Generative adversarial models with convolutional neural network (CNN) backbones have
recently been established as state-of-the-art in numerous medical image synthesis tasks …

Attenuation correction has been one of the main methodological challenges in the
integrated positron emission tomography and magnetic resonance imaging (PET/MRI) field …

Background: CT scans are often the first and only form of brain imaging that is performed to
inform treatment plans for neurological patients due to its time-and cost-effective nature …

Multimodal medical images can be used in a multifaceted approach to resolve a wide range
of medical diagnostic problems. However, these images are generally difficult to obtain due …

Despite being thirteen years since the installation of the first PET-MR system, the scanners
constitute a very small proportion of the total hybrid PET systems installed. This is in stark …

Purpose This study aims to evaluate the impact of key parameters on the pseudo computed
tomography (pCT) quality generated from magnetic resonance imaging (MRI) with a 3 …

The assessment of the quality of synthesised/pseudo Computed Tomography (pCT) images
is commonly measured by an intensity-wise similarity between the ground truth CT and the …

Identifying white matter (WM) tracts to locate eloquent areas for preoperative surgical
planning is a challenging task. Manual WM tract annotations are often used but they are time …

Low-count Positron Emission Tomography reconstruction is critical for maintaining high
imaging quality while minimizing tracer doses and radiation exposure. Although integrating …

This paper strives to generate a synthetic computed tomography (CT) image from a
magnetic resonance (MR) image. The synthetic CT image is valuable for radiotherapy …