Image Quality Evaluation Method Research Articles

Research on image quality in decision management system and information system framework

With the continuous development of society and the rapid advancement of science and technology, all walks of life are increasingly required to effectively manage their projects or affairs. Decision-making is the basis of project management, and the formation of decisions determines the formulation of corresponding programs, organizations and businesses. Decision-making is generated by decision makers based on the multi-faceted information they have, so decision management systems and information systems are inseparable in the management of projects and transactions. At present, research on decision management systems emphasizes management and decisions, and few researchers combine decision management and related information. In view of the current research deficiencies, and taking into account the needs of various industries for image applications, this paper introduces image quality evaluation methods, and systematically studies the decision management system and information system framework. The experiment part takes the intelligent image recognition and prevention system of citrus pests and diseases as an example, and the role of image quality in decision management system and information system from the perspective of practice. The results show that through the image quality evaluation system, in the identification and prevention of citrus pests and diseases, it can combine various aspects of information to make effective prevention and control decisions. The results show that the introduction of image quality evaluation can improve the comprehensiveness of information system. On this basis, decision-making system can help decision makers make correct decisions quickly and effectively.

The Influence of Different Saliency on Full-Reference Sonar Image Quality Evaluation

With the advent of sonar technology, our understanding of the ocean has become more comprehensive, especially for deep sea biology and geology. However, the sonar image is easily degraded during the underwater acoustic channel acquisition process, which affects the later research work. To this end, this paper compares and analyzes multiple saliency models and combines them with PSNR, SSIM and GSIM to explore an effective sonar image quality evaluation method. Finally, an experimental analysis on the newly established sonar image quality database shows that the difference of the significance model in predicting human attention has a performance gain effect on the image quality evaluation method when fused with the saliency model.

Using the Guided Fireworks Algorithm for Local Backlight Dimming

Local backlight dimming is a promising display technology, with good performance in improving the visual quality and reducing the power consumption of device displays. To set optimal backlight luminance, it is important to design high performance local dimming algorithms. In this paper, we focused on improving the quality of the displayed image, and take local backlight dimming as an optimization problem. In order to better evaluate the image quality, we used the structural similarity (SSIM) index as the image quality evaluation method, and built the model for the local dimming problem. To solve this optimization problem, we designed the local dimming algorithm based on the Fireworks Algorithm (FWA), which is a new evolutionary computation (EC) algorithm. To further improve the solution quality, we introduced a guiding strategy into the FWA and proposed an improved algorithm named the Guided Fireworks Algorithm (GFWA). Experimental results showed that the GFWA had a higher performance in local backlight dimming compared with the Look-Up Table (LUT) algorithm, the Improved Shuffled Frog Leaping Algorithm (ISFLA), and the FWA.

FEATURES OF COMPUTER MODELING AND CALCULATION OF TELESCOPIC SYSTEM ABERRATIONS

The study results of the features of computer modeling and aberrations analysis of afocal systems in comparison with other systems, where the image is located at a finite distance from the optical system are presented, in order to establish a classification approach to the selection of various image quality evaluation methods. The aberration characteristics inherent to afocal systems have been highlighted when they are used as a visual instrument. The criteria for the functionality of application software packages for the aberrations analysis in afocal systems are established. Original methods for estimating image quality in computer modeling are proposed, depending on the type and version of the available software packages for designing optics. It was found that in the software opal and the new versions of the Zemax and Code V is convenient to estimate the results in an angular measure for afocal systems. It was found that those software environments where there is no possibility of establishing the afocality of the optical system, proposed to apply an additional focusing system, to analyze the results of calculation in a linear measure, or to resort to the application of certain criteria, such as the shape of the spot diagram, wave front analysis. It was established, that if required to review the complete behavior of the afocal system, is necessary the correction of the design parameters of the individual optical elements entering the OS, for this purpose, a method of calculating the aberrations of the individual components should be performed. In cases where the aberrations of the optical system are small, it is more convenient to carry out a descriptive analysis of the wave aberrations. The use of the proposed methods was verified by the example of computer simulation of an afocal three-mirror system, calculated for the following optical characteristics: angular field of view 2ω = 1o, entrance pupil diameter D = 500mm and magnificationГ = -4x, which has a stable correction of field aberrations: It was established, that the results of the computerized modeling are in accordance with the methods used, and the methods are consistent with each other.

