AIMC Topic: Positron-Emission Tomography
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A look at radiation detectors and their applications in medical imaging.
Japanese journal of radiology
Sep 21, 2023
The effectiveness and precision of disease diagnosis and treatment have increased, thanks to developments in clinical imaging over the past few decades. Science is developing and progressing steadily in imaging modalities, and effective outcomes are ...
Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning.
European journal of nuclear medicine and molecular imaging
Sep 6, 2023
PURPOSE: The axial field of view (AFOV) of a positron emission tomography (PET) scanner greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) with a large AFOV is more sensitive, it is more expensive and difficult t...
AI for PET image reconstruction.
The British journal of radiology
Sep 4, 2023
Image reconstruction for positron emission tomography (PET) has been developed over many decades, with advances coming from improved modelling of the data statistics and improved modelling of the imaging physics. However, high noise and limited spati...
Deep-learning predicted PET can be subtracted from the true clinical fluorodeoxyglucose PET co-registered to MRI to identify the epileptogenic zone in focal epilepsy.
Epilepsia open
Aug 29, 2023
OBJECTIVE: Normal interictal [ F]FDG-PET can be predicted from the corresponding T1w MRI with Generative Adversarial Networks (GANs). A technique we call SIPCOM (Subtraction Interictal PET Co-registered to MRI) can then be used to compare epilepsy pa...
Self-supervised deep learning for joint 3D low-dose PET/CT image denoising.
Computers in biology and medicine
Aug 26, 2023
Deep learning (DL)-based denoising of low-dose positron emission tomography (LDPET) and low-dose computed tomography (LDCT) has been widely explored. However, previous methods have focused only on single modality denoising, neglecting the possibility...
Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study.
European journal of nuclear medicine and molecular imaging
Aug 22, 2023
OBJECTIVE: To develop and independently externally validate robust prognostic imaging biomarkers distilled from PET images using deep learning techniques for precise survival prediction in patients with diffuse large B cell lymphoma (DLBCL).
The Clinical Added Value of Breast Cancer Imaging Using Hybrid PET/MR Imaging.
Magnetic resonance imaging clinics of North America
Aug 7, 2023
Dedicated MR imaging is highly performant for the evaluation of the primary lesion and should regularly be added to whole-body PET/MR imaging for the initial staging. PET/MR imaging is highly sensitive for the detection of nodal involvement and could...
Prediction of lymphoma response to CAR T cells by deep learning-based image analysis.
PloS one
Jul 21, 2023
Clinical prognostic scoring systems have limited utility for predicting treatment outcomes in lymphomas. We therefore tested the feasibility of a deep-learning (DL)-based image analysis methodology on pre-treatment diagnostic computed tomography (dCT...
Improvement of phoswich detector-based β+/γ-ray discrimination algorithm with deep learning.
Medical physics
Jul 19, 2023
BACKGROUND: Positron probes can accurately localize malignant tumors by directly detecting positrons emitted from positron-emitting radiopharmaceuticals that accumulate in malignant tumors. In the conventional method for direct positron detection, mu...
Feasibility of a deep learning algorithm to achieve the low-dose Ga-FAPI/the fast-scan PET images: a multicenter study.
The British journal of radiology
Jul 3, 2023
OBJECTIVES: Our work aims to study the feasibility of a deep learning algorithm to reduce the Ga-FAPI radiotracer injected activity and/or shorten the scanning time and to investigate its effects on image quality and lesion detection ability.
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