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Award Detail

Doing Business As Name:RADIOSIGHT LLC
  • Amir Mirbeik-Sabzevari
  • (201) 492-4865
  • Negar Tavassolian
Award Date:04/21/2021
Estimated Total Award Amount: $ 256,000
Funds Obligated to Date: $ 256,000
  • FY 2021=$256,000
Start Date:05/01/2021
End Date:04/30/2022
Transaction Type:Grant
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:STTR Phase I: Point-of-Care Skin Cancer Imaging Device
Federal Award ID Number:2112267
DUNS ID:029018169
Program:STTR Phase I
Program Officer:
  • Henry Ahn
  • (703) 292-7069

Awardee Location

Awardee Cong. District:

Primary Place of Performance

Organization Name:Stevens Institute of Technology
Street:Castle Point on Hudson
Cong. District:08

Abstract at Time of Award

The broader impact/commercial potential of this Small Business Technology Transfer Program (STTR) Phase I project is to develop an affordable tool to image the skin over its depth while offering large contrasts between normal, malignant, and benign tissues. Such a device will be an invaluable assistance to dermatologists and dermatologic surgeons and significantly enhance the current state of skin cancer detection and management. The proposed system will be integrated in a single framework, resulting in a compact (handheld) and real-time imager at a low manufacturing cost. This will make the proposed technology comparable in cost to dermoscopic imaging, facilitating its widespread use and application. The proposed device will also be able to identify tumor margins in the millimeter-wave images of skin lesions. This capability will simplify the tumor removal surgery to a single-layer excision procedure. The proposed imager will be used by dermatologists and dermatologic surgeons prior to biopsy or tumor excision, facilitating the detection and removal of tumors. This Small Business Technology Transfer Program (STTR) Phase I project is focused on developing a fully-integrated ultra-wideband millimeter-wave imaging system for the first time. This will be realized by employing the synthetic ultra-wideband imaging approach, where several disjointed, adjacent imaging sub-bands are integrated to collectively form an ultra-wide imaging bandwidth. Each sub-band contains a transmitting and a receiving element that operate only within that specific sub-band. In this research, the RF front-ends of sub-band phased-array antennas will be developed and integrated with the transceiver components of the imaging system on a single chip. The developed phased arrays will be configured to radiate and collect RF frequencies over different frequency sub-bands, while forming independent beams with separate phase-shifting operations. Therefore, electronic beam-steering can be used for scanning the target region. In addition, a novel method for tumor margin identification in 3-D millimeter-wave images is proposed in which a-priori information about the statistical distribution of the dielectric properties of tissues is employed. This will result in a more accurate segmentation of the dielectric properties at a low computational cost. The ultra-wide bandwidth of the proposed imager will result in significantly higher image resolutions compared to the state-of-the-art millimeter-wave imaging technology. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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