Browse Technologies

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A research team at Vanderbilt University Mass Spectrometry Research Center has developed the Molecular Image Fusion software system, that by fusing spatial correspondence between histology and imaging mass spectrometry (IMS) measurements and cross-modality modeling, can predict ion distributions in tissue at spatial resolutions that exceed their acquisition resolution. The prediction resolution can even exceed the highest spatial resolution at which IMS can be physically measured. This software has been successfully tested on different IMS datasets and can be extended to other imaging modalities like MRI, PET, CT, profilometry, ion mobility spectroscopy, and different forms of microscopy.

Vanderbilt researchers have developed a new method for using contrast enhanced MRI to non-invasively map and quantify cell size on a voxel-by-voxel basis. Using this approach, it is possible to monitor and detect diseases or treatments that alter the distribution of cell sizes such as cancer, muscular dystrophy, hepatocellular hypertrophy, and hypertrophic cardiomyopathy.

Vanderbilt researchers have developed a new system to detect the position, orientation, and pressure exerted on surrounding tissues of a wireless capsule endoscopy device.  Magnetic coupling is one of the few physical phenomena capable of transmitting actuation forces across a physical barrier.  Magnetic manipulation has the potential to make surgery less invasive, by allowing untethered miniature devices to enter the body through natural orifices or tiny incisions, and then maneuver with minimal disruption to healthy tissue.  In order to accomplish this goal, the pose (position and orientation) of the medical device must be available in real time.

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.