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

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$1,222,292.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
2R44CA143234-02A1
Award Id:
n/a
Agency Tracking Number:
R44CA143234
Solicitation Year:
2012
Solicitation Topic Code:
NCI
Solicitation Number:
PA10-079
Small Business Information
106A N. Churton St., Hillsborough, NC, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
128277980
Principal Investigator:
SHARIF RAZZAQUE
(919) 732-2090
sharif@inneroptic.com
Business Contact:
CAROLINE GREEN
(919) 732-2090
caroline@inneroptic.com
Research Institution:
Stub




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.

* information listed above is at the time of submission.

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