This review focuses on positron emission tomography (PET) imaging algorithms and traces
the evolution of PET image reconstruction methods. First, we provide an overview of …

With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …

Low-dose emission tomography (ET) plays a crucial role in medical imaging, enabling the
acquisition of functional information for various biological processes while minimizing the …

Positron emission tomography (PET) imaging is widely used in medical imaging for
analyzing neurological disorders and related brain diseases. Usually, full-dose imaging for …

Purpose This study aims to develop deep learning techniques on total-body PET to bolster
the feasibility of sedation-free pediatric PET imaging. Methods A deformable 3D U-Net was …

Deep learning (DL)-based denoising of low-dose positron emission tomography (LDPET)
and low-dose computed tomography (LDCT) has been widely explored. However, previous …

Fetal ultrasound (US) four-chamber (FC) views are essential in diagnosing congenital heart
defects (CHD). Gathering a sufficient number of diverse and high-quality fetal US FC views …

This systematic review aimed to evaluate the potential of deep learning algorithms for
converting low-dose Positron Emission Tomography (PET) images to full-dose PET images …

This review presents a detailed examination of the most recent advancements in positron
emission tomography–computed tomography (PET-CT) multimodal imaging over the past …

Due to various physical degradation factors and limited photon counts detected, obtaining
high-quality images from low-dose Positron emission tomography (PET) scans is …