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.

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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
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article

Simultaneous reduction of radiation dose and scatter-to-primary ratio using a truncated detector and advanced algorithms for dedicated cone-beam breast CT

Srinivasan Vedantham, Hsin Wu Tseng, Zhiyang Fu
Biomedical Physics & Engineering Express
Digital Radiography and Breast Imaging
article

Simultaneous reduction of radiation dose and scatter-to-primary ratio using a truncated detector and advanced algorithms for dedicated cone-beam breast CT

Srinivasan Vedantham, Hsin Wu Tseng, Zhiyang Fu
article en

Abstract

<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.

Biomedical Physics & Engineering ExpressVol. 11(2)
University of Arizona (US), Tucson Medical Center (US), Banner - University Medical Center Tucson (US)
Openalex Percentile: Top 95%
Digital Radiography and Breast Imaging
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