Retinal image quality assessment through a visual similarity index

Retinal image quality is commonly analyzed through parameters inherited from instrumental optics. These parameters are defined for ‘good optics’ so they are hard to translate into visual quality metrics. Instead of using point or artificial functions, we propose a quality index that takes into account properties of natural images. These images usually show strong local correlations that help to interpret the image. Our aim is to derive an objective index that quantifies the quality of vision by taking into account the local structure of the scene, instead of focusing on a particular aberration. As we show, this index highly correlates with visual acuity and allows inter-comparison of natural images around the retina. The usefulness of the index is proven through the analysis of real eyes before and after undergoing corneal surgery, which usually are hard to analyze with standard metrics.     

A web-based digital analysis interface for image quality assessment

Image processing and transmission systems may introduce some amount of distortion or artefacts in a digital image. This fact usually leads to a visual or statistical image quality assessment (IQA) required in many applications and research studies in order to analyse a product image in terms of deteriorations as well as effects of the processing. There are numerous IQA criteria presented in the literature separately that makes it really difficult both for use in comparative analyses and for educational purposes. In this presented work, a user friendly web-based digital educational interface for full-reference or no-reference image quality assessment using MATLAB builder NE has been developed. In addition to this, developed system performs user-defined optional deteriorations (median noise, Gaussian blur, motion blur, high-pass filter and jpeg compression) on the image and assesses deterioration of the image. It is an extremely easy, fast and economical way of analysing digital images, especially designed for researchers, graduate and postgraduate students who work on digital image processing. Using this web-based tool well contributes to teaching all of the IQA methods and quality effects of systematic distortions on the image as well as establishes a scientific benchmark for researchers.     

A comparative study of research performance in computer science

The paper compares the research performance in computer science of four major Western countries, India and China, based on the data abstracted from INSPEC database during the period 1993–2002. A total of 9,632 computer science papers recorded in INSPEC database were used for the comparison. The findings indicate that, on the one hand, the number of papers produced in China has considerably increased in the past few years. Particularly, in recent years, China occupies a remarkable high position in terms of counts of papers indexed by the INSPEC database. On the other hand, Chinese scientists preferred to publish in domestic journals and proceedings and shares of SCI-papers to the total journal papers for China have still remained the lowest. This indicates that the research activities of Chinese scientists in computer science are still rather “local” and suffer from a low international visibility. Various scientometric indicators, such as Normalized Impact Factor, ratio of papers in high quality journals are further adopted to analyze research performance and diverse finding are obtained. Nevertheless, for these surrogate indicators, China has optimistically achieved great progress, characterized with “low level of beginning and high speed of developing”. The policy implication of the findings lies in that China, as well as other less developed countries in science, can earn relative competitive advantages in some new emerging or younger disciplines such as computer science by properly using catch-up strategy. This revised version was published online in June 2006 with corrections to the Cover Date.     

A 2-D anatomic breast ductal computer phantom for ultrasonic imaging

Most breast cancers (85%) originate from the epithelium and develop first in the ductolobular structures. In screening procedures, the mammary epithelium should therefore be investigated first by the performing of an anatomically guided examination. For this purpose (mass screening, surgical guidance), we developed a two-dimensional anatomic phantom corresponding to an axial cross section of the ductolobular structures, which makes it possible to better understand the interactions between the breast composition and ultrasound. The various constitutive tissues were modeled as a random inhomogeneous continuum with density and sound speed fluctuations. Ultrasonic pulse propagation through the breast computer phantom was simulated using a finite element time domain method (the phantom can be used with other propagation codes). The simulated ductal echographic image is compared with the ductal tomographic (DT) reconstruction. The preliminary results obtained show that the DT method is more satisfactory in terms of both the contrast and the resolution.     

