Transperineal Ultrasound-Guided Prostate Biopsy

Prostate cancer is the most common male cancer in the United States, and the third most common worldwide. Prostate biopsies are often performed to confirm a cancer diagnosis and examine suspect tissue. Prostate biopsies are most often performed under transrectal ultrasound imaging (TRUS) guidance. TRUS images in real-time, at relatively low cost, and shows both prostate and boundaries. However, major problems with TRUS imaging are poor spatial resolution and low sensitivity for cancer detection.

Robotic Exoskeleton for Treatment of Crouch Gait in Children with Cerebral Palsy (CP)

Crouch gait is a common disorder in pediatric cerebral palsy (CP). Effective treatment of crouch during childhood is critical to maintain mobility into adulthood. Current interventions do not alleviate crouch gait long-term for most patients. This technology relates to a powered exoskeleton designed for gait assistance. The powered assistance may provide a physical therapy-type intervention to improve and maintain mobility.  

Convolutional Neural Networks for Organ Segmentation

Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy and boundaries. Segmentation of high variability features is uniquely difficult for a computer to perform.

Convolutional Neural Networks for Organ Segmentation

Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy and boundaries. Segmentation of high variability features is uniquely difficult for a computer to perform.

Computer-Aided Diagnostic for Use in Multiparametric MRI for Prostate Cancer

Multiparametric MRI improves image detail and prostate cancer detection rates compared to standard MRI. Computer aided diagnostics (CAD) used in combination with multiparametric MRI images may further improve prostate cancer detection and visualization. The technology, developed by researchers at the National Institutes of Health Clinical Center (NIHCC), is an automated CAD system for use in processing and visualizing prostate lesions on multiparametric MRI images.

Method and System of Building Hospital-Scale Medical Image Database

Developing computer systems that can recognize and locate image features associated with disease is a challenge for developing fully-automated and high precision computer assisted diagnostics. Joint learning of language tasks in association with vision tasks (association of image features with text annotation) adds an additional level of challenge.  Furthermore, scaling-up approaches from small to large datasets presents additional issues, particularly related to medical images.

Zirconium-89 PET Imaging Agents for Direct-Labeling of Cells

The imaging capabilities enabled by this technology may significantly improve cell therapies, cell level diagnostics and aid research for non-cell based therapies. It is not limited by high background activity and cell toxicity. Zirconium-89 (89Zr) has a half-life of 78.4 hours, compared to fluorine (18F), the most commonly used PET isotope with a half-life of 1 hour and 50 minutes.

Improved cortical lesion detection by MRI using high resolution CSF-suppressed T2*-weighted imaging

This technology is an improvement on the ability to visualize cortical lesions in neurological diseases that cause focal tissue damage to the cortex, including multiple sclerosis (MS). Two approaches are used. The first approach includes optimization of routinely available diffusion-weighted sequences to maximize resolution and contrast, both of which are required to differentiate small cortical lesions from normal-appearing cortex.

Monoclonal Antibodies To Prevent or Treat SARS-CoV-2 Infection

The ongoing COVID-19 pandemic, caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), has created an immense public health, social, and economic burden. Variants of concern continue to emerge that have increased transmissibility, pathogenicity, or both and that reduce the effectiveness of current therapeutics and vaccines. Thus, there is a great need for broadly protective therapeutics.