AIMC Topic: Magnetic Resonance Imaging

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Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion.

Magnetic resonance imaging Oct 20, 2021
PURPOSE: To evaluate radiomic machine learning (ML) classifiers based on multiparametric magnetic resonance images (MRI) in pretreatment assessment of endometrial cancer (EC) risk factors and to examine effects on radiologists' interpretation of deep...
Humans Machine Learning Prognosis Retrospective Studies Magnetic Resonance Imaging Female Radiologists Risk Factors Endometrial Neoplasms
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Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study.

The Lancet. Digital health Oct 20, 2021
BACKGROUND: Gadolinium-based contrast agents (GBCAs) are widely used to enhance tissue contrast during MRI scans and play a crucial role in the management of patients with cancer. However, studies have shown gadolinium deposition in the brain after r...
Germany Gadolinium Diffusion Magnetic Resonance Imaging Radiology Feasibility Studies Tumor Burden Magnetic Resonance Imaging Brain Glioblastoma Prognosis Disease Progression Retrospective Studies Brain Neoplasms Deep Learning Contrast Media Humans Middle Aged Neural Networks, Computer Neoplasms Algorithms
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Tumor Region Location and Classification Based on Fuzzy Logic and Region Merging Image Segmentation Algorithm.

Journal of healthcare engineering Oct 20, 2021
Early diagnosis of tumor plays an important role in the improvement of treatment and survival rate of patients. However, breast tumors are difficult to be diagnosed by invasive examination, so medical imaging has become the most intuitive auxiliary m...
Magnetic Resonance Imaging Female Humans Fuzzy Logic Breast Neoplasms Algorithms Image Processing, Computer-Assisted
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Deep learning for automatic segmentation of thigh and leg muscles.

Magma (New York, N.Y.) Oct 19, 2021
OBJECTIVE: In this study we address the automatic segmentation of selected muscles of the thigh and leg through a supervised deep learning approach.
Deep Learning Image Processing, Computer-Assisted Leg Magnetic Resonance Imaging Muscle, Skeletal Thigh
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Support Vector Machine-based Spontaneous Intracranial Hypotension Detection on Brain MRI.

Clinical neuroradiology Oct 19, 2021
BACKGROUND AND PURPOSE: To develop a fully automatic algorithm for the magnetic resonance imaging (MRI) identification of patients with spontaneous intracranial hypotension (SIH).
Humans Brain Cerebrospinal Fluid Leak Intracranial Hypotension Support Vector Machine Magnetic Resonance Imaging
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Deep learning-based classification of preclinical breast cancer tumor models using chemical exchange saturation transfer magnetic resonance imaging.

NMR in biomedicine Oct 19, 2021
Chemical exchange saturation transfer (CEST) magnetic resonance imaging has shown promise for classifying tumors based on their aggressiveness, but CEST contrast is complicated by multiple signal sources and thus prolonged acquisition times are often...
Magnetic Resonance Imaging Deep Learning Cell Line, Tumor Mice Humans Neural Networks, Computer Female Breast Neoplasms Animals
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Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?

NeuroImage Oct 19, 2021
Cognitive performance can be predicted from an individual's functional brain connectivity with modest accuracy using machine learning approaches. As yet, however, predictive models have arguably yielded limited insight into the neurobiological proces...
Connectome Magnetic Resonance Imaging Brain Mapping Predictive Value of Tests Image Processing, Computer-Assisted Cognition Humans Machine Learning Female Reproducibility of Results Adult Male
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A deep learning method for predicting knee osteoarthritis radiographic progression from MRI.

Arthritis research & therapy Oct 18, 2021
BACKGROUND: The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs.
Disease Progression Deep Learning Magnetic Resonance Imaging Knee Joint Osteoarthritis, Knee Cartilage, Articular Humans
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Classification of amyotrophic lateral sclerosis by brain volume, connectivity, and network dynamics.

Human brain mapping Oct 16, 2021
Emerging studies corroborate the importance of neuroimaging biomarkers and machine learning to improve diagnostic classification of amyotrophic lateral sclerosis (ALS). While most studies focus on structural data, recent studies assessing functional ...
Amyotrophic Lateral Sclerosis Humans Aged Middle Aged Connectome Adult Brain Deep Learning Nerve Net Male Female Magnetic Resonance Imaging
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Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge.

Artificial intelligence in medicine Oct 15, 2021
Dynamic imaging is a beneficial tool for interventions to assess physiological changes. Nonetheless during dynamic MRI, while achieving a high temporal resolution, the spatial resolution is compromised. To overcome this spatio-temporal trade-off, thi...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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