Proposal of an algorithm to evaluate geometric distortion and artifact spreading in digital breast tomosynthesis
| Autor: | Márcia Rp Attie, Maria do Socorro Nogueira, Reneilson Santos, Greiciane J Cesário, Margarita Chevalier, Lucas Paixão, Divanizia N. Souza |
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| Rok vydání: | 2021 |
| Předmět: |
Artifact (error)
Radiological and Ultrasound Technology business.industry General Medicine Digital Breast Tomosynthesis Geometric distortion Medicine Breast screening Humans Polymethyl Methacrylate Radiology Nuclear Medicine and imaging Computer vision Artificial intelligence business Artifacts Quality assurance Algorithms Aluminum Mammography |
| Zdroj: | Acta radiologica (Stockholm, Sweden : 1987). 63(10) |
| ISSN: | 1600-0455 |
| Popis: | Background According to the European Reference Organization for Quality Assurance Breast Screening and European Diagnostic Services, the spatial accuracy of reconstructed images and reconstruction artifacts must be evaluated in digital breast tomosynthesis (DBT) quality control procedures. Purpose To propose a computational algorithm to evaluate the geometric distortion and artifact spreading (GDAS) in DBT images. Material and Methods The proposed algorithm analyzed tomosynthesis images of a phantom that contains aluminum spheres (1 mm in diameter) arranged in a rectangular matrix spaced 5 cm apart that was inserted in 5-mm-thick polymethylmethacrylate (PMMA). Results The obtained results were compared with the values provided by the algorithm developed by the National Coordinating Center for the Physics of Mammography (NCCPM). In the comparison, the results depended on the dimensions of the region of interest (ROI). This dependence proves the benefit of the proposed algorithm because it allows the user to select the ROI. Conclusion The computational algorithm proved to be useful for the evaluation of GDAS in DBT images, in the same way as the reference algorithm (NCCPM), as well as allowing the selection of the ROI dimensions that best suit the spreading of the artifact in the analyzed images. |
| Databáze: | OpenAIRE |
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