Measurement of the Uniformity of Thermally Bonded Points in Polypropylene Spunbonded Non-Wovens Using Image Processing and its Relationship With Their Tensile Properties

Abstract This article aims at the image processing of surface uniformity and thermally bonded points uniformity in polypropylene spunbonded non-wovens. The investigated samples were at two different weights and three levels of non-uniformity. An image processing method based on the k-means clustering algorithm was applied to produce clustered images. The best clustering procedure was selected by using the lowest Davies-Bouldin index. The peak signal-to-noise ratio (PSNR) image quality evaluation method was used to choose the best binary image. Then, the non-woven surface uniformity was calculated using the quadrant method. The uniformity of thermally bonded points was calculated through an image processing method based on morphological operators. The relationships between the numerical outcomes and the empirical results of tensile tests were investigated. The results of image processing and tensile behavior showed that the surface uniformity and the uniformity of thermally bonded points have great impacts on tensile properties at the selected weights and non-uniformity levels. Thus, a sample with a higher level of uniformity and, consequently, more regular bonding points with further bonding percentage depicts the best tensile properties.

Objective Evaluation Method of Fusion Image Quality Based on the Completed Local Binary Pattern

Objective Evaluation Method of Fusion Image Quality Based on the Completed Local Binary Pattern

Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam CT.

To compare the results of a new quantitative image quality evaluation method that requires no observers with the results of receiver operating characteristic (ROC) analysis in detecting the mandibular canal (MC) in cone beam CT (CBCT) images. A Teflon (polytetrafluoroethylene) plate phantom with holes of different depths was scanned with two CBCT systems. One CBCT system was equipped with an image intensifier (Experiment 1), and the other was equipped with a flat panel detector (Experiment 2). Holes that were above the threshold gray value (ΔG), calculated using just-noticeable difference (JND), were extracted. The number of extracted holes was used as the index of the image quality, and was compared with the Az values calculated by ROC analysis to detect the MC. The number of extracted holes reflected the influence of different scanning conditions, and showed a strong correlation with the Az values calculated by ROC analysis. Indices of the number of extracted holes corresponding to high Az values for detecting the MC were obtained in both experiments. Our image quality evaluation method applying JND to images of a standardized phantom is a quantitative method that could be useful for evaluating the detectability of the MC in CBCT images.

Low-cost oblique illumination: an image quality assessment.

We study the effectiveness of several low-cost oblique illumination filters to improve overall image quality, in comparison with standard bright field imaging. For this purpose, a dataset composed of 3360 diatom images belonging to 21 taxa was acquired. Subjective and objective image quality assessments were done. The subjective evaluation was performed by a group of diatom experts by psychophysical test where resolution, focus, and contrast were assessed. Moreover, some objective nonreference image quality metrics were applied to the same image dataset to complete the study, together with the calculation of several texture features to analyze the effect of these filters in terms of textural properties. Both image quality evaluation methods, subjective and objective, showed better results for images acquired using these illumination filters in comparison with the no filtered image. These promising results confirm that this kind of illumination filters can be a practical way to improve the image quality, thanks to the simple and low cost of the design and manufacturing process.

A no-reference optical flow-based quality evaluator for stereoscopic videos in curvelet domain

Most of the existing 3D video quality assessment (3D-VQA/SVQA) methods only consider spatial information by directly using an image quality evaluation method. In addition, a few take the motion information of adjacent frames into consideration. In practice, one may assume that a single data-view is unlikely to be sufficient for effectively learning the video quality. Therefore, integration of multi-view information is both valuable and necessary. In this paper, we propose an effective multi-view feature learning metric for blind stereoscopic video quality assessment (BSVQA), which jointly focuses on spatial information, temporal information and inter-frame spatio-temporal information. In our study, a set of local binary patterns (LBP) statistical features extracted from a computed frame curvelet representation are used as spatial and spatio-temporal description, and the local flow statistical features based on the estimation of optical flow are used to describe the temporal distortion. Subsequently, a support vector regression (SVR) is utilized to map the feature vectors of each single view to subjective quality scores. Finally, the scores of multiple views are pooled into the final score according to their contribution rate. Experimental results demonstrate that the proposed metric significantly outperforms the existing metrics and can achieve higher consistency with subjective quality assessment.

