Researchers from Stanford university have found a new artificial intelligence to reduce the dosage of the contrast agent gadolinium in MRI scan. Gadolinium is a chemical substance which is used in MRI scan and it helps to improves the quality of MRI images.
In the recent studies researchers found a small amount of metals remains in the bodies of the people who have undergone MRI scan and it can be harmful for the people but radiologists are working proactively to optimize patient safety.
Dr Gong Phd researcher at Stanford university said, “There is concrete evidence that gadolinium deposits in the brain and body. While the implications of this are unclear, mitigating potential patient risks while maximizing the clinical value of the MRI exams is imperative”.
To achieve the goal Dr Gong and the team have been studying deep learning. Deep learning is a artificial intelligence technique that teaches computers by examples. For deep learning technique, researchers used MRI images from 200 patients who have received various contrast enhanced MRI exams. In their research they collected three sets of images ie, zero dose scans, low dose scans and full dose scans.
The algorithm learned to differentiate the full dose scans from low dose scans and zero dose scans. The initial results is that the image quality between the low dose and full dose was not significantly different.
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