Light Mobile Ultrasound

Invention Summary:

Ultrasound and other medical imaging devices generate images by scanning biological structures and/or tissues of patients. These images aid in the diagnosis of serious illnesses such as cancer.   Issues such poor quality and clarity of scanned images or conditions associated with the patient during scans or skill of the technician can lead to incorrect or misdiagnosis.

Rutgers researchers have developed a novel method to correct image blur in medical images and identify objects of interest in these images. This method uses a neural network in conjunction with a deep learning model to eliminate blurs and aid in the early detection of disease. The medical image is subsequently processed with a deep learning model to correct the image blur. The neural network module may also be configured to receive the medical ultrasound image from a medical image provider.

This technology can be used for any type of medical image display and diagnostic technology (software, device, other.)

In addition, the technology can be bundled with four related technologies to create a complete, cost-effective, and accurate solution for enhancing, transmitting, and interpreting and providing diagnoses using captured medical images.  The other technologies include:


  • Easy identification of areas of concern
  • Device and software independent
  • For diagnosis of a wide array of medical conditions using medical images
  • Supports images generated by, stored, or captured by imaging devices and a unique ability to capture and enhance medical images on a mobile phone 

Market Applications:

  • Telemedicine / Teleradiology
  • Mobile medical scanning (e.g., mobile ultrasound)
  • Medical Image Solutions, Systems & Software
  • Electronic Medical/Health Systems

Intellectual Property & Development Status: 

Provisional patent application filed, patent pending. Available for licensing and/or search collaboration. Please contact


Contact Information

TTO Home Page:

Name: Eusebio Pires

Title: TechAdvance Manager

Department: Research Commercialization