AIMC Topic: Positron-Emission Tomography

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[Big data and artificial intelligence for diagnostic decision support in atypical dementia].

Der Nervenarzt
The differential diagnosis of atypical dementia remains difficult. The use of positron emission tomography (PET) still represents the gold standard for imaging diagnostics. According to the current evidence, however, magnetic resonance imaging (MRI) ...

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.

IEEE transactions on medical imaging
Motivated by the great potential of deep learning in medical imaging, we propose an iterative positron emission tomography reconstruction framework using a deep learning-based prior. We utilized the denoising convolutional neural network (DnCNN) meth...

Artificial Neural Network Enhanced Bayesian PET Image Reconstruction.

IEEE transactions on medical imaging
In positron emission tomography (PET) image reconstruction, the Bayesian framework with various regularization terms has been implemented to constrain the radio tracer distribution. Varying the regularizing weight of a maximum a posteriori (MAP) algo...

Image reconstruction by domain-transform manifold learning.

Nature
Image reconstruction is essential for imaging applications across the physical and life sciences, including optical and radar systems, magnetic resonance imaging, X-ray computed tomography, positron emission tomography, ultrasound imaging and radio a...

Robotic-Assisted and Image-Guided MRI-Compatible Stereoelectroencephalography.

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques
BACKGROUND: Stereoelectroencephalography has been in regular use at the Montreal Neurological Institute since 1972. The technique has been in constant evolution to incorporate advances in materials, imaging, and robotics technology. MRI-compatible el...

Role of Artificial Intelligence Techniques (Automatic Classifiers) in Molecular Imaging Modalities in Neurodegenerative Diseases.

Current Alzheimer research
Artificial Intelligence (AI) is a very active Computer Science research field aiming to develop systems that mimic human intelligence and is helpful in many human activities, including Medicine. In this review we presented some examples of the exploi...

Threshold of Dopamine D2/3 Receptor Occupancy for Hyperprolactinemia in Older Patients With Schizophrenia.

The Journal of clinical psychiatry
OBJECTIVE: Although hyperprolactinemia carries a long-term risk of morbidity, the threshold of dopamine D2/3 receptor (D2/3R) occupancy for hyperprolactinemia has not been investigated in older patients with schizophrenia. Data were taken from a posi...

Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Brain imaging and behavior
Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional single-modality-based ones for diagnosis and prognosis of Alzheimer's disease (AD), as well as its prod...

Unusual presentation of obscure Meckel diverticulum treated with robot-assisted diverticulectomy: A case report.

Medicine
INTRODUCTION: Meckel diverticulum (MD) is the most common congenital abnormality of gastrointestinal tract. Tough believed to occur in 2% of population, most of them remain veiled because majority are clinically asymptomatic and remain obscure in rad...

Combined fuzzy logic and random walker algorithm for PET image tumor delineation.

Nuclear medicine communications
PURPOSE: The random walk (RW) technique serves as a powerful tool for PET tumor delineation, which typically involves significant noise and/or blurring. One challenging step is hard decision-making in pixel labeling. Fuzzy logic techniques have achie...