182 citations · 252 across the 7 of their papers we have counts for
7 papers
Optimizing dual-energy CT technique for iodine-based contrast-to-noise ratio
Fatma Terzioglu, Emil Y. Sidky, Jp Phillips +3
Purpose: This study proposes a systematic method for determining the optimal x-ray tube settings/energy windows and fluence for minimal noise and maximum CNR in material density im…
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
Jonas Teuwen, Nikita Moriakov, Christian Fedon +7
The two-dimensional nature of mammography makes estimation of the overall breast density challenging, and estimation of the true patient-specific radiation dose impossible. Digital…
Imaging of Fiber-Like Structures in Digital Breast Tomosynthesis
Sean D. Rose, Emil Y. Sidky, Ingrid Reiser +1
Fiber-like features are an important aspect of breast imaging. Vessels and ducts are present in all breast images, and spiculations radiating from a mass can indicate malignancy. A…
Reconstruction Algorithm Design for Mitigating the Orientation Dependent Conspicuity of Fiber-Like signals in Digital Breast Tomosynthesis
Sean D. Rose, Ingrid Reiser, Emil Y. Sidky +1
There are a number of clinically relevant tasks in digital breast tomosynthesis (DBT) involving the detection and visual assessment of fiber-like structures such as Cooper's ligame…
Toward optimal X-ray flux utilization in breast CT
Jakob H. Joergensen, Per Christian Hansen, Emil Y. Sidky +2
A realistic computer-simulation of a breast computed tomography (CT) system and subject is constructed. The model is used to investigate the optimal number of views for the scan gi…
Comparison of reconstruction algorithms for digital breast tomosynthesis
I. Reiser, J. Bian, R. M. Nishikawa +2
Digital breast tomosynthesis (DBT) is an emerging modality for breast imaging. A typical tomosynthesis image is reconstructed from projection data acquired at a limited number of v…