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Bio-mathematical Models of Aggregated Tissues & Organ Properties

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH-16-C-0095
Agency Tracking Number: H16A-001-0003
Amount: $150,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: DHP16A-001
Solicitation Number: 2016.0
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-08-08
Award End Date (Contract End Date): 2017-03-07
Small Business Information
145 Overhill Dr
Mooresville, NC 28117
United States
DUNS: 080029038
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Dr. Kevin Lister
 (704) 799-6944
Business Contact
 Dr. David Robinson
Phone: (704) 799-6944
Research Institution
 Illinois Institute of Technology
 Dr. Joseph Orgel
132 Technology Park Building \N
Chicago, IL 60616
United States

 (312) 567-3398
 Nonprofit College or University

Realistic surgical simulation requires a combination of representative tissue geometry, accurate tissue material properties and lifelike tool-tissue interaction forces. Recent advances in computational power and imaging modalities have provided the capability to represent the anatomical details required for surgical training; however, the mathematical models which govern the underlying tissue properties and tool tissue interactions have not reached the same level of maturity. While individual tissue types have been characterized, the boundaries and transition regions between tissue types has been typically neglected. The proposed effort aims to focus on mathematical characterization on the muscle tendon junction (MTJ) utilizing a combination of novel experimental and simulation based techniques. The mechanical response of the MTJ under various loading conditions will be analyzed to generate a full strain field representation of the tissue transition region. Using this information, a novel modeling approach will be developed for the MTJ. This biophysical mathematical model can then be incorporated into surgical simulation systems to improve the physical representation of the tissue deformation, enhance the tool-tissue interaction, and increase the simulation stability under large strain. This process also serves as a demonstration of the overall methodology which can be applied to other tissue transition and interaction regions.

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

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