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R41EB034646

Project Grant

Overview

Grant Description
Low-cost ultrasound imaging for in-home, rural, and clinic care without the need for trained staff - Abstract

As currently practiced, ultrasound imaging, recognized universally as being of great health care importance, requires the operator to have considerable training and anatomic and medical image understanding.

Access to low-cost imaging services for millions of patients in-home, rural areas and clinics is restricted due to the lack of experienced sonographers and clinicians who can effectively acquire high quality scans.

Sonovance, a Maryland small business, is addressing this need by developing a low-cost system for operators with no prior training to acquire diagnostic ultrasound images with standard and portable systems and probes, including mobile devices.

The approach uses a simple geometric model to represent the imaging target region, a position sensor to report the location and orientation of the probe, and a calibration procedure by which to co-register the target region to the patient.

The user interface guides the operator’s positioning of the probe to acquire 2D images that intersect the target region, providing continuous visual feedback as to which regions require additional scanning without requiring the user to view the images themselves.

The system reconstructs these images into a rectangular 3D image volume covering the target region.

Sonovance has completed a prototype system using a standard Intersont probe and an attached electromagnetic sensor to capture position information which has been shown to successfully capture and reconstruct 3D images at prescribed locations on an abdominal phantom.

Two key aims are to be addressed to accomplish the overall goal of arriving at a low-cost and clinically useful prototype from the current one validated on a phantom.

Aim 1 is to optimize and validate the company’s patented system for guiding unskilled operators to obtain acceptable diagnostic ultrasound images of the kidneys in human patients.

Aim 2 is to further reduce the system cost by employing low-cost inertial position sensors and implementing an image reconstruction method based on a statistical image model with position correction to address the reduced accuracy of the positional data.

The two goals are independent of each other and can be developed in parallel.

Following successful proof of concept in this study, Phase II research will focus on clinical trials to evaluate and optimize the accuracy and usability of the system by novice users for kidney and urinary tract ultrasound imaging.

The overall goal of the program is to develop the software into a product deployable worldwide and build out a “full body” of clinical scanning protocols that can be delivered with the technology.

Health systems will be able to deploy novice user scanning with existing AI solutions to assist in diagnostic interpretation based on the patient population.

The clinical imaging protocols can be developed by Sonovance, or others via APIs, and will include abdominal, cardiac, Doppler, and OB-GYN.

This research aligns with NIBIB’s mission to support ultrasound image acquisition and display as well as innovative signal processing and supports the mission of the Point of Care Technologies Network (POCTRN).
Awardee
Funding Goals
TO SUPPORT HYPOTHESIS-, DESIGN-, TECHNOLOGY-, OR DEVICE-DRIVEN RESEARCH RELATED TO THE DISCOVERY, DESIGN, DEVELOPMENT, VALIDATION, AND APPLICATION OF TECHNOLOGIES FOR BIOMEDICAL IMAGING AND BIOENGINEERING. THE PROGRAM INCLUDES BIOMATERIALS (BIOMIMETICS, BIOPROCESSING, ORGANOGENESIS, REHABILITATION, TISSUE ENGINEERING, IMPLANT SCIENCE, MATERIAL SCIENCE, INTERFACE SCIENCE, PHYSICS AND STRESS ENGINEERING, TECHNOLOGY ASSESSMENT OF MATERIALS/DEVICES), BIOSENSORS/BIOTRANSDUCERS (TECHNOLOGY DEVELOPMENT, TECHNOLOGY ASSESSMENT, DEVELOPMENT OF ALGORITHMS, TELEMETRY), NANOTECHNOLOGY (NANOSCIENCE, BIOMIMETICS, DRUG DELIVERY SYSTEMS, DRUG BIOAVAILABILITY, MICROARRAY/COMBINATORIAL TECHNOLOGY, GENETIC ENGINEERING, COMPUTER SCIENCE, TECHNOLOGY ASSESSMENT), BIOINFORMATICS (COMPUTER SCIENCE, INFORMATION SCIENCE, MATHEMATICS, BIOMECHANICS, COMPUTATIONAL MODELING AND SIMULATION, REMOTE DIAGNOSIS AND THERAPY), IMAGING DEVICE DEVELOPMENT, BIOMEDICAL IMAGING TECHNOLOGY DEVELOPMENT, IMAGE EXPLOITATION, CONTRAST AGENTS, INFORMATICS AND COMPUTER SCIENCES RELATED TO IMAGING, MOLECULAR AND CELLULAR IMAGING, BIOELECTRICS/BIOMAGNETICS, ORGAN AND WHOLE BODY IMAGING, SCREENING FOR DISEASES AND DISORDERS, AND IMAGING TECHNOLOGY ASSESSMENT AND SURGERY (TECHNIQUE DEVELOPMENT AND TECHNOLOGY DEVELOPMENT).
Place of Performance
Maryland United States
Geographic Scope
State-Wide
Analysis Notes
Amendment Since initial award the End Date has been extended from 08/31/25 to 12/31/25 and the total obligations have increased 104% from $144,641 to $294,641.
Sonovance was awarded Project Grant R41EB034646 worth $294,641 from the National Institute of Biomedical Imaging and Bioengineering in September 2024 with work to be completed primarily in Maryland United States. The grant has a duration of 1 year 3 months and was awarded through assistance program 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health. The Project Grant was awarded through grant opportunity PHS 2022-2 Omnibus Solicitation of the NIH for Small Business Technology Transfer Grant Applications (Parent STTR [R41/R42] Clinical Trial Not Allowed).

