Regularization of nonlinear decomposition of spectral x‐ray projection images
Medical Physics2017Vol. 44(9), pp. e174–e187
Citations Over TimeTop 10% of 2017 papers
Abstract
The proposed method efficiently solves the nonlinear decomposition problem for spectral CT, which opens up new possibilities such as material-specific regularization in the projection domain and a parallelization framework, in which projections are solved in parallel.
Related Papers
- → Development of a new coordinate calibration phantom for a light-section-based optical surface monitoring system(2023)3 cited
- [Evaluation of therapeutic carbon-beam attenuation in inhomogeneous layered phantoms: Comparison with the present method using a water phantom.].(2006)
- → Information Loss Via Visual Assessment of Radiologic Images Using Modified Version of the Low-Contrast Detailed Phantom at Direct DR System(2017)1 cited
- → 3-D ultrasound calibration using a phantom with reduced complexity(2005)
- → Phantom Development for Comparison of Thermal Mapping(2023)