AIMC Topic: Positron-Emission Tomography
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[[PET] 9. Current Status of the Artificial Intelligence Image Reconstruction on Clinical PET Equipment].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jan 1, 2024
Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer's Disease.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
Alzheimer's disease (AD) is a chronic neurodegenerative disorder with a global impact. The past few decades have witnessed significant strides in comprehending the underlying pathophysiological mechanisms and developing diagnostic methodologies for A...
MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.
Radiology
Oct 1, 2023
Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disease, but incurs considerable cost and exposure to ionizing radiation. MRI currently has limited use in characterizing ATN status. Deep learning techniq...
[To promote the clinical application of PET/MRI in oncology].
Zhonghua yi xue za zhi
Sep 5, 2023
PET/MRI integrates anatomical, functional and metabolic information, and is increasingly used in the field of clinical oncology, including early diagnosis of disease, local staging, detection of systemic metastases, evaluation of treatment efficacy a...
Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction.
Cell reports. Medicine
Jul 18, 2023
Fast and low-dose reconstructions of medical images are highly desired in clinical routines. We propose a hybrid deep-learning and iterative reconstruction (hybrid DL-IR) framework and apply it for fast magnetic resonance imaging (MRI), fast positron...
Performance of a deep learning enhancement method applied to PET images acquired with a reduced acquisition time.
Nuclear medicine review. Central & Eastern Europe
Jan 1, 2023
BACKGROUND: This study aims to evaluate the performance of a deep learning enhancement method in PET images reconstructed with a shorter acquisition time, and different reconstruction algorithms. The impact of the enhancement on clinical decisions wa...
[[PET] 6. Overview of Clinical Applications of Artificial Intelligence in PET].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jan 1, 2023
Artificial intelligence in Nuclear Medicine Physics and Imaging.
Hellenic journal of nuclear medicine
Jan 1, 2023
No one can deny the significant impact of artificial intelligence (AI) on everyday life, especially in the health sector where it has emerged as a crucial and beneficial tool in Nuclear Medicine (NM) and molecular imaging. The objective of this revie...
A Lightweight Low-dose PET Image Super-resolution Reconstruction Method based on Convolutional Neural Network.
Current medical imaging
Jan 1, 2023
BACKGROUND: PET imaging is one of the most widely used neurological disease screening and diagnosis techniques.
Artificial Intelligence in Vascular-PET:: Translational and Clinical Applications.
PET clinics
Jan 1, 2022
Positron emission tomography (PET) offers an incredible wealth of diverse research applications in vascular disease, providing a depth of molecular, functional, structural, and spatial information. Despite this, vascular PET imaging has not yet assum...
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