AIMC Topic: Positron-Emission Tomography
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Evaluation of monolithic crystal detector with dual-ended readout utilizing multiplexing method.
Physics in medicine and biology
Apr 3, 2024
Monolithic crystal detectors are increasingly being applied in positron emission tomography (PET) devices owing to their excellent depth-of-interaction (DOI) resolution capabilities and high detection efficiency. In this study, we constructed and eva...
Semi-supervised learning towards automated segmentation of PET images with limited annotations: application to lymphoma patients.
Physical and engineering sciences in medicine
Mar 21, 2024
Manual segmentation poses a time-consuming challenge for disease quantification, therapy evaluation, treatment planning, and outcome prediction. Convolutional neural networks (CNNs) hold promise in accurately identifying tumor locations and boundarie...
Evaluation metrics and statistical tests for machine learning.
Scientific reports
Mar 13, 2024
Research on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML models and co...
Advanced hybrid attention-based deep learning network with heuristic algorithm for adaptive CT and PET image fusion in lung cancer detection.
Medical engineering & physics
Mar 4, 2024
Lung cancer is one of the most deadly diseases in the world. Lung cancer detection can save the patient's life. Despite being the best imaging tool in the medical sector, clinicians find it challenging to interpret and detect cancer from Computed Tom...
Recovery of the spatially-variant deformations in dual-panel PET reconstructions using deep-learning.
Physics in medicine and biology
Feb 28, 2024
Dual panel PET systems, such as Breast-PET (B-PET) scanner, exhibit strong asymmetric and anisotropic spatially-variant deformations in the reconstructed images due to the limited-angle data and strong depth of interaction effects for the oblique LOR...
Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis.
Nuclear medicine communications
Feb 19, 2024
METHODS: 18F-FDG brain PET and clinical score were collected in 85 patients with dementia and 125 healthy controls (HC). Patients were assigned to various form of dementia on the basis of clinical evaluation, follow-up and voxels comparison with HC u...
Artificial intelligence in immunotherapy PET/SPECT imaging.
European radiology
Feb 15, 2024
OBJECTIVE: Immunotherapy has dramatically altered the therapeutic landscape for oncology, but more research is needed to identify patients who are likely to achieve durable clinical benefit and those who may develop unacceptable side effects. We inve...
Attenuation correction and truncation completion for breast PET/MR imaging using deep learning.
Physics in medicine and biology
Feb 15, 2024
. Simultaneous PET/MR scanners combine the high sensitivity of MR imaging with the functional imaging of PET. However, attenuation correction of breast PET/MR imaging is technically challenging. The purpose of this study is to establish a robust atte...
Empowering PET: harnessing deep learning for improved clinical insight.
European radiology experimental
Feb 7, 2024
This review aims to take a journey into the transformative impact of artificial intelligence (AI) on positron emission tomography (PET) imaging. To this scope, a broad overview of AI applications in the field of nuclear medicine and a thorough explor...
Quasi-supervised learning for super-resolution PET.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 6, 2024
Low resolution of positron emission tomography (PET) limits its diagnostic performance. Deep learning has been successfully applied to achieve super-resolution PET. However, commonly used supervised learning methods in this context require many pairs...
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