Experimental Measurements of the Attenuation Coefficients of Breast Tissues and their Influence on Contrast and Mammographic Dose

O estudo e a determinação das propriedades de atenuação de tecidos mamários são fundamentais para o entendimento e para a quantificação do contraste e da dose absorvida em um exame mamográfico. A proposta deste trabalho é determinar experimentalmente os coeficientes de atenuação de tecidos mamários e, posteriormente, incorporar esses resultados a um modelo teórico-analítico que possibilite o estudo da influência de diversos parâmetros no contraste de objetos e na dose em mamografia. Dentre os fatores de estudo, destacam-se as características da mama (geometria e composição), a técnica radiográfica, a combinação ânodo-filtro e o receptor de imagem. Os coeficientes de atenuação foram medidos usando geometria de feixe estreito, no intervalo de energia entre 8 e 30 keV, utilizando um difratômetro de raios-X 4-círculos P3 Nicolet-Siemens e um monocromador de Si (111). Para essas medidas foram utilizadas 63 amostras de tecidos mamários (classificadas previamente como tecidos normais, fibroadenomas e/ou diferentes tipos de carcinomas). Os coeficientes de atenuação medidos foram comparados com predições teóricas, obtidas usando a regra das misturas, e com dados experimentais previamente publicados. O modelo desenvolvido para o contraste objeto leva em conta as contribuições primária e secundária na radiação transmitida. A dose média absorvida foi estimada através de duas aproximações, que permitem predizer os limites superior e inferior, e de uma aproximação mais completa, que inclui as componentes espalhadas simples e duplas. O modelo desenvolvido neste trabalho permite a obtenção de resultados de forma simples e rápida, com valores similares aos obtidos por simulação Monte Carlo, bem como definir limites de detecção de massas tumorais.The study and determination of attenuation properties of breast tissues are fundamental to understand and quantify contrast and absorbed dose in the mammographic examination. The purpose of this work is to experimentally determine the attenuation coefficient of breast tissues, and then to include these results into a theoretical analytical model, in order to study the influence of several parameters on subject contrast and dose in mammography. Among the parameters studied, one can emphasize the breast characteristics (geometry and composition), the radiographic technique, the target-filter combination and the image receptor. The attenuation coefficients were measured using narrow beam geometry, within the energy range of 8-30 keV, using an x-ray diffractometer 4-circle P3 Nicolet-Siemens and a monocromator of Si (111). For these measurements were analyzed 63 breast tissue samples (previously classified as normal tissues, fibroadenomas and several types of carcinomas). The linear attenuation coefficients measured were compared with theoretical predictions obtained from the mixture rule, and with experimental data previously published. The developed model to the subject contrast takes into account the primary and scattered contribution of the transmitted radiation. The average absorbed dose was estimated considering two simplified approaches, which allowed to predict upper and lower limit values, and a more complete approach, which included the contribution of single and double scattered radiation. The analytical model developed in this work provided results in a fast and simple way, with a good agreement with those reported by others authors who had used Monte Carlo simulation, as well it allowed to define limit values for detection of tumor masses

