Simultaneous reduction of radiation dose and scatter-to-primary ratio using a truncated detector and advanced algorithms for dedicated cone-beam breast CT
<i>Objective</i>. To determine the minimum detector width along the fan-angle direction in offset-detector cone-beam breast CT for multiple advanced reconstruction algorithms and to investigate the effect on radiation dose, scatter, and image quality.<i>Approach.</i>Complete sinograms (<i>m</i>×<i>n</i>= 1024 × 768 pixels) of 30 clinical breast CT datasets previously acquired on a clinical-prototype cone-beam breast CT system were reconstructed using Feldkamp-Davis-Kress (FDK) algorithm and served as the reference. Complete sinograms were retrospectively truncated to varying widths to understand the limits of four image reconstruction algorithms-FDK with redundancy weighting (FDK-W), compressed-sensing based FRIST, fully-supervised MS-RDN, and self-supervised AFN. Upon determining the truncation limits, numerical phantoms generated by segmenting the reference reconstructions into skin, adipose, and fibroglandular tissues were used to determine the radiation dose and scatter-to-primary ratio (SPR) using Monte Carlo simulations.<i>Main results.</i>FDK-W, FRIST, and MS-RDN showed artifacts when<i>m</i>< 596, whereas AFN reconstructed images without artifacts for<i>m</i>> = 536. Reducing the detector width reduced signal-difference to noise ratio (SDNR) for FDK-W, whereas FRIST, MS-RDN and AFN maintained or improved SDNR. Reference reconstruction and AFN with<i>m</i>= 536 had similar quantitative measures of image quality.<i>Significance.</i>For the 30 cases, AFN with<i>m</i>= 536 reduced the radiation dose and SPR by 37.85% and 33.46%, respectively, compared to the reference. Qualitative and quantitative image quality indicate the feasibility of AFN for offset-detector cone-beam breast CT. Radiation dose and SPR were simultaneously reduced with a 536 × 768 detector and when used in conjunction with AFN algorithm had similar image quality as the reference reconstruction.
Authors
- Srinivasan Vedantham (ORCID: https://orcid.org/0000-0003-4123-8392)
- Hsin Wu Tseng (ORCID: https://orcid.org/0000-0002-2892-1288)
- Zhiyang Fu (ORCID: https://orcid.org/0000-0003-4568-6547)
Institutions
- University of Arizona (US)
- Tucson Medical Center (US)
- Banner - University Medical Center Tucson (US)
Publication Details
- Journal
- Biomedical Physics & Engineering Express
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1088/2057-1976/adb8f1
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00