Medical Imaging

Displaying 1 - 10 of 42


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

Real-time non-invasive Raman Sprectoscopy system to detect the presence and identity of pathogens involved in causing middle ear infections.


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

Chris Harris

615.343.4433

Modeling Tissue Elasticity as a Complement to Imaging Modalities

A Vanderbilt researcher has developed an elastography framework for determining elastic properties of tissue using existing imaging technologies. Elastography is the direct imaging of tissue elasticity parameters, and can be quite helpful for diagnostic and/or therapeutic purposes.


Licensing Contact

Ashok Choudhury

615.322.2503

Inventors

Michael Miga
Medical Imaging

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

Realistic Abdominal Phantom with Anatomical Ligamenture

Vanderbilt researchers have developed a medical simulator that realistically emulates the surgical environment found during laparoscopic abdominal interventions such as liver resection. The device recreates several important conditions that can each deform the organ of interest, thereby causing preoperative imaging to be misaligned from what the surgeon sees intraoperatively. Additionally, the technology includes realistic ligamenture that can be dissected, which also deforms the liver in a realistic fashion. By recreating these features in the simulator, the surgeon experiences a more realistic and life-like simulation of abdominal procedures that aids in the training process.


Licensing Contact

Ashok Choudhury

615.322.2503

Marker Enrichment Modeling (MEM) Software for Automated Cell Population Characterization and Identification in Complex Tissue Microenvironments

Marker enrichment modeling (MEM) provides a crucial missing piece for true machine learning analysis of cell identities and phenotypes in complex tissue microenvironments, including human immune disorders and cancer.


Licensing Contact

Masood Machingal

615.343.3548

A Method to Obtain Uniform Radio Frequency Fields in the Body for High Field MRI

Researchers at Vanderbilt have created a new approach to produce uniform radio frequency (RF) fields in the body during high field magnetic resonance imaging (MRI). Existing high field MRI machines create non-uniform RF fields that lead to non-uniform sensitivity in the generated images, also referred to as "hot" and "cold" spots. These local variations interfere with the tissue contrast of the images that radiologists depend upon to make accurate diagnoses. By generating uniform RF fields in the body, this technology provides the benefits of high field MRI without the non-uniform RF fields.


Licensing Contact

Chris Harris

615.343.4433
Medical Imaging

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

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

Inexpensive Disposable Hydro-Jet Capsule Robot for Gastric Cancer Screening in Low-Income Countries

Gastric cancer is the second leading cause of cancer death worldwide. While screening programs have had a tremendous impact on reducing mortality, the majority of cases occur in low and middle-income countries (LMIC). Typically, screening for gastric and esophageal cancer is performed using a flexible endoscope; however, endoscopy resources for these settings are traditionally limited. With the development of an inexpensive, disposable system by Vanderbilt researchers, gastroscopy and colonoscopy can be facilitated in areas hampered by a lack of access to the appropriate means.


Licensing Contact

Masood Machingal

615.343.3548