Non–invasive tissue therapies often employ laser systems in combination with skin cooling methods. The efficacy of a treatment outcome is dependent on the depth temperature profile within the tissue. Currently, monitoring methods are either invasive or cannot be integrated with a laser medical system such that would support real-time monitoring. Developed non-contact method combines thermography and mathematical model that is based on heat transfer in biological tissues. Algorithm based on best matching process and bio-heat model estimates depth temperature profile based on thermographic recording of the surface temperature evolution. We present the protocol for tissue parameter estimation protocol, which allows for simulations of tissue heating. Research included ex-vivo and in-vivo performed hyperthermic laser lipolysis and showed a peak temperature estimation with an average error smaller than ±1 °C and ±1 mm. Developed methods were integrated with a newly developed multi–sensor supervision module.
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