Automated daily quality control analysis for mammography in a multi-unit imaging center

Background: The high requirements for mammography image quality necessitate a systematic quality assurance process. Digital imaging allows automation of the image quality analysis, which can potentially improve repeatability and objectivity compared to a visual evaluation made by the users. Purpose: To develop an automatic image quality analysis software for daily mammography quality control in a multi-unit imaging center. Material and Methods: An automated image quality analysis software using the discrete wavelet transform and multi-resolution analysis was developed for the American College of Radiology accreditation phantom. The software was validated by analyzing 60 randomly selected phantom images from six mammography systems and 20 phantom images with different dose levels from one mammography system. The results were compared to a visual analysis made by four reviewers. Additionally, long-term image quality trends of a full-field digital mammography system and a computed radiography mammography system were investigated. Results: The automated software produced feature detection levels comparable to visual analysis. The agreement was good in the case of fibers, while the software detected somewhat more microcalcifications and characteristic masses. Long-term follow-up via a quality assurance web portal demonstrated the feasibility of using the software for monitoring the performance of mammography systems in a multi-unit imaging center. Conclusion: Automated image quality analysis enables monitoring the performance of digital mammography systems in an efficient, centralized manner.Peer reviewe

Data Quality Monitoring of the CMS Silicon Strip Tracker Detector

The Physics and Data Quality Monitoring (DQM) framework aims at providing a homogeneous monitoring environment across various applications related to data taking at the CMS experiment. In this contribution, the DQM system for the Silicon Strip Tracker will be introduced. The set of elements to assess the status of detector will be mentioned, along with the way to identify problems and trace them to specific tracker elements. Monitoring tools, user interfaces and automated software will be briefly described. The system was used during extensive cosmic data taking of CMS in Autumn 2008, where it demonstrated to have a flexible and robust implementation and has been essential to improve the understanding of the detector. CMS collaboration believes that this tool is now mature to face the forthcoming data-taking era.Comment: 2 pages, 3 figures. Proceeding from Frontier Detectors for Frontier Physics - 24-30 May 2009 La Biodola, Isola d'Elba, Ital

LCOGT Network Observatory Operations

We describe the operational capabilities of the Las Cumbres Observatory Global Telescope Network. We summarize our hardware and software for maintaining and monitoring network health. We focus on methodologies to utilize the automated system to monitor availability of sites, instruments and telescopes, to monitor performance, permit automatic recovery, and provide automatic error reporting. The same jTCS control system is used on telescopes of apertures 0.4m, 0.8m, 1m and 2m, and for multiple instruments on each. We describe our network operational model, including workloads, and illustrate our current tools, and operational performance indicators, including telemetry and metrics reporting from on-site reductions. The system was conceived and designed to establish effective, reliable autonomous operations, with automatic monitoring and recovery - minimizing human intervention while maintaining quality. We illustrate how far we have been able to achieve that.Comment: 13 pages, 9 figure

ClockIt: Monitoring and Visualizing Student Software Development Profiles

Monitoring software development practices can result in improved estimation abilities and increased software quality. A common drawback associated with many monitoring schemes is the manual overhead needed to make the monitoring effective. This overhead results in users abandoning the monitoring scheme shortly after it is adopted or poor quality in the data produced. Alternatives have been introduced that automate part, or all of the monitoring. ClockIt is a fully automated extension for the pedagogical integrated development environment (IDE) BlueJ, and focuses on aspects of the development practices seen in introductory level students. By automatically monitoring introductory student development behavior, instructors and students gain insight about development practices. In addition to the ClockIt extension, Visualization tools are provided to assist students or instructors in exploring the data. Data collected via ClockIt for four semesters confirm previous independent findings. And, new insights about how compilation error frequency changes in introductory students and the relationships between pairs of compilations have been discovered

