Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
Image processing plays a crucial role in maximising diagnostic quality of positron emission
tomography (PET) images. Recently, deep learning methods developed across many fields …
tomography (PET) images. Recently, deep learning methods developed across many fields …
Advances in PET/CT technology: an update
N Aide, C Lasnon, C Desmonts, IS Armstrong… - Seminars in nuclear …, 2022 - Elsevier
This article reviews the current evolution and future directions in PET/CT technology
focusing on three areas: time of flight, image reconstruction, and data-driven gating. Image …
focusing on three areas: time of flight, image reconstruction, and data-driven gating. Image …
Deep‐TOF‐PET: Deep learning‐guided generation of time‐of‐flight from non‐TOF brain PET images in the image and projection domains
We aim to synthesize brain time‐of‐flight (TOF) PET images/sinograms from their
corresponding non‐TOF information in the image space (IS) and sinogram space (SS) to …
corresponding non‐TOF information in the image space (IS) and sinogram space (SS) to …
Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models
Purpose To provide a holistic and complete comparison of the five most advanced AI models
in the augmentation of low-dose 18F-FDG PET data over the entire dose reduction …
in the augmentation of low-dose 18F-FDG PET data over the entire dose reduction …
Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT
Purpose We investigated whether artificial intelligence (AI)-based denoising halves PET
acquisition time in digital PET/CT. Methods One hundred ninety-five patients referred for …
acquisition time in digital PET/CT. Methods One hundred ninety-five patients referred for …
Artificial intelligence for PET and SPECT image enhancement
Nuclear medicine imaging modalities such as PET and SPECT are confounded by high
noise levels and low spatial resolution, necessitating postreconstruction image …
noise levels and low spatial resolution, necessitating postreconstruction image …
Deep learning-based PET image denoising and reconstruction: a review
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 …
the evolution of PET image reconstruction methods. First, we provide an overview of …
Generative adversarial network (generative artificial intelligence) in pediatric radiology: A systematic review
CKC Ng - Children, 2023 - mdpi.com
Generative artificial intelligence, especially with regard to the generative adversarial network
(GAN), is an important research area in radiology as evidenced by a number of literature …
(GAN), is an important research area in radiology as evidenced by a number of literature …
Generative Adversarial Network–Enhanced Ultra-Low-Dose [18F]-PI-2620 τ PET/MRI in Aging and Neurodegenerative Populations
BACKGROUND AND PURPOSE: With the utility of hybrid τ PET/MR imaging in the
screening, diagnosis, and follow-up of individuals with neurodegenerative diseases, we …
screening, diagnosis, and follow-up of individuals with neurodegenerative diseases, we …
Current and future use of long axial field-of-view positron emission tomography/computed tomography scanners in clinical oncology
M Roya, S Mostafapour, P Mohr, L Providência, Z Li… - Cancers, 2023 - mdpi.com
Simple Summary Recently: long axial field-of-view (LAFOV) positron emission tomography
(PET) scanners have been introduced. Compared with conventional short axial field-of-view …
(PET) scanners have been introduced. Compared with conventional short axial field-of-view …