The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …

Sparse-view CT reconstruction algorithms via total variation (TV) optimize the data iteratively
on the basis of a noise-and artifact-reducing model, resulting in significant radiation dose …

We propose a new algorithmic approach to the non-smooth and non-convex Potts problem
(also called piecewise-constant Mumford–Shah problem) for inverse imaging problems. We …

Objective: This work examines the claim made in the literature that the inverse problem
associated with image reconstruction in sparse-view computed tomography (CT) can be …

Purpose Quantitative SPECT for patient-specific dosimetry is a valuable tool in the scope of
radionuclide therapy, although its clinical application for 225Ac-based treatments may be …

Uncompressed clinical data from modern positron emission tomography (PET) scanners are
very large, exceeding 350 million data points (projection bins). The last decades have seen …

Interest remains in reconstruction-algorithm research and development for possible
improvement of image quality in current PET imaging and for enabling innovative PET …

Radioiodine therapy using I-131 is widely used for treatment of thyroid disease or
neuroendocrine tumors. Monitoring treatment by accurate dosimetry requires quantitative …

Targeted alpha (α) therapy (TAT) is an emerging therapeutic strategy for cancer treatment.
To evaluate the safety and efficacy of targeted α‐therapy, the biodistribution and internal …

Objective: We investigate an optimization-based approach to image reconstruction from list-
mode data in digital time-of-flight (TOF) positron emission tomography (PET) imaging …