画像処理技術高度化のための戦略-II : 協調視覚モデルの応用による画像品質評価法

画像処理技術高度化のための戦略-II : 協調視覚モデルの応用による画像品質評価法

쿼드트리 분할 기술을 이용한 컬러 영상 암호화 기술

최근 다양한 형태의 영상 콘텐츠가 제작되고 있고, 이를 위한 저작권 보호기술에 대한 관심이 높아지고 있다. 본 논문에서는 컬러 영상을 위한 영상암호화 기술을 제안한다. 이 기술은 영상을 RGB 색차성분으로 분할한 후, 윤곽선을 기준으로 쿼드트리 분할을 수행한다. 쿼드트리 분할 후, 선정된 블록들을 대상으로 암호화를 수행한다. 색차성분을 대상으로 암호화를 수행하여 암호화 효율을 측정하고, 컬러 영상으로 재구성한 후에도 암호화 효율을 측정한다. 암호화 효율은 시각적인 측정방식과 객관적인 화질평가 방식을 이용한다. 실험결과 PSNR 수치는 색차성분의 경우 7~10[dB], 컬러 영상의 경우 16~19[dB]로 측정되었다. 본 논문에서 제안한 영상암호화 기술은 향후 다양한 디지털 영상 콘텐츠의 저작권 보호에 사용될 것으로 보인다. Recently, various types of image contents are being produced, and interest in copyright protection technology is increasing. In this paper, we propose an image encryption technology for color images. This technique divides the image into RGB color components and then performs quad-tree decomposition based on the edge of image. After the quad-tree partitioning, encryption is performed on the selected blocks. Encryption is performed on color components to measure encryption efficiency, and encryption efficiency is measured even after reconstitution into a color image. The encryption efficiency uses a visual measurement method and an objective image quality evaluation method. The PSNR values were measured as 7~10 dB for color difference components and 16~19 dB for color images. The proposed image encryption technology will be used to protect copyright of various digital image contents in the future.

디지털방사선영상시스템에서 MCNPX 시뮬레이션을 이용한 영상 품질 및 선량평가

본 연구는 IEC에서 제시하는 영상품질을 평가하는 조건으로는 임상적인 환경에서 디지털 방사선영상시스템(Digital Radiography System)에서의 검출기에 대한 영상품질평가를 시행하기에는 환경적인 제한점이 있기에 IEC에서 제시하는 조건과 임상검사조건을 조합한 각각의 선질에 대하여 영상품질평가를 시행한 연구입니다. 첫째, 네 가지 선질을 사용하여 MTF, NPS 영상품질평가를 하였으며, MCNPX 시뮬레이션을 이용하여 선질들에 대한 스펙트럼을 분석하여 입자 플루언스를 산정한 후 최종적으로 DQE 영상품질평가를 하였다. 둘째, 네 가지 선질들의 MCNPX 시뮬레이션을 이용하여 방사선속 밀도와 에너지, 물질의 질량에너지 흡수계수를 이용하여 전자 1 개당 공기, 물, 근육, 뼈에 대한 흡수선량률을 평가하였다. 영상품질을 평가한 결과, 네 가지 선질들의 MTF는 1.13 ∼ 2.91 lp/mm 공간주파수를 나타내어 일반 X선 촬영의 진단 주파수영역인 1.0 ∼ 3.0 lp/mm를 만족하였다. NPS는 부가필터를 사용하면, 공간 주파수가 0.5 lp/mm 기준으로 NPS가 증가하다가 이후, 감소하는 경향성을 나타내었다. 부가필터 미사용하면, 공간주파수가 0.5 lp/mm 기준으로 NPS가 감소하다가 이후, 일정한 NPS 결과 값을 나타내었다. DQE는 70 kVp / unuesd added filter(21mm Al) / SID 150 cm에서 공간주파수 1.5 lp/mm 기준으로 일정한 값을 나타내다가 이후, 감소하는 경향성을 나타내었다. 나머지 선질들은 공간주파수가 증가함에 따라 감소하는 경향성을 나타내었다. 흡수선량 평가 결과는 공기< 물 < 근육 < 뼈 순서로 흡수선량이 증가함을 나타내었다. 본 연구결과를 바탕으로 다양한 임상환경에서 디지털 방사선영상시스템의 영상품질평가 방법을 제시할 수 있는 기초자료로 제공하고자 한다.

79-2: An Image Quality Evaluation Method of Near-eye Display

An image quality evaluation method is proposed according to Modulation Transfer Function, and considers eyes imaging modality. It can easily, quickly and economically evaluate the image quality of Near-eye Display and also provides a good reference for the design of Near-eye Display.

