• Title/Summary/Keyword: quantitative image analysis

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Objective and Quantitative Evaluation of Image Quality Using Fuzzy Integral: Phantom Study (퍼지적분을 이용한 영상품질의 객관적이고 정량적 평가: 팬톰 연구)

  • Kim, Sung-Hyun;Suh, Tae-Suk;Choe, Bo-Young;Lee, Hyoung-Koo
    • Progress in Medical Physics
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    • v.19 no.4
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    • pp.201-208
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    • 2008
  • Physical evaluations provide the basis for an objective and quantitative analysis of the image quality. Nonetheless, there are limitations in using physical evaluations to judge the utility of the image quality if the observer's subjectivity plays a key role despite its imprecise and variable nature. This study proposes a new method for objective and quantitative evaluation of image quality to compensate for the demerits of both physical and subjective image quality and combine the merits of them. The images of chest phantom were acquired from four digital radiography systems on clinic sites. The physical image quality was derived from an image analysis algorithm in terms of the contrast-to-noise ratio (CNR) of the low-contrast objects in three regions (lung, heart, and diaphragm) of a digital chest phantom radiograph. For image analysis, various image processing techniques were used such as segmentation, and registration, etc. The subjective image quality was assessed by the ability of the human observer to detect low-contrast objects. Fuzzy integral was used to integrate them. The findings of this study showed that the physical evaluation did not agree with the subjective evaluation. The system with the better performance in physical measurement showed the worse result in subjective evaluation compared to the other system. The proposed protocol is an integral evaluation method of image quality, which includes the properties of both physical and subjective measurement. It may be used as a useful tool in image evaluation of various modalities.

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Preliminary semi-quantitative evaluation of developed latent fingerprints on non-porous surface with natural powders using a densitometric image analysis (비 다공성 표면에서 천연분말로 현출된 잠재지문의 농도계 이미지분석을 이용한 예비적인 반 정량적 평가)

  • Kim, Eun-Mi;Heo, Bo-Reum;Ok, Yun-Seok;Kim, Jin-Kyung;Joung, In-Nam;Choi, Sung-Woon
    • Analytical Science and Technology
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    • v.29 no.6
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    • pp.283-292
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    • 2016
  • Conventional fingerprint powders used during crime scene investigations pose potential health hazards. Thus, multiple natural replacement powders, including squid ink powder, indigo and rice powder were used to develop (visualize) latent fingerprints on non-porous surfaces (e.g., glass, plastic and tile). Fingerprints developed using the natural powders were compared using the Automatic Fingerprint Identification System (AFIS) with those developed with traditional black powder. The peak areas of ridges were also compared using densitometric image analyses. Collectively, objective and quantitative evaluation methods were developed. The effectiveness of natural powders varied depending on the surface but, in general, squid ink powder performed well on most surfaces. Indigo powder performed well on tile surfaces, while rice powder performed well on glass surfaces. Plastic was the most difficult surface from which to develop fingerprints. Image analysis using Field Emission Scanning Electron Microscopy (SEM) demonstrated the importance of the size and shape of natural powder particles to properly adhere to the ridges. Although densitometric image analyses did not correlate the number of minutiae and ridge peak areas, an unbiased, objective evaluation method would be possible using image analyses with a reference image. Additional experimentation will yield safe and cost-effective natural powders with which adequate fingerprint development can be performed.

Comparison of Image Fusion Methods to Merge KOMPSAT-2 Panchromatic and Multispectral Images (KOMPSAT-2 전정색영상과 다중분광영상의 융합기법 비교평가)

