The origin ensemble (OE) algorithm is a novel statistical method for minimum-mean-square-error
(MMSE) reconstruction of emission tomography data. This method allows one to …

Abstract Concepts from mathematical crystallography and group theory are used here to
quantize the group of rigid-body motions, resulting in a “motion alphabet” with which robot …

Purpose Digital Reference Objects (DROs) are mathematical phantoms that can serve as a
basis for evaluating MR image quality (IQ) in an objective way. Their main purpose is to …

Spherical Gauss-Laguerre (SGL) basis functions, ie, normalized functions of the type L n−l−1
(l+1∕2)​ (r 2 )r l Y lm (ϑ, φ), | m | ≤ l < n ∈ ℕ $$\vert m\vert \leq l < n \in \mathbb{N}$$ , L n…

Deviations from the MR acquisition guidelines could lead to images with serious quality
concerns such as incompletely imaged anatomies, which might require re-examinations and …

For the X-ray image acquisition one of the most important factors for diagnostic quality is the
patient position with respect to the X-ray tube and the detector. In case of orthopedic lateral …

With the recent advent of methods that allow for real-time computation, dense 3D flows have
become a viable basis for fast camera motion estimation. Most importantly, dense flows are …

We investigated the impact of a CNN-based deep-learning (DL) image de-blurring algorithm
on coronary artery calcium (CAC) detection performance in conventional CT imaging. Our …

Spherical Gauss-Laguerre (SGL) basis functions, ie, normalized functions of the type $L_{nl-1}^{(l
+ 1/2)} (r^2) r^{l} Y_{lm}(\vartheta,\varphi)$, $|m| \leq l < n \in \mathbb{N}$, $L_{nl-1}^{(l …

Fusion of information from PET and MR imaging can increase the diagnostic value of both
modalities. This work sought to improve 18 F FDG PET image quality by using MR Dixon fat-…