AIMC Topic: Magnetic Resonance Imaging

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Deep learning and radiomics based automatic diagnosis of hippocampal sclerosis.

The International journal of neuroscience Dec 28, 2021
Accurate and rapid segmentation of the hippocampus can help doctors perform intractable temporal lobe epilepsy (TLE) preoperative evaluations to identify good surgical candidates. This study aims to establish a radiomics system for the automatic diag...
Hippocampus Epilepsy, Temporal Lobe Hippocampal Sclerosis Deep Learning Magnetic Resonance Imaging Humans
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Robotically-induced hallucination triggers subtle changes in brain network transitions.

NeuroImage Dec 28, 2021
The perception that someone is nearby, although nobody can be seen or heard, is called presence hallucination (PH). Being a frequent hallucination in patients with Parkinson's disease, it has been argued to be indicative of a more severe and rapidly ...
Humans Female Male Adolescent Adult Connectome Magnetic Resonance Imaging Hallucinations Robotics
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Rigid motion-resolved prediction using deep learning for real-time parallel-transmission pulse design.

Magnetic resonance in medicine Dec 27, 2021
PURPOSE: Tailored parallel-transmit (pTx) pulses produce uniform excitation profiles at 7 T, but are sensitive to head motion. A potential solution is real-time pulse redesign. A deep learning framework is proposed to estimate pTx distributions foll...
Brain Deep Learning Magnetic Resonance Imaging Neural Networks, Computer Algorithms Motion
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Evaluation on the generalization of a learned convolutional neural network for MRI reconstruction.

Magnetic resonance imaging Dec 27, 2021
Recently, deep learning approaches with various network architectures have drawn significant attention from the magnetic resonance imaging (MRI) community because of their great potential for image reconstruction from undersampled k-space data in fas...
Neural Networks, Computer Brain Magnetic Resonance Imaging Signal-To-Noise Ratio Image Processing, Computer-Assisted Humans
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Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study.

The European journal of neuroscience Dec 27, 2021
The ability to experience, use and eventually control anger is crucial to maintain well-being and build healthy relationships. Despite its relevance, the neural mechanisms behind individual differences in experiencing and controlling anger are poorly...
Humans Brain Magnetic Resonance Imaging Individuality Neural Pathways Anger Unsupervised Machine Learning Brain Mapping
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Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.

NeuroImage Dec 26, 2021
Task-based and resting-state represent the two most common experimental paradigms of functional neuroimaging. While resting-state offers a flexible and scalable approach for characterizing brain function, task-based techniques provide superior locali...
Brain Mapping Datasets as Topic Connectome Rest Reproducibility of Results Magnetic Resonance Imaging Emotions Humans Neural Networks, Computer
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A review on deep learning MRI reconstruction without fully sampled k-space.

BMC medical imaging Dec 24, 2021
BACKGROUND: Magnetic resonance imaging (MRI) is an effective auxiliary diagnostic method in clinical medicine, but it has always suffered from the problem of long acquisition time. Compressed sensing and parallel imaging are two common techniques to ...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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Back Propagation Neural Network-Based Magnetic Resonance Imaging Image Features in Treating Intestinal Obstruction in Digestive Tract Diseases with Chengqi Decoction.

Contrast media & molecular imaging Dec 24, 2021
This study was to explore the adoption effect of magnetic resonance imaging (MRI) image features based on back propagation neural network (BPNN) in evaluating the curative effect of Chengqi Decoction (CD) for intestinal obstruction (ileus), so as to ...
Algorithms Intestinal Obstruction Magnetic Resonance Imaging Humans Neural Networks, Computer
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Alteration of the corpus callosum in patients with Alzheimer's disease: Deep learning-based assessment.

PloS one Dec 23, 2021
BACKGROUND: Several studies have reported changes in the corpus callosum (CC) in Alzheimer's disease. However, the involved region differed according to the study population and study group. Using deep learning technology, we ensured accurate analysi...
Alzheimer Disease Atrophy Corpus Callosum Child Male Humans Magnetic Resonance Imaging Middle Aged Aged Deep Learning Disease Progression Risk Assessment Female Young Adult Adult Adolescent Case-Control Studies Cross-Sectional Studies Cognitive Dysfunction
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The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging.

Pediatric radiology Dec 22, 2021
Artificial intelligence (AI) offers the potential to change many aspects of paediatric cardiac imaging. At present, there are only a few clinically validated examples of AI applications in this field. This review focuses on the use of AI in paediatri...
Humans Radiology Artificial Intelligence Heart Child Magnetic Resonance Imaging Adult
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