SBIR/STTR Research Award

Video Rate Optical Coherence Tomography for Early Stage Cancer Visualization

Award identifier 27559668c9d9f6c2a1e9405b87b69694dfb56ea8c9be3aa404eebf500fffae52Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$322,036

Program and phase

SBIR · Phase I

Award year

2007

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
IMALUX CORPORATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Bladder cancer is the 5th most expensive cancer in the US accounting for estimated 5.3 billion in direct medical costs in 2005. With bladder cancer patients having a 10 year survival rate of 77% and its known high rate of recurrence and progression, there is a need for the development of more sophisticated surveillance tools. Currently up to 6 random biopsies of normal appearing urothelium are taken in patients presenting with superficial bladder cancer at the time of t he resection or biopsy of the visible tumor. Optical Coherence Tomography (OCT) is a new real-time optical cross-sectional imaging modality, capable of visualizing microstructural tissue changes associated with cancer and other pathological conditions. OCT systems like the Imalux Niris(tm) Imaging System can potentially guide or replace biopsies, as well as guide surgical treatment. It can detect changes associated with bladder carcinoma or even precancer conditions like dysplasia. However, the existing OCT systems have a slow image acquisition rate and can only perform single point imaging; therefore their ability to survey large surface organs like the bladder is limited. To be able to acquire OCT images at substantially higher rate (video rate), without c ompromising image quality would allow physicians/clinicians to survey large organs in an efficient amount of time. By detecting and treating additional foci of disease at a single point-of-care visit, video rate OCT during treatment could significantly dec rease the recurrence rate of disease and thereby decrease the frequency of follow-up cystoscopy evaluations. We have an original, innovative concept for creation of a fast-scanning Frequency Domain OCT (FD- OCT) system based on common path topology. The FD -OCT image acquisition principle insures superior image quality at a fast acquisition rate. The common path optical topology, used in our Niris device, is insensitive to fiberoptic probe length, fiber type and polarization distortions associated with probe bending. Thus, our proposed imaging system is a video rate OCT device capable of endoscopic applications with uncompromised image quality. In Phase I, an experimental breadboard of the new optical layout will be constructed utilizing a tunable light sourc e. In Phase II, a prototype OCT system with fast scanning, real time image acquisition and visualization will be built using the optical layout with proven feasibility from Phase I. Verification of the prototype system will be completed via performance tes ting, including ex vivo OCT imaging of biotissues. The long term goal of the project is to develop a Video Rate Optical Coherence Tomography System (VR-OCT) for early cancer visualization that will provide clinicians enhanced capabilities by allowing them to scan and survey large organs in real-time in addition to performing point imaging of smaller anatomical areas.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.