Deep-learning accelerated brain MRI improves stroke lesion detection

Deep learning-accelerated brain MRI improves the detection of acute ischemic lesions compared to conventional MRI because it offers better image quality and significantly decreased exam times, researchers have reported in a study published in Radiology.The technique could translate to better patient care in that it could improve imaging workflow and cut healthcare costs, wrote a team led by Sebastian Altmann, MD, of University Medical Center Mainz in Germany.Example of (A-D) noncontrast transverse plane conventional MRI (c-MRI) and (E-H) deep learning-accelerated MRI scans in a 75-year-old male participant with acute left-sided hemiparesis and a National Institutes of Health Stroke Scale score of 8. Arrows indicate the acute infarction. Furthermore, chronic infarction is depicted in the right biventer lobule. Note the equal image quality. Images and caption courtesy of the RSNA."Given the increasing demand for medical examinations and increasing financial constraints placed on health care systems, implementing this technique may be of great value," the group noted.Deep learning-accelerated MRI can reduce exam times, but research that prospectively evaluates the diagnostic performance of these accelerated MRI reconstructions in acute suspected stroke is scarce, the investigators wrote. To determine if deep learning-accelerated MRI performed on par with conventional MR imaging, Altmann and colleagues compared the two techniques in a study that included 211 patients who underwen...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Artificial Intelligence Neuroradiology Source Type: news