Grating-based phase-contrast computed tomography for breast tissue at an inverse compton source
The introduction of mammography screening programs has significantly reduced breast cancer mortality rates. Nevertheless, some lesions remain undetected, especially in dense breast tissue. Studies have shown that phase-contrast imaging can improve breast cancer diagnosis by increasing soft tissue contrast. Furthermore, grating-based phase-contrast imaging enables the simultaneous acquisition of absorption, phase-contrast, and scattering, so-called dark-field images. The latter allows the classification of microcalcifications. In addition, breast computed tomography (BCT) systems can identify and discriminate overlapping but clinically relevant structures. This study investigates the benefit of combining grating-based phase-contrast with BCT. We explore the potential of grating-based phase-contrast breast computed tomography (gbpc-BCT) with a breast phantom and a freshly dissected fibroadenoma. Improved image contrast could be achieved with radiation doses comparable to those used in clinical BCT.
Authors
- Lisa Heck (ORCID: https://orcid.org/0000-0003-0932-1057)
- Martin Dierolf (ORCID: https://orcid.org/0000-0001-5150-2949)
- Johannes Brantl
- Franz Pfeiffer (ORCID: https://orcid.org/0000-0001-6665-4363)
- Klaus Achterhold (ORCID: https://orcid.org/0000-0002-8724-1637)
- Karin Hellerhoff
- Susanne Grandl (ORCID: https://orcid.org/0000-0002-5539-7362)
- Christian Petrich (ORCID: https://orcid.org/0000-0002-5002-4719)
- Julia Herzen (ORCID: https://orcid.org/0000-0002-9456-1591)
- Daniel Berthe (ORCID: https://orcid.org/0000-0001-9634-0605)
- Sandra Resch
- Benedikt Günther
Institutions
- German Red Cross (DE)
- TUM Klinikum (DE)
- Krankenhaus vom Roten Kreuz (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1038/s41598-024-77346-1
- Citations
- 1
- Primary Topic
- Advanced X-ray Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.61
Funders
- Technische Universität München