Self-adaptive morphable model based collaborative multi-view 3d face reconstruction in visual sensor network

3D face reconstruction is an efficient method for pedestrian recognition in non-cooperative environment because of its outstanding performance in robust face recognition for uncontrolled pose and illumination changes. Visual sensor network is widely used in target surveillance as powerful unattended distributed measurement systems. This paper proposes a collaborative multi-view non-cooperative 3D face reconstruction method in visual sensor network. A peer-to-peer paradigm-based visual sensor network is employed for distributed pedestrian tracking and optimal face image acquisition. Gaussian probability distribution-based multi-view data fusion is used for target localization, and kalman filter is applied for target tracking. A lightweight face image quality evaluation method is presented to search optimal face images. A self-adaptive morphable model is designed for multiview 3D face reconstruction. To adjust the self-adaptive morphable model, the optimal face images and their poses estimation are used. Cooperative chaotic particle swarm optimization is employed for parameters optimization of the self-adaptive morphable model. Experimental results on real data show that the proposed method can acquire optimal face images and achieve non-cooperative 3D reconstruction efficiently.

디지털방사선시스템에서 IEC표준을 이용한 방사선 영상 품질의 평가

본 연구의 목적은 디지털방사선시스템의 영상 품질을 비교하고 평가함에 있다. 영상의 정량적인 분해능을 나타내는 변조전달함수, 노이즈 특성을 나타내는 잡음력 스펙트럼을 이용하여 영상 품질평가를 하였다. IEC61267 선질을 사용하여 IEC62220-1에서 제시하는 기하학적인 조건과 실제 임상에서 사용되어지는 기하학적인 조건을 사용하여 부가필터 및 그리드, 임상선량을 이용하여 edge 팬텀을 사용하여 MTF값을 측정하였다. Grid, Filter, SID, kVp, mAs에 따른 MTF 결과는 임상조건 100, 180cm 와 IEC62220-1 기하학적인 조건 150cm에서 MTF 공간주파수 측정값은 비슷하게 나타났으며, 오히려 임상조건 100, 180cm에서 공간주파수가 높은 경우도 있었다. NPS 결과는 선량이 증가함에 따라 감소함을 나타내었다. IEC61267 선질을 이용한 영상품질평가에서는 IEC62220-1기하학적인 조건을 이용한 품질평가보다 임상조건 기하학적인 조건을 사용한 영상의 품질이 좋았다. IEC 와 임상조건에서의 MTF와 NPS는 크게 차이가 나지 않았음을 알 수 있었다. 그러므로 향후 IEC 표준에서 제시하는 영상품질 평가보다는 임상 조건을 적용한 영상품질 평가방법을 적용하기 위해서 부가필터사용 유 무, 그리드사용 유 무, SID변화, 선질, 선량 등의 파라메터를 적절히 이용하여 가장 적은 선량으로 공간분해능이 좋고, NPS가 감소하는 방법들을 찾는다면 향후 실제 임상에서 사용되고 있는 디지털방사선시스템을 최적의 품질로 유지할 수 있는 참고 자료로 활용될 수 있을 것으로 사료된다. The purpose of this study is to evaluate and compare the quality of digital X-ray imaging system. The image quality evaluation was conducted By using Modulation transfer function indicating the quantitative resolution of the image and the noise power spectrum showing the noise characteristics. Using a IEC61267 radiation quality was applied to the geometry to be used in clinical and geometry presented in IEC62220-1 and Additional filter, grid, the clinical dose and the MTF value of edge phantom was measured. Result of the MTF corresponding to each item(Grid, Filter, SID, kVp, mAs), the clinical condition 100cm, 180cm, measurements of the spatial frequency of the MTF IEC62220-1Geometry 150cm became similarly apparent, rather spatial frequency was also the case high in clinical conditions 100cm. NPS results, as the dose(mAs) is increased, NPS showed that reduced. The image quality evaluation using IEC61267 the Radiation quality, Image quality of the video using the clinical conditions Geometry than image quality evaluation using IEC62220-1Geometry was better. It shows that MTF and NPC in IEC and clinical condition were not significantly different. In order to apply the evaluation method of image quality applied with clinical conditions rather than the future method, to be presented evaluation of IEC standard, based on the results of the image characterization studies in this paper, the methods that shows good quality of spatial resolution and decrease NPS value as the least dose, used suitable parameters for whether or not using added filter, grid, change SID and clinical quality(kVp), dose(mAs) etc should be found. then It is believed to be able to properly maintain the actual quality of the image of the digital radiographic imaging system in clinical.

