SBIR/STTR Research Award

Robotic Ultrasound Image Guidance System for Radiation Therapy

Award identifier ce4803eb23c62f90e8de05b4f9e37cd7f059dbc199f0e9ebf5a7ddeffeb035d9Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$227,485

Program and phase

STTR · Phase I

Award year

2012

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
SoniTrack Systems, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PA10-080
Topic code
NCI

Research abstract

DESCRIPTION (provided by applicant): External Beam Radiation Therapy (EBRT) is used in the disease management of more than half of all cancer patients worldwide. In order to advance the field of EBRT and improve treatment outcomes, highly conformal, potentablative doses must be delivered to maximize local tumor control and minimize toxicity to surrounding healthy tissue. Random and quasi-periodical anatomy motion during beam delivery poses a fundamental threat to realizing such conformity, and thus restricts the curative potential of EBRT. Existing and emerging technologies for localizing abdominal targets during beam delivery employ tracking of implanted fiducial markers, tracking of external surrogates, or guidance via magnetic resonance images. However,these technologies cannot provide real-time, volumetric, non-invasive, markerless soft-tissue image guidance capabilities to existing radiation delivery platforms. Thus a significant scientific and commercial opportunity exists to improve the technical capability and clinical outcomes of EBRT. Our vision is to realize this opportunity by pursuing a novel EBRT image guidance approach combining real-time volumetric (4D) ultrasound (US) with robotic technology. In the envisaged product, soft-tissue images of target anatomy are continuously obtained using a customized, minimally-invasive robotic manipulator designed to control the position and force of a 4D US probe against the patient. Before and during treatment, tissue displacements are tracked in spatially localized US images and used to guide precise patient positioning and EBRT delivery to the target. In this Phase I Small Business Technology Transfer grant, SoniTrack Systems proposes to establish the commercial feasibility of such a product by: (1) demonstrating the robustness of the robotic 4D US system for imaging abdominal and pelvic cancer patients; (2) demonstrating two effective strategies to account for image guidance system hardware in radiation treatment designs; and (3) demonstrating real-time 3Dtracking of target sites with multi-plane and volumetric US imaging. Accomplishment of these objectives will remove the main technological and clinical risks related to the proposed product. Commercialization of the product by SoniTrack can transform the radiation therapy field by enabling treatments that are truly adaptive to the continuous changes of internal soft-tissue anatomy during radiation beam delivery. PUBLIC HEALTH RELEVANCE: This research evaluates a novel approach to radiotherapy guidance thathas significant potential to reduce healthy tissue toxicity, increase local tumor control rate, and enable the delivery of previously unavailable radiation treatment regimens (e.g. highly ablative doses in close proximity to critical structures). Thus theproposed research directly advances the NIH mission of applying knowledge to enhance health, lengthen life, and reduce the burdens of illness. PUBLIC HEALTH RELEVANCE: This research evaluates a novel radiotherapy image guidance approach combiningreal-time volumetric (4D) ultrasound (US) with robotic technology. The proposed guidance system has significant potential to reduce healthy tissue toxicity, increase local tumor control rates, and enable the delivery of previously unavailable radiation treatment regimens (e.g. highly ablative doses in close proximity to critical structures) Thus the proposed research directly advances the NIH mission of applying knowledge to enhance health, lengthen life, and reduce the burdens of illness.

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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