Artificial Intelligence and Deep Learning in PET/CT Imaging

Dear Colleagues,

Artificial intelligence (AI), and in particular deep learning, is a technological revolution that has the potential to greatly impact the field of positron emission tomography (PET).

PET is a powerful imaging technique that uses the injection of radiotracers to explore metabolic functions at the molecular level. It is widely used in a variety of clinical situations, such as oncology, neurology, internal medicine, and cardiology, due to its sensitivity and specificity. The technique continues to be improved in terms of both physics and radiopharmaceuticals to make it more accurate, efficient and widely accessible.

On the software side, advances in AI and deep learning are expected to have a major impact on PET. The use of these technologies can lead to advancements in data simulation, pre-processing and reconstruction, attenuation correction, registration, and multimodality imaging, noise reduction and signal enhancement, organ segmentation, lesion detection, segmentation, and classification, therapeutic monitoring, and prediction. This will allow for more accurate and efficient analysis of PET images, leading to better diagnoses and improved patient care.

The field of AI and deep learning in medical imaging is rapidly evolving and it is expected to have a significant impact in the field of medical imaging and patient care. In this journal, we will focus on the current state of the art, the latest developments and the future perspectives of the integration of AI and deep learning in positron emission tomography.

Dr. Pierre Decazes
Dr. Romain Modzelewski
Guest Editors

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• positron emission tomography (PET)
• PET-CT
• PET-MRI
• artificial intelligence
• machine learning
• deep learning (DL)
• neural network (NN)
• convolutional neural network (CNN)
• generative adversarial network (GAN)
• attenuation correction
• image reconstruction
• image denoising
• image segmentation
• scatter correction
• partial-volume correction
• motion correction
• simulation
• dynamic PET
• kinetic modeling