Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Hsin Wu Tseng"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The feasibility of full-scan, offset-detector geometry cone-beam CT has been demonstrated for several clinical applications. For full-scan acquisition with offset-detector geometry, data redundancy from complementary views can be exploited d
Externí odkaz:
https://doaj.org/article/64afc4f3e58a4141836ff39ff97adfaf
Publikováno v:
Tomography, Vol 9, Iss 6, Pp 2039-2051 (2023)
Dedicated cone-beam breast computed tomography (CBBCT) is an emerging modality and provides fully three-dimensional (3D) images of the uncompressed breast at an isotropic voxel resolution. In an effort to translate this modality to breast cancer scre
Externí odkaz:
https://doaj.org/article/306daa40551e4020b08d78bbc44460f8
Publikováno v:
Medical physicsREFERENCES.
Dedicated cone-beam breast computed tomography (CBBCT) using short-scan acquisition is being actively investigated to potentially reduce the radiation dose to the breast. This would require determining the optimal x-ray source trajectory for such sho
Publikováno v:
7th International Conference on Image Formation in X-Ray Computed Tomography.
Publikováno v:
Med Phys
Purpose A clinical-prototype, dedicated, cone-beam breast computed tomography (CBBCT) system with offset detector is undergoing clinical evaluation at our institution. This study is to estimate the normalized glandular dose coefficients ( DgN CT ) th
Publikováno v:
Medical Physics; Mar2023, Vol. 50 Issue 3, p1406-1417, 12p
Publikováno v:
Phys Med
Compressed sensing based iterative reconstruction algorithms for computed tomography such as adaptive steepest descent-projection on convex sets (ASD-POCS) are attractive due to their applicability in incomplete datasets such as sparse-view data and
Publikováno v:
Phys Med Biol
Objective. A dedicated cone-beam breast computed tomography (BCT) using a high-resolution, low-noise detector operating in offset-detector geometry has been developed. This study investigates the effects of varying detector offsets and image reconstr
Publikováno v:
Scientific Reports
To develop and investigate a deep learning approach that uses sparse-view acquisition in dedicated breast computed tomography for radiation dose reduction, we propose a framework that combines 3D sparse-view cone-beam acquisition with a multi-slice r
Publikováno v:
J Xray Sci Technol
BACKGROUND: High-resolution, low-noise detectors with minimal dead-space at chest-wall could improve posterior coverage and microcalcification visibility in dedicated cone-beam breast CT (CBBCT). However, their smaller field-of-view necessitates late