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METHODS AND SYSTEMS FOR ASSESSING HEALING OF TISSUE
专利权人:
Novadaq Technologies Inc.
发明人:
Gurevich, Lina
申请号:
AU2019236680
公开号:
AU2019236680A1
申请日:
2019.09.25
申请国别(地区):
AU
年份:
2019
代理人:
摘要:
#$%^&*AU2019236680A120191017.pdf#####ABSTRACT Methods and systems for assessing tissue of a subject include receiving a time series of signal intensity data capturing the transit of an imaging agent through tissue over a period of time, wherein the tissue comprises a plurality of calculation regions and wherein signal intensity in each calculation region over the period of time may be approximated by a time-intensity curve corresponding to the calculation region; determining, for each calculation region, a coefficient value that is related to at least a portion of the time-intensity curve corresponding to the calculation region; and converting the coefficient values across the plurality of calculation regions into a coefficient-derived image map. Fig 1WO 2017/051230 PCT/IB2016/001216 1/26 100 110 generating a time series of signal intensity data I L-------- --- - - -------.. receiving a time series of signal intensity data, wherein the tissue comprises a plurality 112 of calculation regions and wherein signal intensity in each calculation region may be approximated by a time-intensity curve corresponding to the calculation region determining, for each calculation region, a coefficient value that is related to at least a 114 portion of the time-intensity curve corresponding to the calculation region 116 converting the coefficient values across the plurality of calculation regions into a coefficient-derived image map dislayng he oeficint- assessing tissue of the subject based at least in displayingthecoefficient- part on the coefficient-derived image map 118 derived image map on a _assssingtisseofhesujectbasedatlesti display assessing a healing status of a wound 122 based on a heterogenous pattern in the coefficient-derived image map 120 r generating a quantitative predictor 124 based on at least a portion of the coefficient-derived image FIG. 1
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