20.500.12556/RUL-143244 Adaptivni laserski medicinski sistem za terapijo površinskih tkiv Self-adaptive medical laser system for surface tissue therapy Neinvazivne terapije površinskih tkiv vključujejo laserske sisteme v kombinaciji s sistemi za hlajenje kože. Učinkovitost tovrstnih terapij je odvisna od globinskega temperaturnega profila v tkivu. Obstoječe merilne metode so bodisi invazivne, ali pa jih ni možno sklopiti z laserskim medicinskim sistemom tako, da bi bilo možno sprotno merjenje. Razvita metoda temelji na sklopitvi brezkontaktne metode termografije in matematičnega modela obravnavanega fizikalnega problema, ki zajema prenos toplote v bioloških tkivih. Razviti algoritem globinsko temperaturno polje oceni na osnovi merjenja časovnega spreminjanja temperature na površini tkiva in iskanja najboljšega približka, ki je bil izračunan z matematičnim modelom. Predstavljen je protokol za oceno tkivnih parametrov in simulacije segrevanja tkiva. Raziskave vključujejo ex-vivo in in-vivo izvedbo hipertermične laserske lipolize in kažejo povprečno odstopanje ocenjenega temperaturnega vrha, ki je manjše od ±1 °C in ±1 mm. Razvito programsko opremo smo integrirali z novo razvitim nadzornim modulom, ki vključuje več senzorskih elementov. 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. laserska terapija nadzor procesa termografija temperatura v podkožju neinvazivno tkivo laser therapy process supervision thermography subsurface temperature non–invasive tissue true false false [J. Košir] Slovenski jezik Angleški jezik Doktorsko delo/naloga 2022-12-09 08:30:30 2022-12-09 08:30:35 2023-10-20 08:33:36 0000-00-00 00:00:00 2022 0 Ljubljana 0 XXVI, 146 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 536.5:615.849.7:004.942(043.3) 248905 136146179 22549.pdf 22549.pdf 1 4A7D5FD24ACBD4E32F2401C1930C21CE 361ded70531c65e360b9ef35f623c62966b716f568dae271ae69d5de3bd93a09 351d47b7-7793-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=164866 Fakulteta za strojništvo 0 0 0