Semianalytical study of image quality and dose in mamography

Neste trabalho, foram desenvolvidos modelos semianalíticos para estudar os parâmetros de qualidade da imagem (contraste objeto, SC, e razão contraste-ruído, CNR) e a dose glandular normalizada (DgN ) em mamografia convencional e digital. As características de 161 amostras de tecidos mamários (coeficiente de atenuação linear e densidade) e os espectros de raios X mamográficos foram determinados experimentalmente, visando construir uma base de dados consistente destas grandezas para serem utilizadas nos modelos. Os coeficientes de atenuação linear foram determinados utilizando um feixe de raios X polienergético e um detector de Si(Li), e as densidades foram medidas utilizando o método da pesagem hidrostática. Os espectros de raios X de um equipamento industrial, que simula as qualidades de radiação de mamografia, foram medidos utilizando detectores de Si(Li), CdTe e SDD. A resposta de cada detector foi determinada por simulação Monte Carlo (MC). Os modelos semianalíticos desenvolvidos neste trabalho permitem calcular a deposição de energia na mama e no receptor de imagem, e foram utilizados para estudar o SC, a CNR e a DgN, para diferentes tipos de mama (espessura e glandularidade) e características do espectro incidente (combinação ânodo/filtro, potencial do tubo e camada semirredutora), bem como permitem avaliar a figura de mérito (FOM) em mamografia convencional e digital. Os resultados de coeficiente de atenuação e densidade para os diferentes grupos de tecidos mamários, mostram que os tecidos normais fibroglandulares e neoplásicos possuem características similares, enquanto tecidos normais adiposos apresentam menores valores destas grandezas. Os espectros medidos com cada detector, e devidamente corrigidos por suas respostas, mostram que os três tipos de detectores podem ser usados para determinar espectros mamográficos. Com base nos resultados de SC e CNR, foram estimados limites de detecção de nódulos em mamografia convencional e digital, que se mostraram similares entre si. Os resultados de SC, CNR e DgN obtidos também destacam a importância da escolha do modelo da mama e da base de dados de coeficiente de atenuação e espectros de raios X utilizados, uma vez que estes são responsáveis por uma grande variação nas grandezas estudadas. Além disso, os resultados de FOM mostram que, para mamas finas, a combinação Mo/Mo, tradicionalmente utilizada, apresenta o melhor desempenho, enquanto as combinações W/Rh e W/Ag são as mais indicadas para mamas espessas. Para mamas de espessuras médias, a melhor combinação depende da técnica utilizada (convencional ou digital). Finalmente, verificou-se que os modelos semianalíticos desenvolvidos permitem a obtenção de resultados de forma prática e rápida, com valores similares aos obtidos por simulação MC. Desta forma, estes modelos permitirão estudos futuros a respeito da otimização da mamografia, para outros tipos de mama e condições de irradiação.In this work, semianalytical models were developed to study the image quality parameters (subject contrast, SC, and contrast-to-noise ratio, CNR) and the normalized average glandular dose (DgN) in conventional and digital mammography. The characteristics of 161 breast tissue samples (linear attenuation coefficient and density), and the mammographic x-ray spectra were determined experimentally, aiming to establish a consistent experimental database of these quantities to be used in the models. The linear attenuation coefficients were determined using a polyenergetic x-ray beam and a Si(Li) detector, and the densities were measured using the buoyancy method. The x-ray spectra from an industrial equipment, which reproduces the mammographic qualities, were measured using Si(Li), CdTe and SDD detectors. The responses of the detectors were determined using Monte Carlo (MC) simulation. The semianalytical models developed in this work allow computing the energy deposited in the breast and in the image receptor, and they were employed to study the SC, CNR and DgN, for different types of breast (thickness and glandularity) and incident x-ray spectra (anode/filter combination, tube potential and half-value layer). These models also allow evaluating the figure of merit (FOM) for conventional and digital mammography. The results of attenuation coefficient and density for the tissues analyzed show similar characteristics for the normal fibroglandular and neoplasic breast tissues, while the adipose tissue presents lower values of these quantities. From the x-ray spectra obtained using each detector, and corrected by their respective responses, it is observed that the three types of detectors can be used to determine mammographic spectra. Detection limits for nodules were estimated from the results of SC and CNR, and they were similar for both cases. The results of SC, CNR and DgN also show the importance of the choice of the breast model, and of the database of attenuation coefficient of breast tissues and x-ray spectra, since they largely influence the studied quantities. Besides, the results for FOM show that, for thin breasts, the Mo/Mo spectrum exhibits the better performance, while the W/Rh and W/Ag spectra are recommended for thicker breasts. For average thickness breasts, the more indicated spectra depend on the employed technique (conventional or digital). Finally, it was verified that the semianalytical models developed in this work provided results in a fast and simple way, with a good agreement with those obtained by using MC simulation. Therefore, these models allow further studies, regarding optimization of mammography, for other breast characteristics and irradiation parameters

