Magnus Dustler
Researcher
Evaluation of digital breast tomosynthesis systems
Author
Editor
- Guang-Hong Chen
- Hilde Bosmans
Summary, in English
In this study, two digital breast tomosynthesis (DBT) systems were evaluated: Siemens Mammomat Inspiration TOMO (Siemens Healthineers, Erlangen, Germany) and GE Senographe Pristina (GE, Buc, France). Along with differences such as angular range and detectors type, the systems use different reconstruction algorithms. One was available for the GE system, based on iterative reconstruction (IR). Two algorithms were available for the Siemens system: TOMO_STANDARD, using filtered back projection (FBP) and EMPIRE, FBP with statistically based artifact reduction. Two commercially available DBT phantoms (CIRS model 020 & 021), with heterogeneous and homogenous background respectively, were used to calculate signal-difference-to-noise-ratio (SDNR) in key structures for varying phantom thickness (30, 45 & 70 mm) and average glandular dose (AGD). Key phantom structures include calcifications and lesion masses of different sizes. Results show a positive correlation between SDNR and AGD except for the EMPIRE algorithm where there was a negative SDNR/AGD trend for one of the microcalcification specks in the heterogeneous phantom. The highest overall SDNR was acquired using the EMPIRE algorithm. Both systems are well within the recommended dose limits but could increase their dose levels in order to achieve higher SDNR. This indicates that there may be room for dose optimization in DBT systems used in screening programs, confirming the importance of continuous evaluation and optimization.
Department/s
- Medical Radiation Physics, Malmö
- LUCC: Lund University Cancer Centre
Publishing year
2020
Language
English
Publication/Series
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume
11312
Document type
Conference paper
Publisher
SPIE
Topic
- Radiology, Nuclear Medicine and Medical Imaging
Keywords
- Breast Imaging
- Breast Screening
- DBT
- Digital breast tomosynthesis
- Dose optimization
Conference name
Medical Imaging 2020: Physics of Medical Imaging
Conference date
2020-02-16 - 2020-02-19
Conference place
Houston, United States
Status
Published
Research group
- Medical Radiation Physics, Malmö
ISBN/ISSN/Other
- ISSN: 1605-7422
- ISBN: 9781510633919