OSSMETER: Automated measurement and analysis of open source software

International audienceDeciding whether an open source software (OSS) meets the requiredstandards for adoption in terms of quality, maturity, activity of development anduser support is not a straightforward process. It involves analysing various sourcesof information, including the project’s source code repositories, communicationchannels, and bug tracking systems. OSSMETER extends state-of-the-art techniquesin the field of automated analysis and measurement of open-source software(OSS), and develops a platform that supports decision makers in the processof discovering, comparing, assessing and monitoring the health, quality, impactand activity of opensource software. To achieve this, OSSMETER computestrustworthy quality indicators by performing advanced analysis and integrationof information from diverse sources including the project metadata, source coderepositories, communication channels and bug tracking systems of OSS projects

Physical and physiological quality of Jatropha curcas L. seeds at different maturity stages using image analysis

Aim of study: To assess the potential of automated X-ray image analysis to evaluate the physical characteristics of Jatropha curcas seeds, and to relate the parameters obtained with the physiological quality of the seeds harvested at different maturity stages.Area of study: Experimental area of Agronomy Department, Federal University of Viçosa (UFV), Brazil.Material and methods: The fruits were harvested from 20 plants, based on the external skin color (green, yellow, brownish-yellow and brown). The study was performed by automated and visual analysis of radiographic images of the seeds, in which measurements of tissue integrity, density and seed filling were performed. Seed dry matter, germination and seedling growth were also analysed.Main results: Variables obtained through automated analysis of radiographic images correlated significantly with all physiological variables (r > 0.9), as well as visual image evaluations (r > 0.75). The seeds extracted from green fruits presented lower tissue integrity and lower physiological quality. Radiographic analysis was efficient for monitoring J. curcas seed quality at different maturity stages. Morpho-anatomical parameters obtained from X-ray analysis were highly correlated with seed physiological attributes.Research highlights: It is important to develop and improve methodologies based on lower-cost techniques, such as X-ray analysis. In this context, we verified that X-ray images can be used for monitoring J. curcas seed filling and maturation. Radiographic images of seeds can be analyzed automatically with ImageJ software. Internal morphology and physical characteristics of seeds have relationship with their physiological quality

The value of automated follicle volume measurements in IVF/ICSI

Background/Aims: The objective of this literature study is to investigate the place of recent software technology sonography-based automated volume count (SonoAVC) for the automatic measurement of follicular volumes in IVF/ICSI. Its advantages and disadvantages and potential future developments are evaluated. Methods: A total of 74 articles were read via a PubMed literature study.The literature study included 53 articles, 32 of which for the systematic review. Results: The SonoAVC software shows excellent accuracy. Comparing the technology with the “golden standard” two-dimensional (2D) manual follicle measurements, SonoAVC leads to a significantly lower intra- and inter-observer variability. However, there is no significant difference in clinical outcome (pregnancy rate).We noted a significant advantage in the time gained, both for doctor and patient. By storing the images, the technology offers the possibility of including a quality control and continuous training and further standardization of follicular monitoring can be expected. Ovarian reserve testing by measuring the antral follicle count with SonoAVC is highly reliable. Conclusion: This overview of previously published literature shows how SonoAVC offers advantages for clinical practice, without losing any accuracy or reliability. Doctors should be motivated to the general use of follicular volumes instead of follicular diameters

Проблеми оцінювання якості критичних програмних систем при їх сертифікації

В статті розглянуті питання побудови процедури сертифікації ПЗ автоматизованих систем контролю, як одного з класів критичних програмних систем, для яких сертифікація відповідності є обов'язковою. Розроблені методи формалізації процедури формування критеріїв якості та побудована узагальнена модель якості ПЗ. Створення таких методів і засобів дає можливість підвищити ефективність і якість випробувань, а тому зменшує трудомісткість цієї операції та збільшує достовірність результатів сертифікації відповідності.In the article the problems of construction of a procedure of certification of a software of automated monitoring systems are considered, as one from classes of the critical program systems, for which the certification of the correspondence is a mandatory procedure. The methods of formalization of a procedure of shaping of criterions of quality are developed and the generalized model of quality of a software is constructed. The creation of such methods and means enables to increase efficiency and quality of tests, that is why reduces labour input of this operation and increases reliability of outcomes of certification of the correspondenc