New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers.

ABSTRACT: Background The image quality of digital breast tomosynthesis (DBT) volumes depends greatly on the reconstruction algorithm. Purpose To compare two DBT reconstruction algorithms used by the Siemens Mammomat Inspiration system, filtered back projection (FBP), and FBP with iterative optimizations (EMPIRE), using qualitative analysis by human readers and detection performance of machine learning algorithms. Material and Methods Visual grading analysis was performed by four readers specialized in breast imaging who scored 100 cases reconstructed with both algorithms (70 lesions). Scoring (5-point scale: 1 = poor to 5 = excellent quality) was performed on presence of noise and artifacts, visualization of skin-line and Cooper's ligaments, contrast, and image quality, and, when present, lesion vis

SUBMITTER: Rodriguez-Ruiz A 

PROVIDER: S-EPMC6088454 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature