Optimization of x‐ray dark‐field CT for human‐scale lung imaging
This study introduced a task-based metric and a process for DF-CT optimization. We demonstrated that for a given phantom, the detection performance of the system is optimized at a specific ACL. The optimization method and design principles are independent from the underlying dark-field imaging method and can be applied to DF-CT system design using different grating-based implementations such as Talbot-Lau interferometer (TLI) or projective fringe method.
Authors
- Marco Stampanoni (ORCID: https://orcid.org/0000-0001-7486-6681)
- Simon Spindler
- Minghui Hong (ORCID: https://orcid.org/0000-0001-7141-636X)
- Zhenchang Wang (ORCID: https://orcid.org/0000-0001-8190-6469)
- Li Zhang (ORCID: https://orcid.org/0000-0002-9321-3421)
- Yan Xu (ORCID: https://orcid.org/0000-0002-7608-7013)
- Hongxia Yin (ORCID: https://orcid.org/0000-0003-2804-1253)
- M. Rawlik (ORCID: https://orcid.org/0000-0002-1232-4497)
- Longchao Men (ORCID: https://orcid.org/0009-0005-9635-6443)
- Peiyuan Guo (ORCID: https://orcid.org/0009-0007-4751-6062)
- Jincheng Lu
Institutions
- Capital Medical University (CN)
- University of Zurich (CH)
- ETH Zurich (CH)
- Institute for Biomedical Engineering (CH)
- Beijing Friendship Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1002/mp.17630
- Citations
- 2
- Primary Topic
- Advanced X-ray Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China