MO‐F‐CAMPUS‐J‐04: One‐Year Analysis of Elekta CBCT Image Quality Using NPS and MTF

Purpose:To compare quantitative image quality (IQ) evaluation methods using Noise Power Spectrum (NPS) and Modulation Transfer Function (MTF) with standard IQ analyses for minimizing the observer subjectivity of the standard methods and maximizing the information content.Methods:For our routine IQ tests of Elekta XVI Cone‐Beam CT, image noise was quantified by the standard deviation of CT number (CT#) (Sigma) over a small area in an IQ test phantom (CatPhan), and the high spatial resolution (HSR) was evaluated by the number of line‐pairs (LP#) visually recognizable on the image. We also measured the image uniformity, the low contrast resolution ratio, and the distances of two points for geometrical accuracy. For this study, we did additional evaluation of the XVI data for 12 monthly IQ tests by using NPS for noise, MTF for HSR, and the CT#‐to‐density relationship. NPS was obtained by applying Fourier analysis in a small area on the uniformity test section of CatPhan. The MTF analysis was performed by applying the Droege‐Morin (D‐M) method to the line pairs on the phantom. The CT#‐to‐density was obtained for inserts in the low‐contrast test section of the phantom.Results:All the quantities showed a noticeable change over the one‐year period. Especially the noise level changed significantly after a repair of the imager. NPS was more sensitive to the IQ change than Sigma. MTF could provide more quantitative and objective evaluation of the HSR. The CT# was very different from the expected CT#; but, the CT#‐to‐density curves were constant within 5% except two months.Conclusion:Since the D‐M method is easy to implement, we recommend using MTF instead of the LP# even for routine periodic QA. The month‐to‐month variation of IQ was not negligible; hence a routine IQ test must be performed, particularly after any modification of hardware including detector calibration.

디지털유방영상시스템에서 몬테카를로 시뮬레이션을 이용한 영상평가

유방촬영술은 유방암의 조기진단과 기본적인 스크리닝 검사의 진단방법으로서 디지털유방영상시스템의 보급과 유방촬영에 대한 관심이 점점 증가하고 있다. 유방영상의 화질은 타깃물질과 필터의 조합에 의해 결정되며, 이러한 조합은 X선 스펙트럼도 변화되지만 화질과 환자의 피폭선량에도 큰 영향을 주기 때문에 환자의 유선밀도와 두께에 따른 적합한 조합의 선택이 필요하다. 이에 본 연구에서는 디지털유방영상시스템에서 정량적인 영상평가와 몬테카를로 시뮬레이션을 이용한 환자의 피폭선량을 저감시킬 수 있는 타깃과 필터 조합을 제시하고자 한다. 그 결과 MTF, NPS, DQE의 영상평가에서 압박 유방의 두께가 얇은 경우는 Mo/Mo또는 Mo/Rh 조합, 두꺼운 경우에는 Rh/Rh또는 W/Rh조합의 영상이 우수하게 나타났다. 또한 임상에서 얇은 두께의 유방에 잘 사용하지 않는 W/Rh조합이 공간해상력 평가 결과에서 우수한 것으로 나타났다. 그리고 선량평가에서 압박 유방두께가 얇은 경우 Mo/Mo또는 Mo/Rh조합, 압박 유방두께 6cm 이상의 경우 Rh/Rh또는 W/Rh조합에서 피폭선량이 감소하였다. 두 번째 장기선량 평가에서는 검사 유방 외에 반대 유방의 선량이 검사 유방을 기준으로 약 47~73% 정도의 영향을 미치는 것으로 나타났다. 결론적으로 다양한 유방 두께에 따른 최적의 타깃과 필터 조합을 선택하는 것이 환자 피폭선량 감소에 도움이 될 것이다. For the purpose of early diagnosis of the breast cancer, the attention on the screening mammography has been increasing-with supply of digital mammography day by day. Image quality is decided by target materials and filter combinations. Optimized selection by a glandular density and a thickness is needed, because these combinations change x-ray spectrum and effect to image quality. The purpose of this study is to find out optimized target and filter combinations through the evaluation of quantitative image quality and to suggest means which minimize patient dose through MCNPX. In results, spatial frequency resolution evaluation which is quantitative image quality evaluation method, MTF, NPS, DQE shows that we have to select Mo/Mo combinations or Mo/Rh combinations when compressed breast is thin. but in case of that when compressed breast is thick, we have to select Rh/Rh combinations or W /Rh combinations. In a comprehensive evaluation, W!Rh combinations which are not used in thin breasts in practice was superior to all image quality evaluation. This result is somewhat different-with clinical examination results. Secondary end point was organ dose evaluation, radiation dose of opposite breast was approximately 47 ~73% effectiveness when selecting standard breast. In conculsion, the most important point is that we have to select the optimal combinations-with considering dose evaluation and various thickness.