  • Oh, Kwan-Young;Jung, Hyung-Sup;Lee, Kwang-Jae
    • Korean Journal of Remote Sensing
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    • v.28 no.1
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    • pp.39-54
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    • 2012
  • The objective of this study is to propose efficient data fusion techniques feasible to the KOMPSAT-2 satellite images. The most widely used image fusion techniques, which are the high-pass filter (HPF), the intensity-hue-saturation-based (modified IHS), the pan-sharpened, and the wavelet-based methods, was applied to four KOMPSAT - 2 satellite images having different regional and seasonal characteristics. Each fusion result was compared and analyzed in spatial and spectral features, respectively. Quality evaluation of image fusion techniques was performed in both quantitative and visual analysis. The quantitative analysis methods used for this study were the relative global dimensional error (spatial and spectral ERGAS), the spectral angle mapper index (SAM), and the image quality index (Q4). The results of quantitative and visual analysis indicate that the pan-sharpened method among the fusion methods used for this study relatively has the suitable balance between spectral and spatial information. In the case of the modified IHS method, the spatial information is well preserved, while the spectral information is distorted. And also the HPF and wavelet methods do not preserve the spectral information but the spatial information.

Correlatin between the Microstructure and the Electrical Conductivity of SOFC anode, Ni-YSZ : I. Microstructure Analysis (SOFC 음극용 Ni-YSZ 복합체의 미세구조와 전기적 물성간의 상관관계 : I. 미세구조 분석)

  • Moon, Hwan;Lee, Hae-Weon;Lee, Jong-Ho;Yoon, Ki-Hyun
    • Journal of the Korean Ceramic Society
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    • v.37 no.5
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    • pp.479-490
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    • 2000
  • The microstructure of Ni-YSZ composite as an anode of SOFC was investigated as a function of Ni content(10-70 vol%) in order to examine the correlation between microstructural-and electrical property. Image analysis based on quantitative microscopy theory was performed to quantify the microstructural property. We could get the informations about the size and distribution, contiguity and interfacial area of each phase or between the phases from the image analysis. According to the image analysis, contiguity between the same phae was mainly dependent on the amount of the phase while the contiguity between different phases was additionally influenced by the microstructural changes, especailly by the coarsening of the Ni phase. The whole length of pores perimeter was increased as Ni content increased, which indicated the overall microstructural evolution was mostly related with the coarsening of Ni phase. Ni-Ni interfacial area was also gradually increased as Ni content increased but controlled by pore phase at low Ni content region and by YSZ phase at intermediate Ni content region. These quantified microstructural properties were used to characterize the electrical properties of Ni-YSZ composite.

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Circular Fast Fourier Transform Application: A Useful Script for Fast Fourier Transform Data Analysis of High-resolution Transmission Electron Microscopy Image

  • Kim, Jin-Gyu;Yoo, Seung Jo;Kim, Chang-Yeon;Jou, Hyeong-Tae
    • Applied Microscopy
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    • v.44 no.4
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    • pp.138-143
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    • 2014
  • Transmission electron microscope (TEM) is an excellent tool for studying the structure and properties of nanostructured materials. As the development of $C_s$-corrected TEM, the direct analysis of atomic structures of nanostructured materials can be performed in the high-resolution transmission electron microscopy (HRTEM). Especially, fast Fourier transform (FFT) technique in image processing is very useful way to determine the crystal structure of HRTEM images in reciprocal space. To apply FFT technique in HRTEM analysis in more reasonable and friendly manner, we made a new circular region of interest (C-ROI) FFT script and tested it for several HRTEM analysis. Consequentially, it was proved that the new FFT application shows more quantitative and clearer results than conventional FFT script by removing the streaky artifacts in FFT pattern images. Finally, it is expected that the new FFT script gives great advantages for quantitative interpretation of HRTEM images of many nanostructured materials.

The quantitative analysis of Diffusion Weighted Imaging in Breast MRI (유방 MRI 검사에서 확산강조영상의 정량적 분석)

  • Cho, Jae-Hwan;Kim, Hyeon-Ju;Hong, Yin-Sik;Lee, Hae-Kag
    • Journal of the Korean Society of Radiology
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    • v.5 no.3
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    • pp.149-154
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    • 2011
  • The purpose of this study was to examine the usefulness of diffusion weighted images in breast MRI by performing a quantitative comparative analysis in patients diagnosed with DCIS. On a 3.0T MR scanner, diffusion weighted images and ADC map images were obtained from 20 patients histologically diagnosed with ductal carcinoma in situ (DCIS). The findings from the quantitative image analysis are the following: The diffusion weighted images showed higher SNR and CNR at the lesion area. In addition, the ADC values were lower at the lesion area.