SBIR Details

Research Type
STTR Phase I
Title
Low-Cost Ultrasound Imaging for In-Home, Rural, and Clinic Care Without The Need For Trained Staff
Abstract
Abstract As currently practiced, ultrasound imaging, recognized universally as being of great health care importance, requires the operator to have considerable training and anatomic and medical image understanding. Access to low-cost imaging services for millions of patients in-home, rural areas and clinics is restricted due to the lack of experienced sonographers and clinicians who can effectively acquire high quality scans. Sonovance, a Maryland small business, is addressing this need by developing a low-cost system for operators with no prior training to acquire diagnostic ultrasound images with standard and portable systems and probes, including mobile devices. The approach uses a simple geometric model to represent the imaging target region, a position sensor to report the location and orientation of the probe, and a calibration procedure by which to co- register the target region to the patient. The user interface guides the operator’s positioning of the probe to acquire 2D images that intersect the target region, providing continuous visual feedback as to which regions require additional scanning without requiring the user to view the images themselves. The system reconstructs these images into a rectangular 3D image volume covering the target region. Sonovance has completed a prototype system using a standard Interson probe and an attached electromagnetic sensor to capture position information which has been shown to successfully capture and reconstruct 3D images at prescribed locations on an abdominal phantom. Two key aims are to be addressed to accomplish the overall goal of arriving at a low-cost and clinically useful prototype from the current one validated on a phantom. Aim 1 is to optimize and validate the company’s patented system for guiding unskilled operators to obtain acceptable diagnostic ultrasound images of the kidneys in human patients. Aim 2 is to further reduce the system cost by employing low-cost inertial position sensors and implementing an image reconstruction method based on a statistical image model with position correction to address the reduced accuracy of the positional data. The two goals are independent of each other and can be developed in parallel. Following successful proof of concept in this study, Phase II research will focus on clinical trials to evaluate and optimize the accuracy and usability of the system by novice users for kidney and urinary tract ultrasound imaging. The overall goal of the program is to develop the software into a product deployable worldwide and build out a “full body” of clinical scanning protocols that can be delivered with the technology. Health systems will be able to deploy novice user scanning with existing AI solutions to assist in diagnostic interpretation based on the patient population. The clinical imaging protocols can be developed by Sonovance, or others via APIs, and will include abdominal, cardiac, Doppler, and OB-GYN. This research aligns with NIBIB’s mission to support ultrasound image acquisition and display as well as innovative signal processing and supports the mission of the Point of Care Technologies Network (POCTRN).
Topic Code
NIBIB
Solicitation Number
PA22-178

Status
(Complete)

Last Modified 4/20/26

Period of Performance
9/4/24
Start Date
12/31/25
End Date
100% Complete

Funding Split
$294.6K
Federal Obligation
$0.0
Non-Federal Obligation
$294.6K
Total Obligated
100.0% Federal Funding
0.0% Non-Federal Funding

Activity Timeline

Interactive chart of timeline of amendments to R41EB034646

Transaction History

Modifications to R41EB034646

Additional Detail

Award ID FAIN
R41EB034646
SAI Number
R41EB034646-2910426304
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Small Business
Awarding Office
75N800 NIH National Institute of Biomedical Imaging and Bioengineering
Funding Office
75N800 NIH National Institute of Biomedical Imaging and Bioengineering
Awardee UEI
LG2BCG5MGHJ1
Awardee CAGE
None
Performance District
MD-90
Senators
Benjamin Cardin
Chris Van Hollen
Modified: 4/20/26