image with ringing artifact, an image result obtained by conventional method (non-overlapped), and an image result obtained the proposed method.

Image Correction Method for Segmented Linear Detector (모듈로 구성된 선형 검출기의 영상보정 방법)

  • Chon, Kwon-Su;Oh, Suk-Sim;Jin, Wang-Youn
    • Journal of the Korean Society of Radiology
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    • v.16 no.2
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    • pp.163-168
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    • 2022
  • Linear detectors composed of several modules have been widely used in industrial in-line inspection. Two dimensional image obtained from the linear detector shows line artifact at the connection part of each module. In this study, we proposed a method to remove the line artifact using the flat-field correction and a wedge phantom image. Conventional flat-field correction has been applied to remove the artifact, however there are still line artifacts even after applying correction. It was found that two edge pixels at the connection part of two modules were over-corrected after the flat-field correction. Those edge pixels was corrected by using the correction factor obtained from an image of the wedge phantom, and images removed line artifacts were obtained. It is necessary to improve the method obtained manually the correction factor from the image of the wedge phantom.

Cancellation of MRI Motion Artifact in Image Plane

  • Kim Eung-Kyeu
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.1
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    • pp.49-57
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    • 2000
  • In this study, a new algorithm for canceling a MRI artifact due to the translational motion In the image plane is described. Unlike the conventional iterative phase retrieval algorithm, in which there is no guarantee for the convergence, a direct method for estimating the motion is presented. In previous approaches, the motions in the x(read out) direction and the y(phase encoding) direction were estimated simultaneously. However, the feature of x and y directional motions are different from each other. By analyzing their features, each x and y directional motion is canceled by the different algorithms in two steps. First, it is noticed that the x directional motion corresponds to a shift of the x directional spectrum of the MRI signal, and the non-zero area of the spectrum just corresponds to the projected area of the density function on the x axis. So the motion is estimated by tracing the edges between non-zero area and zero area of the spectrum, and the x directional motion is canceled by shifting the spectrum in an reverse direction. Next, the y directional motion is canceled by using a new constraint condition, with which the motion component and the true image component can be separated. This algorithm is shown to be effective by using a phantom image with simulated motion.

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Cancellation of MRI Artifact due to Rotational Motion (회전운동에 기인한 MRI 아티팩트의 제거)

  • 김응규
    • Journal of KIISE:Software and Applications
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    • v.31 no.4
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    • pp.411-419
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    • 2004
  • When the imaging object rotates in image plane during MRI scan, its rotation causes phase error and non-uniform sampling to MRI signal. The model of the problem including phase error non-uniform sampling of MRI signal showed that the MRI signals corrupted by rotations about an arbitrary center and the origin in image plane are different in their phases. Therefore the following methods are presented to improve the quality of the MR image which includes the artifact. The first, assuming that the angle of 2-D rotational motion is already known and the position of 2-D rotational center is unknown, an algorithm to correct the artifact which is based on the phase correction is presented. The second, in case of 2-D rotational motion with unknown rotational center and unknown rotational angle, an algorithm is presented to correct the MRI artifact. At this case, the energy of an ideal MR image is minimum outside the boundary of the imaging object to estimate unknown motion parameters and the measured energy increases when the imaging object has an rotation. By using this property, an evaluation function is defined to estimate unknown values of rotational angle at each phase encoding step. Finally, the effectiveness of this presented techniques is shown by using a phantom image with simulated motion and a real image with 2-D translational shift and rotation.