The Digital Image Acquisition of High-resolution by Enhancing the Multiple Images (다중영상 강화에 의한 고해상도 수치영상획득)

  • 강준묵;오원진;엄대용
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.17 no.2
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    • pp.167-176
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    • 1999
  • The study about quantitative or qualitative analysis of object using digital image is being progressed actively with the development of the image medium and image process technique. But, it is very high that the dependency about image acquisition system of high resolution for image analysis of high accuracy and it is a equipment of high-price. In this study, I extracted the optimum condition of image enhancement by analyzing and enhancing the multiple images which were acquired by system of low-price. And I carried out the analysis of 3D accuracy by being applied the optimum condition of image enhancement. In the result of analysis of average 3D positioning error using law image and enhanced image which is acquired by applying the optimum condition of image enhancement, I could obtain the progressed accuracy about 10% on the enhanced image.

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The Generation of SPOT True Color Image Using Neural Network Algorithm

  • Chen, Chi-Farn;Huang, Chih-Yung
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.940-942
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    • 2003
  • In an attempt to enhance the visual effect of SPOT image, this study develops a neural network algorithm to transform SPOT false color into simulated true color. The method has been tested using Landsat TM and SPOT images. The qualitative and quantitative comparisons indicate that the striking similarity can be found between the true and simulated true images in terms of the visual looks and the statistical analysis.

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MR-based Partial Volume Correction for $^{18}$F-PET Data Using Hoffman Brain Phantom

  • Kim, D. H.;Kim, H. J.;H. K. Jeong;H. K. Son;W. S. Kang;H. Jung;S. I. Hong;M. Yun;Lee, J. D.
    • Proceedings of the Korean Society of Medical Physics Conference
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    • 2002.09a
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    • pp.322-323
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    • 2002
  • Partial volume averaging effect of PET data influences on the accuracy of quantitative measurements of regional brain metabolism because spatial resolution of PET is limited. The purpose of this study was to evaluate the accuracy of partial volume correction carried out on $^{18}$ F-PET images using Hoffman brain phantom. $^{18}$ F-PET Hoffman phantom images were co-registered to MR slices of the same phantom. All the MR slices of the phantom were then segmented to be binary images. Each of these binary images was convolved in 2 dimensions with the spatial resolution of the PET. The original PET images were then divided by the smoothed binary images in slice-by-slice, voxel-by-voxel basis resulting in larger PET image volume in size. This enlarged partial volume corrected PET image volume was multiplied by original binary image volume to exclude extracortical region. The evaluation of partial volume corrected PET image volume was performed by region of interests (ROI) analysis applying ROIs, which were drawn on cortical regions of the original MR image slices, to corrected and original PET image volume. From the ROI analysis, range of regional mean values increases of partial volume corrected PET images was 4 to 14%, and average increase for all the ROIs was about 10% in this phantom study. Hoffman brain phantom study was useful for the objective evaluation of the partial volume correction method. This MR-based correction method would be applicable to patients in the. quantitative analysis of FDG-PET studies.

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Quantitative analysis of three dimensional volumetric images in Chest CT (흉부 CT 검사에서 3차원 체적 영상의 정량적 분석)

  • Jang, Hyun-Cheol;Cho, Jae-Hwan;Park, Cheol-Soo
    • Journal of the Korean Society of Radiology
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    • v.5 no.5
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    • pp.255-260
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    • 2011
  • We wanted to evaluate the usefulness of three-dimensional reconstructive images using computed tomography for rib fracture patients. The reconstruction used in clinical multi planar reformation(MPR), volume rendering technique(VRT), and image data using quantitative methods and qualitative methods were compared. Much more, the artifact shadow was minimized to reconstruct with 3D volumetric image by using an law data in the analysis of the reconstructive image and chest CT scan of the evaluation result fractures of the thoracic patient. And we could know that the fractures of the thoracic determination and three dimension volume image reconstruction time were reduced.