Fusion Algorithm of Infrared and TV Image Based on Image Quality Evaluation Method

The main method of Infrared and TV image fusion is based on image transform and fusion rule selection. The study implies that the information quantity of Infrared and TV image has significant effect on the result of fusion. This paper proposes one fusion algorithm of infrared and TV image based on image quality evaluation method. The basic idea of the algorithm is that the whole image or the image areas which contains better quantity of information play a leading role in the fusion process. Firstly, algorithm performs the global quality evaluation of infrared image and TV image, and then selects the corresponding fusion strategy according to the quantity of information. The source image has been divided into the high frequency coefficients and low-frequency coefficients using wavelet transform. Second, algorithm selects the rule of coefficients fusion based on the relative image quality of local regions of the image. The algorithm of this paper avoids the interference of low quality image, makes full use of the area of higher information content and achieves the favorable consistency of the fused image. Experiments demonstrate the effectiveness of the algorithm.

Subjective image quality evaluation method for digital images which reflects users'characteristics

Subjective image quality evaluation method for digital images which reflects users'characteristics

흉부 측와위 촬영 시 전후방향과 후전방향 검사의 유용성 비교

Chest lateral decubitus 촬영은 일반적으로 PA 검사를 시행하여 왔으나, 응급환자나 몸이 불편한 환자의 검사에 있어 많은 불편이 있었다. 이에 본 연구에서는 AP 검사와 PA 검사를 비교하여 영상의 질, 환자의 안전성, 검사 효율성을 분석하고 두 검사간의 유용성을 알아보고자 하였다. 본원에서 2011.10.1 ~ 2012.7.30까지 늑막염 또는 기흉으로 의심되거나 진단된 환자들 중 chest lateral decubitus 촬영을 시행한 30명(남자 20명, 여자 10명)을 대상으로 하였다. 영상 화질 평가방법은 폐야의 미세구조, 진단영역의 넓음, air-fluid 경계면의 명확 유무, 환자 회전유무, 심장음영과 횡격막의 선명유무를 기준으로 하였으며, 영상의학과 전문의 2명, 호흡기내과 전공의 2명이 blind test로 평가하였다. 환자 안정성 및 방사선 검사의 효율성 평가는 환자 position의 안정성, 환자 상태 확인 등의 기준으로 일반촬영 5년 이상 경력의 방사선사 15명이 5점 척도로 평가를 하였고, 통계 분석은 Paired T-test로 분석하였다. Chest decubitus 촬영 시 AP와 PA자세에 따른 검사의 유용성을 비교 분석한 결과 영상의 화질에서 AP와 PA자세는 큰 차이가 없었던 반면, 환자의 안정성 및 방사선사의 검사 효율성에 있어 PA자세에 비해 AP자세의 평가 점수가 높게 나타났다. 이에 특별히 PA자세가 요구되지 않는다면 AP자세로 검사하여도 무방할 것으로 사료된다. Chest lateral decubitus radiation exposure PA be carried out in general, but emergency patient or the patient's discomfort in the body examination had a lot of inconvenience. In this study, we compared AP and PA image quality, patient safety, and analysis of the examination effectiveness between the two tests was to evaluate the usefulness. Pleurisy or pneumothorax in patients with suspected or diagnosed chest lateral decubitus radiation exposure 30 consecutive patients (male 20 patients, 10 females) were included in the study. Image quality evaluation method microstructure of lung, wide areas of diagnosis, a clear air-fluid interface, the patient rotate, cardiac shadow and sharp diaphragmatic was based on Department of Radiology specialist, division of pulmonology resident blind test was evaluated by four people. Chest decubitus by radiation exposure the AP and PA position examination the usefulness of comparative analysis Image quality in the AP and PA, whereas there was no significant difference in attitude, Stability of the patient and Radiation's examination efficiency AP position compared to the position of PA scores were higher. PA position does not require a examination may be of AP position in a position to suggest that.