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Assessment Of Wound Status And Tissue Viability Via Analysis Of Spatially Resolved Thz Reflectometry Maps

技术优势: Ability to spatially delineate different regions in a wound based on the wound severity and future outcomes of the woundRobust to the presence of edema and tissue swelling in the acute stages of wound progression

技术应用: The proposed algorithm can be potentially applied to spatially delineate different regions in the skin-burn wounds based on the severity of the wound and wound healing status. It can be potentially extended to assessing skin wounds in other pathologies including:Skin cancerPressure ulcersDiabetic ulcersArterial/Venous insufficiency ulcersDermatitisAcneBacterial skin infectionsSurgical wounds

详细技术说明: Dr. Zachary Taylor and colleagues have developed an algorithm that can process terahertz images to assess skin-burn wound status and spatially delineate different regions within the wound as the regions that will heal, regions that require intervention, and regions that are permanently damaged. The algorithm exploits the high contrast sensitivity of terahertz reflectivity maps to differential edema distribution in an acute wound to spatially delineate the wound status. The algorithm’s spatial diagnosis can be co-registered with a visible image to facilitate clinical decision-making. Unlike other imaging techniques, the algorithm is robust to the presence of edema and tissue swelling in acute burn injuries.

*Abstract: UCLA researchers in the Department of Bioengineering have developed an algorithm to assess the burn wound severity and predict its future outcomes using Terahertz imaging.

*Principal Investigation: Name: Neha Bajwa
Department:

Name: James Garritano
Department:

Name: Warren Grundfest
Department:

Name: Bryan Nowroozi
Department:

Name: Shijun Sung
Department:

Name: Zachary Taylor
Department:

Name: Priyamvada Tewari
Department:

其他

State Of Development

A working algorithm exists. The algorithm has been successfully tested in rats to differentiate partial thickness burns from full thickness burns. Results from the algorithm have been validated using histology.

Background

Quantitatively assessing burn wound severity and predicting how the wound heals is important for timely and accelerated therapeutic interventions. However, currently available imaging techniques have limited capabilities to perform such an analysis. Optical coherence tomography is only limited to assessing the morphological features of the wound, while assessing wound severity through Doppler processing of coherent laser illumination is confounded by the presence of edema in the wound tissue. Terahertz imaging has been shown to be a promising technique for assessing the burn wound status due to its high sensitivity and specificity to tissue water content. However, currently there is no technique that can spatially delineate different regions within the burn tissue and determine the future outcomes of the wound.

Related Materials

Taylor, Z. D., Singh, R. S., Culjat, M. O., Suen J. Y., Grundfest, W. S., Lee, H., Brown, E. R. Reflective terahertz imaging of porcine skin burns. Optics Letters, 2008, 33(11): 1258-1260.
Taylor, Z. D., Singh, R. S., Culjat, M. O., Suen J. Y., Grundfest, W. S., Brown, E. R. THz imaging based on water-concentration contrast. Proceedings of SPIE 6949, Terahertz for Military and Security Applications VI, 69490D, 2008.
Tewari, P. Kealey, C. P., Bennett, D. B., Bajwa, N. Barnett, K. S., Singh, R. S., Culjat, M. O., Stojadinovic, A., Grundfest, W. S., Taylor, Z. D. In-vivo terahertz imaging of rat skin burns. Journal of Biomedical Optics, 2012, 17(4): 040503

Additional Technologies by these Inventors

Tech ID/UC Case

27550/2015-149-0

Related Cases

2015-149-0

国家/地区: 美国

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