A Study on the Image Change Using Twinkle Artifact Images and Phantom according to Calcification-Inducing Environment in Breast Ultrasonography (유방 초음파 검사에서 석회화 유발 환경에 따른 반짝 허상과 팸텀을 활용한 영상 변화에 관한 연구)

  • Cheol-Min Jeon
    • Journal of the Korean Society of Radiology
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    • v.17 no.5
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    • pp.751-759
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    • 2023
  • Breast ultrasonography is difficult to image in fatty breasts and to find micro-calcification, but the discovery of micro-calcification is very important for breast cancer screening. Among the color Doppler artifact of ultrasound, twinkle artifact mainly occur on strong reflectors such as stones or calcification in images, and evaluation methods using them are clinically being used. In this study, we are conducting experiments on the color Doppler settings of ultrasound equipment, such as repetition frequency, ensemble, persist, wall filtering, smoothing, linear density, and dissociation value, by producing a breast simulation phantom using the largest amount of calcium phosphate among breast implants. The purpose of this study was to improve the contrast of twinkle artifact in breast ultrasound examinations and to maximize their use in clinical practice. As a result, the pulse repetition frequency occurred in the range of 3.6 kHz to 7.2 kHz, and did not occur above 10.5 kHz. For ensembles, twinkle artifact occurred in all sizes of calcification under low conditions, and in threshold settings, the twinkle artifact increased slightly only under 80 to 100 conditions, and did not occur in 1 mm size calcification. Persist, wall filter, smoothing, and line density settings did not have much meaning in the setting variable because conditions did not increase by condition, and pulse repetition frequency, ensemble, and thresholds had the greatest impact on the twinkling artifact image. This study is expected to help examiners select optimal conditions to effectively increase twinkle artifact by adjusting color Doppler settings.

An Image Enhancement Algorithm for Panoramic Infrared Images (파노라믹 적외선 영상에서의 영상 향상 기법)

  • 김영춘;이종원;김병주;권기구;김기홍;신용달;안상호
    • Journal of Korea Multimedia Society
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    • v.6 no.6
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    • pp.977-984
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    • 2003
  • In this paper, we propose an image enhancement algorithm for panoramic infrared image. This method divides a panoramic infrared image into disjoint subimages and performs the contrast stretch for subimages using statistical characteristics of each subimage. But these cause blocking artifact in boundary regions of neighboring subimages which different to the statistical characteristic. To remove blocking artifact, we perform the contrast stretch for subimage's boundary regions using statistical characteristics of horizontally neighboring subimages. Experimental results show that the proposed method effectively improves their appearance to human viewers.

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Color Image Compensation Method using Advanced Image Formation Model and Adaptive Filter (개선된 영상생성 모델과 적응적 필터를 이용한 칼라 영상 보정방법)

  • Choi, Ho-Hyung;Yun, Byoung-Ju
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.10-18
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    • 2009
  • Color rendition method is necessary for improving the low contrast images which are achieved by PDA, mobile phone camera or PC camera. There are some methods for color rendition. However, after correcting the color, image quality degradations, such as graying-out, halo-artifact and color noise, may occur. In order to overcome these problems, this paper proposes a retinex-based color rendition method. The proposed method uses the HSV color coordinate system to avoid the graying-out, and the advanced image formation model to reduce the halo-artifact in which the image is divided into three components as the global illumination, the local illumination, and reflectance. The experiment results show that the proposed method yields better performance of color correction over the conveniently method.

Adaptive Unsharp Masking Filter Design Based on Multi-Scale Retinex for Image Enhancement (영상의 화질 개선을 위한 Multi-Scale Retinex 기반의 적응적 언샤프 마스킹 필터 설계)

  • Kim, Ju Young;Kim, Jin Heon
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.108-116
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    • 2018
  • In this paper, we propose an image enhancement method based on Multi-Scale Retinex theory that designs Unsharp Masking Filter (UMF) and emphasizes the contrast ratio adaptively. Unsharp Masking (UM) technique emphasizes image sharpness and improves contrast ratio by adding high frequency component to the original image. The high frequency component is obtained by differentiating between original image and low frequency image. In this paper, we present how to design an UMF kernel and to adaptively apply it to increase the contrast ratio according to multi-scale retinex theory which resembles human visual system. Experimental results show that the proposed method has better quantitative performance indexes such as PSNR, ambe & SSIM and better qualitative feature like halo artifact suppression.