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MRI analysis with machine learning predicts impairment after spinal injury, study shows
Can mri penetrate leg cast . Porno photo. Comments: 4
An angiogram is a diagnostic test that uses x-rays to take pictures of your blood vessels. A long flexible catheter is inserted through the blood stream to deliver dye contrast agent into the arteries making them visible on the x-ray. This test can help diagnose a stroke, aneurysm, arteriovenous malformation, tumor, clots, and arterial stenosis. An angiogram works similar to an x-ray.
A leg MRI magnetic resonance imaging scan of the leg uses strong magnets to create pictures of the leg. This may include the ankle, foot, and surrounding tissues. Single MRI images are called slices. The images can be stored on a computer or printed on film.
A test of machine-learning algorithms shows promise for computer-aided prognosis of acute spinal cord injury, according to a study to be presented at the ARRS Annual Meeting, set for April in Washington, DC. The study to be presented by Jason Talbot, assistant professor of radiology at the University of California, San Francisco, involved using semiautomated image analysis with machine-learning algorithms to assess the accuracy of axial T2-weighted radiomic features for classifying patients by degree of neurologic injury. Several machine-learning algorithms were tested for injury classification based on texture variables. For each trained model, the accuracy of predicting the testing set was recorded, as were variables important to the model. This proof-of-principle study highlights the feasibility of applying a semiautomated MRI analysis pipeline for atlas-based texture feature extraction from T2-weighted MRI at the epicenter of acute spinal cord injury SCI.