AIMC Topic: Magnetic Resonance Imaging

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A densely interconnected network for deep learning accelerated MRI.

Magma (New York, N.Y.) Sep 14, 2022
OBJECTIVE: To improve accelerated MRI reconstruction through a densely connected cascading deep learning reconstruction framework.
Signal-To-Noise Ratio Magnetic Resonance Imaging Acceleration Deep Learning
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TransMorph: Transformer for unsupervised medical image registration.

Medical image analysis Sep 14, 2022
In the last decade, convolutional neural networks (ConvNets) have been a major focus of research in medical image analysis. However, the performances of ConvNets may be limited by a lack of explicit consideration of the long-range spatial relationshi...
Magnetic Resonance Imaging Phantoms, Imaging Humans Bayes Theorem Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted
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Jointly estimating bias field and reconstructing uniform MRI image by deep learning.

Journal of magnetic resonance (San Diego, Calif. : 1997) Sep 14, 2022
Bias field is one of the main artifacts that degrade the quality of magnetic resonance images. It introduces intensity inhomogeneity and affects image analysis such as segmentation. In this work, we proposed a deep learning approach to jointly estima...
Artifacts Algorithms Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Humans
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Investigating molecular transport in the human brain from MRI with physics-informed neural networks.

Scientific reports Sep 14, 2022
In recent years, a plethora of methods combining neural networks and partial differential equations have been developed. A widely known example are physics-informed neural networks, which solve problems involving partial differential equations by tra...
Magnetic Resonance Imaging Physics Records Neural Networks, Computer Brain Humans
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Imaging of Structural Abnormalities of the Sacrum: The Old Faithful and Newly Emerging Techniques.

Seminars in musculoskeletal radiology Sep 14, 2022
The sacrum and sacroiliac joints pose a long-standing challenge for adequate imaging because of their complex anatomical form, oblique orientation, and posterior location in the pelvis, making them subject to superimposition. The sacrum and sacroilia...
Sacrum Humans Magnetic Resonance Imaging Sacroiliac Joint Artificial Intelligence Pelvis
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Structural design and analysis of pneumatic prostate seed implantation robot applied in magnetic resonance imaging environment.

The international journal of medical robotics + computer assisted surgery : MRCAS Sep 13, 2022
BACKGROUND: The method of MRI (Magnetic Resonance Imaging) image-guided robot for prostate seed implantation has developed rapidly in recent years. During the operation, although the puncture effect guided by MRI is very good, it is difficult for con...
Humans Equipment Design Magnetic Resonance Imaging Prostate Male Robotics Brachytherapy
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Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.

Medical image analysis Sep 13, 2022
Prostate biopsy and image-guided treatment procedures are often performed under the guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion relies on accurate segmentation of the prostate on ultrasound images. Yet, th...
Prostate Pelvis Ultrasonography Neural Networks, Computer Magnetic Resonance Imaging Male Humans
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Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques.

International journal of molecular sciences Sep 13, 2022
Short-term disability progression was predicted from a baseline evaluation in patients with multiple sclerosis (MS) using their three-dimensional T1-weighted (3DT1) magnetic resonance images (MRI). One-hundred-and-eighty-one subjects diagnosed with M...
Humans Brain Disease Progression Deep Learning Multiple Sclerosis Magnetic Resonance Imaging Disability Evaluation
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Accelerated two-dimensional phase-contrast for cardiovascular MRI using deep learning-based reconstruction with complex difference estimation.

Magnetic resonance in medicine Sep 12, 2022
PURPOSE: To develop and validate a deep learning-based reconstruction framework for highly accelerated two-dimensional (2D) phase contrast (PC-MRI) data with accurate and precise quantitative measurements.
Prospective Studies Retrospective Studies Magnetic Resonance Imaging Deep Learning Microscopy, Phase-Contrast Child Humans
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Prediction of placenta accreta spectrum by combining deep learning and radiomics using T2WI: a multicenter study.

Abdominal radiology (New York) Sep 12, 2022
PURPOSE: To achieve prenatal prediction of placenta accreta spectrum (PAS) by combining clinical model, radiomics model, and deep learning model using T2-weighted images (T2WI), and to objectively evaluate the performance of the prediction through mu...
Humans Pregnancy Female Deep Learning Prognosis Retrospective Studies Placenta Accreta Magnetic Resonance Imaging Models, Statistical
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