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迈向激光治疗期间对异质组织内温度场进行个性化和通用监测。

Towards personalized and versatile monitoring of temperature fields within heterogeneous tissues during laser therapies.

作者信息

Kosir Jure, Vella Daniele, Lukac Matjaz, Jezersek Matija

机构信息

Faculty of Mechanical Engineering, University of Ljubljana, Askerceva 6, Ljubljana, Slovenia.

Department of Complex Matter, Jozef Stefan Institute, Jamova 39, Ljubljana, Slovenia.

出版信息

Biomed Opt Express. 2021 Jun 28;12(7):4530-4543. doi: 10.1364/BOE.428028. eCollection 2021 Jul 1.

Abstract

Advancements in medical laser technology have paved the way for its widespread acceptance in a variety of treatments and procedures. Selectively targeting particular tissue structures with minimally invasive procedures limits the damage to surrounding tissue and allows for reduced post-procedural downtime. In many treatments that are hyperthermia-based, the efficiency depends on the achieved temperature within the targeted tissues. Current approaches for monitoring subdermal temperature distributions are either invasive, complex, or offer inadequate spatial resolution. Numerical studies are often therapy-tailored and source tissue parameters from the literature, lacking versatility and a tissue-specific approach. Here, we show a protocol that estimates the temperature distribution within the tissue based on a thermographic recording of its surface temperature evolution. It couples a time-dependent matching algorithm and thermal-diffusion-based model, while recognizing tissue-specific characteristics yielded by a fast calibration process. The protocol was employed during hyperthermic laser treatment performed ex-vivo on a heterogeneous porcine tissue, and in-vivo on a human subject. In both cases the calibrated thermal parameters correlate with the range of values reported by other studies. The matching algorithm sufficiently reproduced the temperature dynamics of heterogeneous tissue. The estimated temperature distributions within ex-vivo tissue were validated by simultaneous reference measurements, and the ones estimated in-vivo reveal a distribution trend that correlates well with similar studies. The presented method is versatile, supported by the protocol for tissue-specific tailoring, and can readily be implemented for temperature monitoring of various hyperthermia-based procedures by means of recording the surface temperature evolution with a miniature thermal camera implemented within a handheld laser scanner or similar.

摘要

医学激光技术的进步为其在各种治疗和手术中的广泛应用铺平了道路。通过微创手术选择性地靶向特定组织结构,可将对周围组织的损伤降至最低,并减少术后停机时间。在许多基于热疗的治疗中,效率取决于目标组织内达到的温度。目前监测皮下温度分布的方法要么具有侵入性、复杂,要么空间分辨率不足。数值研究通常是针对特定疗法的,且参数来自文献中的源组织,缺乏通用性和针对组织的方法。在此,我们展示了一种协议,该协议基于对组织表面温度演变的热成像记录来估计组织内的温度分布。它结合了时间相关的匹配算法和基于热扩散的模型,同时识别通过快速校准过程得出的组织特定特征。该协议在对异种猪组织进行的离体热疗激光治疗以及对人体受试者进行的体内热疗激光治疗中得到应用。在这两种情况下,校准后的热参数都与其他研究报告的值范围相关。匹配算法充分再现了异种组织的温度动态。通过同步参考测量对离体组织内估计的温度分布进行了验证,体内估计的温度分布显示出与类似研究相关性良好的分布趋势。所提出的方法具有通用性,得到了针对组织特定定制的协议的支持,并且可以通过使用手持激光扫描仪或类似设备中内置的微型热像仪记录表面温度演变,轻松实现对各种基于热疗的手术的温度监测。

相似文献

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Techniques for temperature monitoring during laser-induced thermotherapy: an overview.激光诱导热疗中温度监测技术:概述。
Int J Hyperthermia. 2013 Nov;29(7):609-19. doi: 10.3109/02656736.2013.832411. Epub 2013 Sep 13.

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