X射线影像对比度细节体模的设计

为了评价医用X射线摄影影像质量,设计及制作了一种对比度细节体模。利用X射线透过物质时其透过剂量随物质厚度的增加呈指数减弱原理,在与肌肉组织对X射线减弱特性基本等效的有机玻璃板上加工不同大小和深度的圆孔而制成。对比度细节圆孔在对比度阈值区域精密分布,对比度细节从0.3～80.0mm,同时提出了对比度细节体模影像质量指数的计算方法及体模的应用。该体模使用方便,指标计算简单,适合对X射线影像质量的对比度及空间分辨率的综合评价。     

A comparative study of quality control in diagnostic radiology

The main objective of this comparative study was to evaluate the national quality assurance program for X-ray diagnostic radiology in Syrian governmental hospitals. Two periods were covered in this study, the first period was from 1986 to 1998 (52 hospitals and 149 X-ray machines were considered) and the second period from 1999 to 2005 (41 hospitals and 95 X-ray machines were considered). Most of the X-ray machines studied were within the acceptable performance, but few machines needed recalibration for some parameters. Considerable improvement of about 50% was reported in the second period. This improvement could be attributed to the establishment of an effective National Regulatory Authority in Syria in 1998 that introduced and gradually enforced the quality assurance requirement for X-ray equipment as part of the licensing process and to the relatively newer X-ray machines covered in the second period.     

Maximum likelihood difference scaling of image quality in compression-degraded images

Lossy image compression techniques allow arbitrarily high compression rates but at the price of poor image quality. We applied maximum likelihood difference scaling to evaluate image quality of nine images, each compressed via vector quantization to ten different levels, within two different color spaces, RGB and CIE 1976 L*a*b*. In L*a*b* space, images could be compressed on average by 32% more than in RGB space, with little additional loss in quality. Further compression led to marked perceptual changes. Our approach permits a rapid, direct measurement of the consequences of image compression for human observers.     

New metric for stereo image quality assessment based on HVS

Stereo image is regarded as an important trend of image technology, and there is an increasing need to develop efficient measures for stereo image quality evaluation. By analyzing the main properties of human visual system that is related to stereo image, a new metric based on human visual systems (HVSs) for stereo image quality assessment is proposed in this article. This method assesses stereo images from the perspective of image quality and stereo sense. The experimental results are presented to show that the proposed metric provides results consistent with the subjective assessment and thus can be employed to reflect image quality and stereo sense. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 301–307, 2010     

Reduced reference blockiness and blurriness meter for image quality assessment

Abstract

This research work demonstrates an image quality assessment meter (IQAM) in reduced reference (RR) mode for discrete cosine transform (DCT) based compressed images. The DCT based image compression technique is lossy. As a result, it introduces blockiness and blurriness artefacts in the coded image. To send the image in image transmission systems, the system bandwidth is limited, and image data need to be adapted accordingly. To determine the quality of image at the recipient end, fewer image parameters are sent rather than the complete reference image. The aim of this paper is to suggest a method for the receiver to evaluate the objective received image quality. The presented RR quality meter operates in the frequency domain for the estimation of artefacts in the compressed image. The quality meter takes the image, performs edge detection, transforms it into the frequency domain and estimates the harmonics. The estimated strength of harmonics in the compressed image is compared with the received RR parameter for blockiness and blurriness distortions. For improved quality judgment, the combined effect of both these artefacts is measured as well. Peak signal to noise ratio (PSNR) is another most familiar method of image quality assessment. The received image quality is also observed by measuring the PSNR. The objective values of the artefacts obtained by the designed RR IQAM algorithm are correlated with the subjective differential mean opinion scores (DMOS) blockiness and blurriness values of Laboratory for Image and Video Engineering (LIVE) image database2. The results obtained are well matched and give 93–94% correlation with the LIVE database values, whereas the correlation obtained by PSNR values with LIVE DMOS values is only around 70%. This proves the practical application of the designed IQAM in RR.     

航空相机的像移计算及其补偿分析

航空相机拍照时难免会产生像移,要提高成像质量和相机分辨力必须进行像移补偿。推导出前向像移、飞行器俯仰、滚动和偏航产生的像移及其误差计算公式,以美国 KS-146 航空侦察相机为例,计算出前向像移的大小数量级在 10-3,而其它像移量大小则为 10-4数量级,提出在航空垂直拍照时前向像移占主导地位,应作为像移补偿的主要方向,同时提出在航空相机设计中通过缩短曝光时间和提高快门精度等途径来减小像移、增强航摄图像的清晰度。     

A study to validate the method based on DIMOND quality criteria for cardiac angiographic images

A method based on image quality criteria (QC) for cine-angiography was developed to measure the quality of cine-angiograms (CA). A series of 30 CA for left ventriculography (LV) and left and right coronary angiography (LCA, RCA) have been scored and 172 readings were obtained. Standard deviation of quality scores indicated the reproducibility of the method. Each part of CA was examined separately, giving scores for LV, LCA and RCA and a total score (TS), with clinical (C) and technical (T) criteria defined and examined separately. In 83% of the studies TS was >0.8 and with standard deviation from 0.02 to 0.21. In general, LV had a lower score and greater disagreement compared with RCA and LCA. Disagreement was greater in T, compared with C. In conclusion, these results indicate that QC, translated into a scoring system, yields reproducible data on the quality of cardiac images.     

