Magnetic Resonance Imaging (MRI), computerized tomography (CT) scans, and positron emission tomography (PET) scans have come a long way since their early conception between the 1960s and the 1980s.
How artificial intelligence plays a role in MRI These non-invasive medical imaging tools have only been enriched since their conception, with artificial intelligence , upgraded methods of raw data acquisition, and multi-parametric statistical methods of analysis all improving how we view and analyze our internal systems.
ARDLS, developed by GE Healthcare's Edison intelligence platform, encompasses some of the most novel and innovative developments regarding medical imaging. Collecting image noise before and throughout the scan can improve the resolution of every subsequent image. Now available for most clinical scans, this methodology comes with better image quality, better specificity, and a nearly 50% reduction in scan time.
A blur occurs if the target segment moves while the PET scan takes an image. This makes assessing and analyzing the mass or tissue much harder. To minimize the amount of motion during the PET scan, healthcare professionals use gated acquisition, which will divide the scanning cycle into multiple “bins.” The program can predict where a target mass will be at a given time or place by segmenting the scanning cycle process into 8-10 bins .
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