PURPOSE: To characterize the dependence of normalized glandular dose (DgN) on various breast model and image acquisition parameters during spot compression mammography and other partial breast irradiation conditions, and evaluate alternative previously proposed dose-related metrics for this breast imaging modality. METHODS: Using Monte Carlo simulations with both simple homogeneous breast models and patient-specific breasts, three different dose-related metrics for spot compression mammography were compared: the standard DgN, the normalized glandular dose to only the directly irradiated portion of the breast (DgNv), and the DgN obtained by the product of the DgN for full field irradiation and the ratio of the mid-height area of the irradiat...
Purpose To compare, via Monte Carlo simulations, homogeneous and non-homogenous breast models adopt...
Purpose To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a func...
Purpose To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a func...
Purpose - To characterize the dependence of normalized glandular dose (DgN) on various breast model ...
Purpose To characterize the dependence of normalized glandular dose (DgN) on various breast model...
Purpose To characterize the dependence of normalized glandular dose (DgN) on various breast model...
Item does not contain fulltextPURPOSE: To characterize the dependence of normalized glandular dose (...
Purpose To characterize the dependence of normalized glandular dose (DgN) on various breast model...
Purpose: To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a functi...
Mean glandular dose (MGD) is not only determined by the compressed breast thickness (CBT) and the gl...
Purpose: To compare, via Monte Carlo simulations, homogeneous and non-homogenous breast models adopt...
We computed normalized glandular dose (DgN) coefficients for mean glandular dose estimates in contem...
We computed normalized glandular dose (DgN) coefficients for mean glandular dose estimates in contem...
We computed normalized glandular dose (DgN) coefficients for mean glandular dose estimates in contem...
PurposeCurrent dosimetry methods in mammography assume that the breast is comprised of a homogeneous...
Purpose To compare, via Monte Carlo simulations, homogeneous and non-homogenous breast models adopt...
Purpose To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a func...
Purpose To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a func...
Purpose - To characterize the dependence of normalized glandular dose (DgN) on various breast model ...
Purpose To characterize the dependence of normalized glandular dose (DgN) on various breast model...
Purpose To characterize the dependence of normalized glandular dose (DgN) on various breast model...
Item does not contain fulltextPURPOSE: To characterize the dependence of normalized glandular dose (...
Purpose To characterize the dependence of normalized glandular dose (DgN) on various breast model...
Purpose: To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a functi...
Mean glandular dose (MGD) is not only determined by the compressed breast thickness (CBT) and the gl...
Purpose: To compare, via Monte Carlo simulations, homogeneous and non-homogenous breast models adopt...
We computed normalized glandular dose (DgN) coefficients for mean glandular dose estimates in contem...
We computed normalized glandular dose (DgN) coefficients for mean glandular dose estimates in contem...
We computed normalized glandular dose (DgN) coefficients for mean glandular dose estimates in contem...
PurposeCurrent dosimetry methods in mammography assume that the breast is comprised of a homogeneous...
Purpose To compare, via Monte Carlo simulations, homogeneous and non-homogenous breast models adopt...
Purpose To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a func...
Purpose To provide mean glandular dose (MGD) estimates via Monte Carlo (MC) simulations as a func...