Medical Imaging

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Vanderbilt researchers have developed a novel MRI-based method for fast, robust, and accurate imaging of biological tissue by selecting a specific cell size range (such as tumors) without the need for a contrast agent. One exciting application of this method is imaging brain metastases (BM) that are difficult to differentiate from other brain abnormalities such as radionecrosis when using existing approaches.

The standard for kidney stone detection is through the use of computed tomography (CT). However, CT is expensive and delivers harmful ionizing radiation into the body. Ultrasound would be the ideal way to detect kidney stones except that it performs poorly in detecting and accurately sizing stones. Vanderbilt researchers inventors have developed a technique that is able to separate hard, mineralized material (i.e kidney stones) from soft tissue in a way that is both cheaper and safer than CT and performs better than conventional ultrasound imaging.

The Vanderbilt University Biomedical Modeling Laboratory, led by Dr. Michael Miga, has developed a method to overcome intra-operative brain shifts experienced during neurosurgery using computer modeling that augments standard image-guided surgery technology. Current standard of care methods of image-guided surgery have limitations on accuracy, which is overcome by this new method.

Magnetic resonance imaging (MRI) is one of the most important and versatile tools in the repertoire of diagnostics and medical imaging. Vanderbilt researchers have developed a novel, geometry independent, self-decoupling radiofrequency (RF) coil design that will allow MRI machines to generate images at a faster rate and with greater image quality.