Adding tissue variability to digital breast phantoms for mammography and digital breast tomosynthesis simulations

Intra- and inter-patient tissue variability are seldom implemented in digital phantoms for imaging simulations, which can lead to issues when developing and evaluating material differentiation methods. In this work, we evaluated two methods for generating variability in tissue attenuation properties based on measured properties of human tissue. Our goal is to find a sampling method that generates attenuation curves within measured distributions. The first approach parameterizes tissue attenuation curves as a linear combination of aluminum and PMMA. The second approach is based on the Midgley decomposition model, where the attenuation curve is expressed in terms of five coefficients. Attenuation curves were generated by sampling the two- and five-parameter spaces, and they were compared to previous measurements in ex-vivo adipose tissue acquired at 8, 11, 15, 20 and 30 keV. The average differences of the sampled curves relative to the measurements were 1.68% (2-parameter) and 1.31% (5-parameter), and the absolute differences in coefficients of variation were under 2% for both methods. These results indicate that both methods captured the variability present in measured attenuation curves. This study provides preliminary insights into the effectiveness of two methods for adding tissue variability to imaging simulations.</p

Application of a semi-empirical model for the evaluation of transmission properties of barite mortar

FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOThe aim of this study was to estimate barite mortar attenuation curves using X-ray spectra weighted by a workload distribution. A semi-empirical model was used for the evaluation of transmission properties of this material. Since ambient dose equivalent, H*(10), is the radiation quantity adopted by IAEA for dose assessment, the variation of the H*(10) as a function of barite mortar thickness was calculated using primary experimental spectra. A CdTe detector was used for the measurement of these spectra. The resulting spectra were adopted for estimating the optimized thickness of protective barrier needed for shielding an area in an X-ray imaging facility. (C) 2015 Elsevier Ltd. All rights reserved.The aim of this study was to estimate barite mortar attenuation curves using X-ray spectra weighted by a workload distribution. A semi-empirical model was used for the evaluation of transmission properties of this material. Since ambient dose equivalent, H*(10), is the radiation quantity adopted by IAEA for dose assessment, the variation of the H*(10) as a function of barite mortar thickness was calculated using primary experimental spectra. A CdTe detector was used for the measurement of these spectra. The resulting spectra were adopted for estimating the optimized thickness of protective barrier needed for shielding an area in an X-ray imaging facility.The aim of this study was to estimate barite mortar attenuation curves using X-ray spectra weighted by a workload distribution. A semi-empirical model was used for the evaluation of transmission properties of this material. Since ambient dose equivalent, H*(10), is the radiation quantity adopted by IAEA for dose assessment, the variation of the H*(10) as a function of barite mortar thickness was calculated using primary experimental spectra. A CdTe detector was used for the measurement of these spectra. The resulting spectra were adopted for estimating the optimized thickness of protective barrier needed for shielding an area in an X-ray imaging facility.1003842FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP [2011/04721-9]2010/12237-7; 2011/04721-9312029/2009-8The authors thank FAPESP for financial support under project number 2011/04721-9 and research regular project 2010/12237-7, CNPq for support through the project 312029/2009-8 and CNPq/FAPESP funding of project by INCT-Metrology of ionizing radiation in medicine. The authors also thanks Alejandro Gonzales and Daniel Cruz for their contribution on spectra measurements

Diagnostic reference level quantities for adult chest and abdomen-pelvis CT examinations: correlation with organ doses

Key points 1. DRL quantities and target-organ doses can support guidance’s to optimization criteria. 2. Organ doses inside imaged area are higher than in other regions. 3. Statistical significance between organ doses and the DRL quantities are presented. 4. Results reinforce the importance on the adequate choice of the scan length