AIMC Topic: Positron-Emission Tomography
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AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.
NeuroImage
Aug 1, 2020
INTRODUCTION: Robust and reliable attenuation correction (AC) is a prerequisite for accurate quantification of activity concentration. In combined PET/MRI, AC is challenged by the lack of bone signal in the MRI from which the AC maps has to be derive...
Motion correction of respiratory-gated PET images using deep learning based image registration framework.
Physics in medicine and biology
Jul 30, 2020
Artifacts caused by patient breathing and movement during PET data acquisition affect image quality. Respiratory gating is commonly used to gate the list-mode PET data into multiple bins over a respiratory cycle. Non-rigid registration of respiratory...
: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer.
Scientific reports
Jul 23, 2020
Hand-crafted radiomics has been used for developing models in order to predict time-to-event clinical outcomes in patients with lung cancer. Hand-crafted features, however, are pre-defined and extracted without taking the desired target into account....
Improved myocardial perfusion PET imaging using artificial neural networks.
Physics in medicine and biology
Jul 20, 2020
Myocardial perfusion (MP) PET imaging plays a key role in risk assessment and stratification of patients with coronary artery disease. In this work, we proposed a patch-based artificial neural network (ANN) fusion approach that integrates information...
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives.
Methods (San Diego, Calif.)
Jul 19, 2020
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last decade due to numerous technological breakthroughs. Imaging is now playing a critical role on deployment of the clinical workflow, both for treatment plan...
Feasibility of Multiparametric Positron Emission Tomography/Magnetic Resonance Imaging as a One-Stop Shop for Radiation Therapy Planning for Patients with Head and Neck Cancer.
International journal of radiation oncology, biology, physics
Jul 16, 2020
PURPOSE: Multiparametric positron emission tomography (PET)/magnetic resonance imaging (MRI) as a one-stop shop for radiation therapy (RT) planning has great potential but is technically challenging. We studied the feasibility of performing multipara...
Positron-Emission Tomography
Fluorodeoxyglucose F18
Radiotherapy Dosage
Patient Positioning
Radiotherapy, Computer-Assisted
Multimodal Imaging
Feasibility Studies
Radiopharmaceuticals
Deep Learning
Head and Neck Neoplasms
Magnetic Resonance Imaging
Prospective Studies
Tomography, X-Ray Computed
Humans
Neural Networks, Computer
Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test.
Radiology
Jul 14, 2020
Background Cerebrovascular reserve (CVR) may be measured by using an acetazolamide test to clinically evaluate patients with cerebrovascular disease. However, acetazolamide use may be contraindicated and/or undesirable in certain clinical settings. P...
Investigating the challenges and generalizability of deep learning brain conductivity mapping.
Physics in medicine and biology
Jun 26, 2020
To investigate deep learning electrical properties tomography (EPT) for application on different simulated and in-vivo datasets, including pathologies for brain conductivity reconstructions, 3D patch-based convolutional neural networks were trained t...
Generative adversarial network based regularized image reconstruction for PET.
Physics in medicine and biology
Jun 23, 2020
Positron emission tomography (PET) is an ill-posed inverse problem and suffers high noise due to limited number of detected events. Prior information can be used to improve the quality of reconstructed PET images. Deep neural networks have also been ...
Positron emission tomography imaging in cardiovascular disease.
Heart (British Cardiac Society)
Jun 22, 2020
Positron emission tomography (PET) imaging is useful in cardiovascular disease across several areas, from assessment of myocardial perfusion and viability, to highlighting atherosclerotic plaque activity and measuring the extent of cardiac innervatio...
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