SBIR/STTR Research Award

A Needle Guidance System for Hepatic Tumor Ablation That Fuses Real-Time Ultrasou

Award identifier 678119e303ce1003a36ad236c713d45852aeed3c2900fd4191c80d95f851fdfcAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,222,292

Program and phase

SBIR · Phase II

Award year

2012

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
INNEROPTIC TECHNOLOGY INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
N2ESFMLK3GB5
Solicitation number
PA10-079
Topic code
NCI

Research abstract

DESCRIPTION (provided by applicant): We propose to develop an operating-room-ready system for needle guidance in soft tissue, which fuses intra- operative ultrasound and pre-operative X-ray computed tomography (CT) data by combining two novel technologies:1) a radically different way of visualizing and interacting with the fused ultrasound and CT images, which we call Spotlight ; and 2) an innovative algorithm that automatically and continuously performs ultrasound-to-CT registration. Conventional image guidance during surgery has several problems. For example, intra-operative ultrasound guidance gives real-time feedback about the patient's anatomy, but some tumors are only visible in CT, which offers a higher resolution (and a larger 3D volume). On the other hand, a CT scan of soft tissue becomes obsolete as soon as the organs move by even a small amount, for example, due to breathing. The two modalities are usually viewed on separate monitors, which amplifies another problem: the appearance of anatomicalfeatures is usually different in ultrasound and in CT, and there is no visual correspondence between them. Furthermore, the pre-operative annotations of the CT-indicating the locations of tumors or lesions-cannot be seen in the context of the ultrasound. In this proposal, we address these problems by developing a guidance system that: 1) registers and fuses pre- operative CT with intra-operative ultrasound; 2) dynamically volume-renders the CT scan and its pre-operative annotations in such a way as to highlight the most relevant portions of the dataset given the position of the ultrasound transducer and needle, while still indicating the remaining portions of the dataset for context; and 3) allows for intra-operative annotation to both modalities. To this end, we propose to refine and evaluate Spotlight iteratively, using phantoms and human patients. We also propose to develop a novel ultrasound-to- CT registration technique, to make it suitable for real-time operation during interventions, and to evaluate it, integrated with Spotlight, on human patients. For the evaluation, we will initially deploy the system in open surgical microwave ablation of liver tumors, but the technology is not limited to that specific intervention. In the future, it would be adapted to any procedure in which needles, ultrasound and pre-operative scans such as CT or MRI are employed. Our proposed system has potential to dramatically improve the utility of CT in the operating room, increasing the likelihood of an effective, efficientand complete intervention and improved patient outcome. PUBLIC HEALTH RELEVANCE: We propose to develop a system that registers and visualizes pre-operative CT and intra-operative ultrasound images during surgical interventions. This system provides to the surgeon a combination of the two modalities' benefits while negating each other's shortcomings, allowing him to more effectively and efficiently perform the intervention. The surgeon can also make intra-operative annotations to both modalities with our system, so that he can mark all tumors that he intends to treat. Patient benefits of such a system will include shorter operating time, reduced risk of injury, and increased probability of complete tumor removal, in a variety of interventions, such as ablation, biopsy, and drug delivery.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

6 SBIR/STTR records share this UEI (2003–2012). Reported award amounts total $2,741,873. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

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