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Dedicated Cone-Beam Breast CT: Reproducibility of Volumetric Glandular Fraction with Advanced Image Reconstruction
Srinivasan Vedantham1,2, Hsin Wu Tseng1, Zhiyang Fu1
1Department of Medical Imaging, University of Arizona, Tucson, AZ 85724, USA.
Tomography (Ann Arbor, Mich.)
|November 21, 2023
Summary
Dedicated cone-beam breast computed tomography (CBBCT) offers 3D imaging for breast cancer screening. Advanced reconstruction methods accurately reproduce volumetric glandular fraction (VGF), a key breast density measure for risk assessment.
Area of Science:
- Medical Imaging
- Radiology
- Computational Imaging
Background:
- Dedicated cone-beam breast computed tomography (CBBCT) is an emerging 3D imaging modality for uncompressed breasts.
- Radiographic breast density is a known risk factor for breast cancer.
- Accurate volumetric breast density assessment is crucial for risk stratification.
Purpose of the Study:
- To investigate the reproducibility of volumetric glandular fraction (VGF) using different image reconstruction methods in CBBCT.
- To compare advanced reconstruction algorithms against the standard Feldkamp-Davis-Kress (FDK) method for VGF calculation.
Main Methods:
- Four reconstruction methods were evaluated: FDK, FRIST (compressed sensing), MS-RDN (deep learning), and N2N (self-supervised learning).
- Projection datasets from 106 women were reconstructed at an isotropic voxel size of 0.273 mm³.
- Breast volumes were segmented to compute VGF, the ratio of fibroglandular tissue to total breast volume (excluding skin).
Main Results:
- No significant differences in VGF were observed among the four reconstruction methods (p = 0.167).
- Advanced reconstruction algorithms (FRIST, MS-RDN, N2N) showed no significant difference compared to the standard FDK method (p > 0.862).
- All tested methods reliably reproduced VGF, indicating consistent quantitative breast density assessment.
Conclusions:
- Advanced image reconstruction algorithms for low-dose CBBCT can accurately reproduce VGF.
- These methods provide reliable quantitative breast density measurements for breast cancer risk estimation.
- The findings support the clinical translation of CBBCT with advanced reconstruction for breast cancer screening and risk assessment.
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