A survey on performance status of mammography machines: image quality and dosimetry studies using a standard mammography imaging phantom

It is essential to perform quality control (QC) tests on mammography equipment in order to produce an appropriate image quality at a lower radiation dose to patients. Imaging and dosimetric measurements on 15 mammography machines located at the busiest radiology centres of Mumbai, India were carried out using a standard CIRS breast imaging phantom in order to see the level of image quality and breast doses. The QC tests include evaluations of image quality and the mean glandular doses (MGD), which is derived from the breast entrance exposure, half-value layer (HVL), compressed breast thickness (CBT) and breast tissue compositions. At the majority of the centres, film-processing and darkroom conditions were not found to be maintained, which is required to meet the technical development specifications for the mammography film in use as recommended by the American College of Radiology (ACR). In most of the surveyed centres, the viewbox luminance and room illuminance conditions were not found to be in line with the mammography requirements recommended by the ACR. The measured HVL values of the machines were in the range of 0.27-0.39 mm aluminium (Al) with a mean value of 0.33±0.04 mm Al at 28 kV(p) following the recommendation provided by ACR. The measured MGDs were in the range of 0.14-3.80 mGy with a mean value of 1.34 mGy. The measured MGDs vary between centre to centre by a factor of 27.14. Referring to patient doses and image quality, it was observed that only one mammography centre has exceeded the recommended MGD, i.e. 3.0 mGy per view with the value of 3.80 mGy and at eight mammography centres the measured central background density (CBD) values for mammography phantom image are found to be less than the recommended CBD limit value of 1.2-2.0 optical density.     

Fisher information and surrogate figures of merit for the task-based assessment of image quality

Fisher information can be used as a surrogate for task-based measures of image quality based on ideal observer performance. A new and improved derivation of the Fisher information approximation for ideal-observer detectability is provided. This approximation depends only on the presence of a weak signal and does not depend on Gaussian statistical assumptions. This is also not an asymptotic result and therefore applies to imaging, where there is typically only one dataset, albeit a large one. Applications to statistical mixture models for image data are presented. For Gaussian and Poisson mixture models the results are used to connect reconstruction error with ideal-observer detection performance. When the task is the estimation of signal parameters of a weak signal, the ensemble mean squared error of the posterior mean estimator can also be expanded in powers of the signal amplitude. There is no linear term in this expansion, and it is shown that the quadratic term involves a Fisher information kernel that generalizes the standard Fisher information. Applications to imaging mixture models reveal a close connection between ideal performance on these estimation tasks and detection tasks for the same signals. Finally, for tasks that combine detection and estimation, we may also define a detectability that measures performance on this combined task and an ideal observer that maximizes this detectability. This detectability may also be expanded in powers of the signal amplitude, and the quadratic term again involves the Fisher information kernel. Applications of this approximation to imaging mixture models show a relation with the pure detection and pure estimation tasks for the same signals.     

Comparison of results from quality control of physical parameters and results from clinical evaluation of mammographic images for the mammography screening facilities in Poland

The material for this study comprised control protocols from 248 mammography screening facilities, prepared by physicists employed at 16 Regional Coordinating Centres and the results from the clinical evaluation of mammographic images in 248 facilities in Poland. All mammograms were evaluated independently by three experts selected from a list approved by the national consultant of radiology and diagnostic imaging. The requirements for proper breast positioning, selection of appropriate parameters for exposure and absence of artefacts were fulfilled only in 38 % of inspected mammography facilities. The requirements of the clinical audit were met only in 15 % of the mammography facilities. The requirements for the physical parameters of mammographic equipment were met only in 28 % of them. The requirements of the quality control (QC) tests and clinical audit were not fulfilled only in 19 % of the mammography facilities. Results from the QC of physical parameters are comparable with results from clinical evaluation of mammographic images in 57 % of the mammography facilities in Poland.     

