Tilted Fiber Bragg Grating Active Heater for Controlled and Localised Hyperthermia
Notice bibliographique
Résumé
We present data from localized heat inducement studies at both cellular and tissue levels along with a computational model built to predict the temperature increase and damage extent in tissues receiving hyperthermia treatment by a fiber-based active heater.This novel fiber-based active heater serves as a heat source and a temperature sensor.Five important insights are highlighted from this thesis work.First, heat-induced controlled cell deaths were observed experimentally in the three cell lines with MCF-10A being more susceptible to heat compared to HEK 293 and MCF7 cells.Second, comparison between the phantom tissue and ex vivo experimental and computational results shows a lesion size of 5×12 mm and 4.87×11.6mm in the phantom tissue and 7×15 mm and 8.8×14.3mm in the ex vivo studies at pumping power of 1.8 W for 10 minutes respectively.Thus, this computational model is able to provide information about the heat transfer characteristics caused by the active heater in living biological tissue.Third, under similar conditions of pumping power and heating time to that used in the ex vivo experiment, we found that the blood perfusion has a profound effect on the amount of induced heat at the active heater surface (or at the heat source).Because of the small dimension of lethal volume, heat dissipation by blood with a volumetric perfusion rate of 6.4×10 -3 Kg/m 3 s in the liver tissues is very small.Forth, in all the experimental and computational studies, hyperthermia position and damage extent can be controlled by the active heater through managing the temperature increase and the power supply during heating, thereby avoiding the transient effect of heat outside of the target volume.Thus, this hybrid simulation/active heater approach I am indebted first to God for giving me all the people whom support me during my PhD studies.I would like to express my gratitude to my supervisors, Prof. Jacques Albert and Prof. Christopher W. Smelser.I appreciate the freedom you have given me in conducting my experiments and provided me with the guidance and support whenever I needed help.Dr. Jacques, you have always made yourself available to me and to my research.He has provided me with a lot of fruitful comments and questions.His scientific vision and his way in reading reports along with his vast knowledge are very impressive, yet scary!I can literally say that I have always taken something from him each time we talked.Dr. Christopher, you were the first person I met in the group.Chris is someone you will instantly like; he is very kind and lively.I was very lucky that when I started my PhD degree in Fall 2014, you were teaching the adv.topics in electromagnetics course.It was very rich with the necessary information about guiding and coupling waves in general and particularly about the FBGs devices giving me a fast and easy start to my PhD research.He is always available to write letters for my sponsorship, to fix my writing, to discuss my experiments providing me with insightful comments.Each of you are very big-hearted and have given me a lot from your expertise and time over the last four years, so thank you so much.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».