AIMC Topic:
Magnetic Resonance Imaging

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Automatic segmentation of neurovascular bundle on mri using deep learning based topological modulated network.

Medical physics Mar 25, 2023
PURPOSE: Radiation damage on neurovascular bundles (NVBs) may be the cause of sexual dysfunction after radiotherapy for prostate cancer. However, it is challenging to delineate NVBs as organ-at-risks from planning CTs during radiotherapy. Recently, t...
Humans Magnetic Resonance Imaging Prostatic Neoplasms Deep Learning Male Image Processing, Computer-Assisted Quality of Life
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Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samples.

EBioMedicine Mar 25, 2023
BACKGROUND: Dementia's diagnostic protocols are mostly based on standardised neuroimaging data collected in the Global North from homogeneous samples. In other non-stereotypical samples (participants with diverse admixture, genetics, demographics, MR...
Magnetic Resonance Imaging Alzheimer Disease Male Deep Learning Neuroimaging Frontotemporal Dementia Hippocampus Brain Humans Female
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Efficient complex-valued image reconstruction for compressed sensing MRI using single real-valued convolutional neural network.

Magnetic resonance imaging Mar 23, 2023
Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging
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Memory efficient model based deep learning reconstructions for high spatial resolution 3D non-cartesian acquisitions.

Physics in medicine and biology Mar 23, 2023
. Model based deep learning (MBDL) has been challenging to apply to the reconstruction of 3D non-Cartesian MRI due to GPU memory demand because the entire volume is needed for data-consistency steps embedded in the model. This requirement makes holdi...
Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Magnetic Resonance Angiography Deep Learning Imaging, Three-Dimensional
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Epoch and accuracy based empirical study for cardiac MRI segmentation using deep learning technique.

PeerJ Mar 22, 2023
Cardiac magnetic resonance imaging (CMRI) is a non-invasive imaging technique to analyse the structure and function of the heart. It was enhanced considerably over several years to deliver functional information for diagnosing and managing cardiovasc...
Heart Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Magnetic Resonance Imaging
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Deep learning-based high-accuracy detection for lumbar and cervical degenerative disease on T2-weighted MR images.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 21, 2023
PURPOSE: To develop and validate a deep learning (DL) model for detecting lumbar degenerative disease in both sagittal and axial views of T2-weighted MRI and evaluate its generalized performance in detecting cervical degenerative disease.
Humans Retrospective Studies Deep Learning Magnetic Resonance Imaging
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Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging.

Medical physics Mar 21, 2023
BACKGROUND: Magnetic resonance imaging scanner faults can be missed during routine quality assurance (QA) if they are subtle, intermittent, or the test being performed is insensitive to the type of fault. Coil element malfunction is a common fault wi...
Humans Signal-To-Noise Ratio Neural Networks, Computer Artificial Intelligence Magnetic Resonance Imaging
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Comparison of deep learning-based reconstruction of PROPELLER Shoulder MRI with conventional reconstruction.

Skeletal radiology Mar 21, 2023
OBJECTIVE: To compare the image quality and agreement among conventional and accelerated periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) MRI with both conventional reconstruction (CR) and deep learning-based r...
Shoulder Signal-To-Noise Ratio Magnetic Resonance Imaging Artifacts Humans Deep Learning
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Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning.

Bone Mar 21, 2023
BACKGROUND: Assessment of cortical bone porosity and geometry by imaging in vivo can provide useful information about bone quality that is independent of bone mineral density (BMD). Ultrashort echo time (UTE) MRI techniques of measuring cortical bone...
Retrospective Studies Osteoporosis Female Deep Learning Humans Osteoporosis, Postmenopausal Bone Density Cortical Bone Magnetic Resonance Imaging Porosity
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Editorial for "Deep Learning-Based Segmentation of Locally Advanced Breast Cancer on MRI in Relation to Residual Cancer Burden: A Multi-Institutional Cohort Study".

Journal of magnetic resonance imaging : JMRI Mar 20, 2023
Image Processing, Computer-Assisted Magnetic Resonance Imaging Breast Neoplasms Deep Learning Neoplasm, Residual Multicenter Studies as Topic Breast Humans Female
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