Development of method of matched morphological filtering of biomedical signals and images

Formalized approach to the analysis of biomedical signals and images with locally concentrated features is developed on the basis of matched morphological filtering taking into account the useful signal models that allowed generalizing the existing methods of digital processing and analysis of biomedical signals and images with locally concentrated features. The proposed matched morphological filter has been adapted to solve such problems as localization of the searched structural elements on biomedical signals with locally concentrated features, estimation of the irregular background aimed at the visualization quality improving of biological objects on X-ray biomedical images, pathologic structures selection on mammogram. The efficiency of the proposed methods of matched morphological filtration of biomedical signals and images with locally concentrated features is proved by experiments

Effect of Different Breast Densities and Average Glandular Dose on Contrast to Noise Ratios in Full-Field Digital Mammography: Simulation and Phantom study

鈴鹿医療科学大

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

Noise reduction on mammographic phantom images

A noise reduction scheme on digitized mammographic phantom images is presented. This algorithm is based on a direct contrast modification method using an optimal function which is obtained by means of the mean squared error as a criterion. Computer simulated images containing objects similar to those observed in the phantom are built to evaluate the performance of the algorithm. Noise reduction results obtained on both simulated and real phantom images show that the developed method may be considered as a good pre-processing step from the point of view of automating phantom film evaluation by means of image processing

Impact of a program of diagnostic imaging quality control in mammography centers of the Federal District, Brazil

OBJETIVO: Esta pesquisa visou a avaliar a qualidade dos serviços de mamografia do Distrito Federal e o impacto de uma intervenção de inspeção e capacitação. MATERIAIS E MÉTODOS: Foram estudados 41 serviços de mamografia no Distrito Federal no período de 2000 a 2002. A intervenção consistiu na inspeção inicial seguida de um treinamento e notificação oficial da Vigilância Sanitária. Os resultados de qualidade da imagem foram comparados "antes" e "depois" da intervenção. RESULTADOS: O estudo demonstrou que dos 36 serviços que completaram a pesquisa, nenhum estava acima de 90% de conformidade antes da intervenção. Após a intervenção, dez unidades atingiram mais de 90%. As principais melhorias foram em relação aos chassis, compressão da mama e visualização de microcalcificações. CONCLUSÃO: Apesar de o Distrito Federal dispor de muitos serviços, na sua maioria não eram de qualidade. A intervenção foi eficaz para a melhoria da qualidade, porém, torna–se necessária uma ação continuada para resolver os problemas restantes e aumentar o impacto. _________________________________________________________________________________ ABSTRACTOBJECTIVE: The present study was aimed at evaluating the quality and the impact of an intervention involving inspection and education in mammography centers of the Federal District, Brazil. MATERIALS AND METHODS: Forty one mammography centers in the Federal District were studied in the period between 2000 and 2002. The intervention involved an initial inspection followed by a training activity and notification of mammography centers by the Federal District Sanitary Vigilance authority. The imaging quality was compared before and after the intervention. RESULTS: None of the 36 centers which completed the study reached more than 90% compliance with the standard imaging quality prior to the interventions, whereas ten were above 90% afterwards. Major improvements were observed in chassis maintenance, breast compression and visualization of microcalcifications. CONCLUSION: Despite the availability of a great number of mammography centers in the Federal District, most of them did not meet the required quality standards. The intervention has shown to be effective for improving the imaging quality, however a continued action is required to solve the remaining problems and increase the impact of the program

Development of a phantom to test fully automated breast density software – a work in progress

Objectives: Mammographic density (MD) is an independent risk factor for breast cancer and may have a future role for stratified screening. Automated software can estimate MD but the relationship between breast thickness reduction and MD is not fully understood. Our aim is to develop a deformable breast phantom to assess automated density software and the impact of breast thickness reduction on MD. Methods: Several different configurations of poly vinyl alcohol (PVAL) phantoms were created. Three methods were used to estimate their density. Raw image data of mammographic images were processed using Volpara to estimate volumetric breast density (VBD%); Hounsfield units (HU) were measured on CT images; and physical density (g/cm3) was calculated using a formula involving mass and volume. Phantom volume versus contact area and phantom volume versus phantom thickness was compared to values of real breasts. Results: Volpara recognized all deformable phantoms as female breasts. However, reducing the phantom thickness caused a change in phantom density and the phantoms were not able to tolerate same level of compression and thickness reduction experienced by female breasts during mammography. Conclusion: Our results are promising as all phantoms resulted in valid data for automated breast density measurement. Further work should be conducted on PVAL and other materials to produce deformable phantoms that mimic female breast structure and density with the ability of being compressed to the same level as female breasts. Advances in knowledge: We are the first group to have produced deformable phantoms that are recognized as breasts by Volpara software