Comput Math Methods Med - An object-oriented simulator for 3D digital breast tomosynthesis imaging system.

Tópicos

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Resumo

Digital breast tomosynthesis (DBT) is an innovative imaging modality that provides 3D reconstructed images of breast to detect the breast cancer. Projections obtained with an X-ray source moving in a limited angle interval are used to reconstruct 3D image of breast. Several reconstruction algorithms are available for DBT imaging. Filtered back projection algorithm has traditionally been used to reconstruct images from projections. Iterative reconstruction algorithms such as algebraic reconstruction technique (ART) were later developed. Recently, compressed sensing based methods have been proposed in tomosynthesis imaging problem. We have developed an object-oriented simulator for 3D digital breast tomosynthesis (DBT) imaging system using C++ programming language. The simulator is capable of implementing different iterative and compressed sensing based reconstruction methods on 3D digital tomosynthesis data sets and phantom models. A user friendly graphical user interface (GUI) helps users to select and run the desired methods on the designed phantom models or real data sets. The simulator has been tested on a phantom study that simulates breast tomosynthesis imaging problem. Results obtained with various methods including algebraic reconstruction technique (ART) and total variation regularized reconstruction techniques (ART+TV) are presented. Reconstruction results of the methods are compared both visually and quantitatively by evaluating performances of the methods using mean structural similarity (MSSIM) values.

Resumo Limpo

digit breast tomosynthesi dbt innov imag modal provid d reconstruct imag breast detect breast cancer project obtain xray sourc move limit angl interv use reconstruct d imag breast sever reconstruct algorithm avail dbt imag filter back project algorithm tradit use reconstruct imag project iter reconstruct algorithm algebra reconstruct techniqu art later develop recent compress sens base method propos tomosynthesi imag problem develop objectori simul d digit breast tomosynthesi dbt imag system use c program languag simul capabl implement differ iter compress sens base reconstruct method d digit tomosynthesi data set phantom model user friend graphic user interfac gui help user select run desir method design phantom model real data set simul test phantom studi simul breast tomosynthesi imag problem result obtain various method includ algebra reconstruct techniqu art total variat regular reconstruct techniqu arttv present reconstruct result method compar visual quantit evalu perform method use mean structur similar mssim valu

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