[HTML][HTML] The promise of artificial intelligence and deep learning in PET and SPECT imaging
This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
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 …
A review on AI in PET imaging
K Matsubara, M Ibaraki, M Nemoto, H Watabe… - Annals of Nuclear …, 2022 - Springer
Artificial intelligence (AI) has been applied to various medical imaging tasks, such as
computer-aided diagnosis. Specifically, deep learning techniques such as convolutional …
computer-aided diagnosis. Specifically, deep learning techniques such as convolutional …
Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise
A Mehranian, SD Wollenweber, MD Walker… - European journal of …, 2022 - Springer
Purpose To enhance the image quality of oncology [18F]-FDG PET scans acquired in
shorter times and reconstructed by faster algorithms using deep neural networks. Methods …
shorter times and reconstructed by faster algorithms using deep neural networks. Methods …
[HTML][HTML] Applications of artificial intelligence in nuclear medicine image generation
Z Cheng, J Wen, G Huang, J Yan - Quantitative Imaging in …, 2021 - ncbi.nlm.nih.gov
Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear
medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging …
medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging …
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 …
The evolution of image reconstruction in PET: from filtered back-projection to artificial intelligence
PET is a nuclear-medicine imaging technique that can provide functional images revealing
physiologic processes in vivo. By providing a quantitative measurement of the tracer uptake …
physiologic processes in vivo. By providing a quantitative measurement of the tracer uptake …
State-of-the-art challenges and emerging technologies in radiation detection for nuclear medicine imaging: A review
E Enlow, S Abbaszadeh - Frontiers in Physics, 2023 - frontiersin.org
Single photon emission computed tomography (SPECT) and positron emission tomography
(PET) are established medical imaging modalities that have been implemented for decades …
(PET) are established medical imaging modalities that have been implemented for decades …
Fully 3D implementation of the end-to-end deep image prior-based PET image reconstruction using block iterative algorithm
Objective. Deep image prior (DIP) has recently attracted attention owing to its unsupervised
positron emission tomography (PET) image reconstruction method, which does not require …
positron emission tomography (PET) image reconstruction method, which does not require …
Deep-learning-based fast TOF-PET image reconstruction using direction information
K Ote, F Hashimoto - Radiological Physics and Technology, 2022 - Springer
Although deep learning for application in positron emission tomography (PET) image
reconstruction has attracted the attention of researchers, the image quality must be further …
reconstruction has attracted the attention of researchers, the image quality must be further …