Description and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images

The World Health Organization indicates the top cause of death is heart disease. These diseases can be detected using several imaging modalities, especially cardiac computed tomography (CT), whose images have imperfections associated with noise and certain artifacts. To minimize impact these on quality CT images, researchers developed digital image processing techniques (DPIT) by which evaluated considering metrics databases (DB), both real simulated. This article describes processes that made it possible to generate utilize six three-dimensional synthetic DBs or voxels-based numerical phantoms. An exhaustive analysis most relevant features left ventricle, belonging a DB human heart, was performed. are recreated in DBs, generating reference phantom ground truth free (DB1) five phantoms, Poisson (DB2), stair-step artifact (DB3), streak (DB4), artifacts (DB5) all (DB6) incorporated. used determine performance DPIT, aimed at decreasing effect images.