The spatial statistics of structural magnetic resonance images: application to post-acquisition quality assessment of brain MRI images

This report describes a new quality evaluation method for structural magnetic resonance images (MRI) of the brain. Pixels in MRI images are regarded as regionalized random variables that exhibit distinct and organized geographic patterns. We extract geo-spatial local entropy features and build three separate Gaussian distributed quality models upon them using 250 brain MRI images of different subjects. The MRI images were provided by Alzheimer's disease neuroimaging initiative (ADNI). Image quality of a test image is predicted in a three-step process. In the first step, three separate geo-spatial feature vectors are extracted. The second step standardizes each quality model using corresponding geo-spatial feature vector extracted from the test image. The third step computes image quality by transforming the standardized score to probability. The proposed method was evaluated on images without perceived distortion and images degraded by different levels of motion blur and Rician noise as well as images with different configurations of bias fields. Based on the performance evaluation, our proposed method will be suitable for use in the field of clinical research where quality evaluation is required for the brain MRI images acquired from different MRI scanners and different clinical trial sites before they are fed into automated image processing and image analysis systems.     

Determination of voxel phantom for reference Taiwanese adult from CT image analyses

The International Commission on Radiological Protection Publication 103 recommended that ionising radiation doses should be assessed based on voxel phantoms. An anthropomorphic voxel phantom for the Reference Taiwanese Adult was built from analyses of computed tomography (CT) images. Thirty representative adult individuals were selected from normal patients in the hospital, with body mass index between 19.6 and 25.6 for males and 18.8 and 27.0 for females and body height between 163 and 175 cm for males and 152 and 162 cm for females. The Reference Taiwanese Adult was determined from these individuals by analysing their CT images for parameters characterising the size, position and orientation of several organs. Analysed parameters included the volume, surface area, major and minor axes, mean chord length, position relative to the body centre, and orientation with respect to the body axis, for liver, spleen, kidney, stomach, gallbladder and bladder. The person with the highest score was designated the Reference Taiwanese Adult.     

A comparative study of the use of colorimetric assays in the assessment of biocompatibility

A panel of colorimetric assays was assessed for sensitivity, reproducibility, and performance in the investigation of the biocompatibility of a representative range of orthopædic biomaterials, using a commercially available human osteosarcoma-derived cell line. The MTT assay was the most sensitive, with a detection limit of 4×10² cells per well against background, while the NR assay was the least sensitive, with no colour change until the cell density reached 2×10⁴ per well. All of the assays investigated showed a highly significant edge effect when within-plate reproducibility was examined; between-plate reproducibility was good for all assays except the MTT assay. When the assays were tested on cells adherent on biomaterials, there was a wide variation in the results obtained; in particular, the MTS assay showed poor reproducibility in the presence of materials. The MTT and BrdU assays both showed sufficient precision to detect cells on two of the materials studied. The study demonstrates that colorimetric assays are potentially useful in biocompatibility assessment but must be fully validated for the application chosen.     

Evaluation of image quality of lumbar spine images: a comparison between FFE and VGA

PURPOSE: The aim of the present study is to compare two different methods for evaluation of the quality of clinical X-ray images. METHODS: Based on fifteen lumbar spine radiographs, two new sets of images were created. A hybrid image set was created by adding two distributions of artificial lesions to each original image. The image quality parameters spatial resolution and noise were manipulated and a total of 210 hybrid images were created. A set of 105 disease-free images was created by applying the same combinations of spatial resolution and noise to the original images. The hybrid images were evaluated with the free-response forced error experiment (FFE) and the normal images with visual grading analysis (VGA) by nine experienced radiologists. RESULTS: In the VGA study, images with low noise were preferred over images with higher noise levels. The alteration of the MTF had a limited influence on the VGA score. For the FFE study, the visibility of the lesions was independent of the sharpness and the noise level. No correlation was found between the two image quality measures. CONCLUSIONS: FFE is a precise method for evaluation of image quality, but the results are only valid for the type of lesion used in the study, whereas VGA is a more general method for clinical image quality assessment. The results of the FFE study indicate that there might be a potential to lower the dose levels in lumbar spine radiography without losing important diagnostic information.