Browse Topic: Magnetic resonance imaging (MRI)

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We are living in a digitally integrated and connected world. Evidenced by the use of smartphones, smartwatches, and other smart devices, there is no ending this trend. This holds true across many industries and applications, but is especially prevalent within medtech devices — a market that’s predicted to reach $432.6 billion by 2025.1
Magnetic resonance imaging (MRI) has evolved into one of the most powerful, non-invasive diagnostic imaging techniques in medicine and biomedical research. The superior resolution and in-depth anatomical details provided by MRI are essential for early diagnosis of many diseases. Chemical contrast agents (CAs) have been widely used for improving the sensitivity and diagnostic confidence in MRI.
Functional connections within the brain can be revealed through functional magnetic resonance imaging (fMRI), which shows simultaneous activations of blood flow in the brain during response tests. However, fMRI specialists currently do not have a tool for visualizing the complex data that comes from fMRI scans. They work with correlation matrices that table what functional region connections exist, but they have no corresponding visualization.
A new medical imaging method being developed at Rutgers University could help physicians detect cancer and other diseases earlier than before, speeding treatment and reducing the need for invasive, time-consuming biopsies.
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