Digital autoradiography (DAR) is a powerful tool to quantitatively determine the distribution
of a radiopharmaceutical within a tissue section and is widely used in drug discovery and …

Digital autoradiography (DAR) is a powerful method to determine quantitatively the “small‐
scale”(ie, submillimeter) distribution of a radiotracer within a tissue section. However, the …

Several noise sources, such as the Johnson–Nyquist noise, affect MR images disturbing the
visualization of structures and affecting the subsequent extraction of radiomic data. We …

There is an increasing demand for high spatial and/or temporal resolution dynamic PET
images in research and clinical settings. Such images often have a low number of acquired …

3239 Introduction: Deep image Prior (DIP) is an unsupervised method for image recovery
and it has been successfully applied to PET image denoising. However, DIP-based methods …

Objective. To simultaneously deblur and supersample prostate specific membrane antigen
(PSMA) positron emission tomography (PET) images using neural blind deconvolution …

Objective Non-blinded image deblurring with deep learning was performed on blurred
numerical brain images without point spread function (PSF) reconstruction to obtain edge …

Objectives Non-local mean (NLM) filtering has been broadly used for denoising of natural
and medical images. The NLM filter relies on the redundant information, in the form of …

571 Objectives: Imaging with radionuclides remains challenging due to limitations of
administered dose and scan time. Recent advancements in machine learning (ML) based …

HighlY constrained backPRojection (HYPR) is a promising image-processing strategy with
widespread application in time-resolved MRI that is also well suited for PET applications …