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Constrained Tomography with Under-Sampled Projections

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15QKN-22-P-0060
Agency Tracking Number: A22B-T006-0101
Amount: $172,288.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A22B-T006
Solicitation Number: 22.B
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-09-24
Award End Date (Contract End Date): 2023-03-31
Small Business Information
SAN DIEGO, CA 92130-5754
United States
DUNS: 081267253
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Vadim Markel
 (215) 746-3014
Business Contact
 Curt Betts
Phone: (541) 971-3589
Research Institution
 Trustees of the University of Pennsylvania
 Jillian Cawley
3451 Walnut Street, 5th Floor Franklin Bldg.
Philadelphia, PA 19104-6205
United States

 (215) 898-7293
 Nonprofit College or University

Inspection is central to maintaining the quality of products both during manufacturing and in storage. Non-destructive inspection of the internals of a product often requires imaging of the product by particles with low interaction cross section, such as X-rays. In Computed Tomography (CT), the 3D image is reconstructed using measurements of transmission using a large number of angles (projections), which takes a significant amount of time. This creates a challenge for the use of CT at scale. Certain features of the products are known, such as that the product is effectively made up of only a few materials. This knowledge can be included in the reconstruction as a constraint, which allows the 3D image to be reconstructed using a reduced set of projections. This Proposal builds on the novel binarity-constraint based reconstruction technique discovered by Drs. Markel and Levinson (Levinson, 2021) to propose the development of mathematical methods and computer software for constrained tomography with undersampled projections, which will enable inspection at scale.

* Information listed above is at the time of submission. *

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