Browse Technologies

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Molecular Image Fusion: Cross-Modality Modeling and Prediction Software for Molecular Imaging

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.


Licensing Contact

Karen Rufus

615.322.4295

Speculum-Free Diagnostic Probe for Optical Assessment of the Cervix

A new approach for obtaining less invasive optical measurements of the cervix has been developed that does not require the use of a speculum exam. This technology can visualize the cervix in vivo to find unique biomarkers that indicate various conditions such as preterm labor, cancer, human papillomavirus (HPV), and dysplasia.


Licensing Contact

Ashok Choudhury

615.322.2503

Self-Decoupled RF Coils for Optimized Magnetic Resonance Imaging

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.


Licensing Contact

Philip Swaney

615.322.1067

Advanced Method for Data Corrections in Organ Deformation

A group of Vanderbilt University researchers have developed a solution that will correct for the mis-registration of image data in image-guided surgery. The solution uses software to correct for any mis-registration that is caused by the presence of intraoperative deformations. This invention helps to improve the performance and capabilities of image-guided surgery.


Licensing Contact

Philip Swaney

615.322.1067
Medical Imaging

Advanced Ultrasound Imaging for Kidney Stone Detection

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.


Licensing Contact

Masood Machingal

615.343.3548

Assessment of Right Ventricular Function Using Contrast Echocardiography

Vanderbilt Medical Center researchers have developed a non-invasive and reproducible method of assessing right-ventricular function using contrast-echocardiography. The right-ventricular transit time (RVTT) measures the time needed for echocardiographic contrast to travel from the RV to the bifurcation of the main pulmonary artery. Coupled with the pulmonary transit time (PTT), the time needed for contrast to traverse the entire pulmonary circulation, RVTT is part of a family of diagnostic parameters that can report on RV-specific performance as well as the RV's function relative to that of the pulmonary circuit as a whole.


Licensing Contact

Chris Harris

615.343.4433

Hyper-SHIELDED - Preserving Parahydrogen Spin Order by Efficient Transfer of Nuclear Singlet

Hyperpolarization of nuclear spin ensembles has increased NMR sensitivity to a level that is now enabling detection of metabolism in biological tissue on a time-scale of seconds. The present invention is a pulse sequence that efficiently transforms parahydrogen spin order into heteronuclear magnetization. This was achieved via a single streamlined sequence without recursive application, by finding sequential analytic solutions to the density matrix evolution for each of four independent intervals that collectively flank two proton inversions and one heteronuclear excitation. The name hyper-SHIELDED (Singlet to Heteronuclei by Interative Evolution Locks Dramatic Enhancement for Delivery) reflects the sequence's protective effect on PHIP hyperpolarization.


Licensing Contact

Chris Harris

615.343.4433
Medical Imaging

Latent Image-Derived Features for Prognostic Modeling

Researchers at Vanderbilt have developed a system to estimate prognostic metrics such as the length of a hospital stay, recovery status at discharge, and overall health at discharge, using only baseline imaging and clinical information gathered early in the hospital admission process. This system can assist with medical group operations and planning, it can help to educate families and patients regarding prognosis, and can be used to automatically stage patients for clinical trials.


Licensing Contact

Chris Harris

615.343.4433
Medical Imaging

Non-Invasive Bacterial Identification for Acute Otitis Media using Raman Spectroscopy

Vanderbilt researchers have developed an optical-based method for real-time characterization of middle ear fluid in order to diagnose acute otitis media, also knows as a middle ear infection. The present technique allows for quick detection and identification of bacteria and can also be applied to other biological fluids in vivo.


Licensing Contact

Ashok Choudhury

615.322.2503

Non-Invasive Cell Size Detection

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.


Licensing Contact

Chris Harris

615.343.4433
Medical Imaging