Computational analysis of linear energy modulation for laser thermal coagulation

Tran, Vân Nam; Truong, Van Gia; Jeong, Seok; Kang, Hyun Wook

doi:10.1364/boe.9.002575

Cited by 13 publications

(9 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Coagulation is known to occur when the tissue temperature reaches approximately 60 °C because of protein denaturation. However, the extent of the thermal damage is dependent not only on the temperature but also on the tissue’s exposure time at that temperature 17 . The ratio is thus quantified using the temperature- and time-dependent damage parameter , which is calculated using the Arrhenius integral (see Eq.…”

Section: Computational Simulation Of Laser Ablationmentioning

confidence: 99%

“…These models enable computational simulations to quantify the photothermal effects of laser ablation. Computational simulations of laser ablation consist of calculations of the light transport, the temperature increase, and the degree of thermal damage caused 17 – 19 . Each step requires an input of numerical information from the previous step, experimental measurement of the tissue properties, and modeling of the tissue structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transient simulation of laser ablation based on Monte Carlo light transport with dynamic optical properties model

Shimojo¹,

Sudo²,

Nishimura³

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Laser ablation is a minimally invasive therapeutic technique to denature tumors through coagulation and/or vaporization. Computational simulations of laser ablation can evaluate treatment outcomes quantitatively and provide numerical indices to determine treatment conditions, thus accelerating the technique’s clinical application. These simulations involve calculations of light transport, thermal diffusion, and the extent of thermal damage. The optical properties of tissue, which govern light transport through the tissue, vary during heating, and this affects the treatment outcomes. Nevertheless, the optical properties in conventional simulations of coagulation and vaporization remain constant. Here, we propose a laser ablation simulation based on Monte Carlo light transport with a dynamic optical properties (DOP) model. The proposed simulation is validated by performing optical properties measurements and laser irradiation experiments on porcine liver tissue. The DOP model showed the replicability of the changes in tissue optical properties during heating. Furthermore, the proposed simulation estimated coagulation areas that were comparable to experimental results at low-power irradiation settings and provided more than 2.5 times higher accuracy when calculating coagulation and vaporization areas than simulations using static optical properties at high-power irradiation settings. Our results demonstrate the proposed simulation’s applicability to coagulation and vaporization region calculations in tissue for retrospectively evaluating the treatment effects of laser ablation.

show abstract

Section: Computational Simulation Of Laser Ablationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transient simulation of laser ablation based on Monte Carlo light transport with dynamic optical properties model

Shimojo¹,

Sudo²,

Nishimura³

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The tissue temperature distribution can be predicted using the bioheat transfer equation (Haemmerich 2022, Hentschel et al 2022. To date, a substantial body of literature has been published on temperature simulations using bioheat transfer equation for LITT (Schwarzmaier et al 1998, Mohammed and Verhey 2005, Paulides et al 2013, Fahrenholtz et al 2015, Shibib et al 2017, Fahrenholtz et al 2018, Truong et al 2018, Bazrafshan et al 2019, Amini and Ahmadikia 2021, Hentschel et al 2022, Hübner et al 2022, Kerbage et al 2022. These studies have focused on various organs, including the liver, prostate, brain, and breasts, among others.…”

Section: Introductionmentioning

confidence: 99%

“…These studies have focused on various organs, including the liver, prostate, brain, and breasts, among others. They can be broadly categorized into three main research purposes: (1) temperature monitoring or preoperative treatment planning (Fahrenholtz et al 2015, 2018, Bazrafshan et al 2019, (2) exploring the relationship between thermal dose, tissue temperature, and ablated volume size (Truong et al 2018, Kerbage et al 2022, and (3) investigating the effects of relevant parameters on temperature simulation and the extent of tissue damage (Shibib et al 2017, Hentschel et al 2022. These investigations provide a reliable theoretical and practical foundation for tissue temperature simulations during LITT.…”

Section: Introductionmentioning

confidence: 99%

Patient-specific temperature distribution prediction in laser interstitial thermal therapy: single-irradiation data-driven method

Gao,

Liang,

Ding

et al. 2024

Phys. Med. Biol.

View full text Add to dashboard Cite

Laser interstitial thermal therapy (LITT) has been popular for treating brain tumours and epilepsy. The strict control of tissue thermal damage extent is crucial for LITT. Temperature prediction is useful for predicting thermal damage extent. Accurately predicting in vivo brain tissue temperature is challenging due to the temperature dependence and the individual variations in tissue properties. Considering these factors is essential for improving the temperature prediction accuracy. Objective: To present a method for predicting patient-specific tissue temperature distribution within a target lesion area in the brain during LITT. Approach: A magnetic resonance temperature imaging (MRTI) data-driven estimation model was constructed and combined with a modified Pennes bioheat transfer equation (PBHE) to predict patient-specific temperature distribution. In the PBHE for temperature prediction, the individual specificity and temperature dependence of thermal tissue properties and blood perfusion, as well as the individual specificity of optical tissue properties were considered. Only MRTI data during one laser irradiation were required in the method. This enables the prediction of patient-specific temperature distribution and the resulting thermal damage region for subsequent ablations. Main results: Patient-specific temperature prediction was evaluated based on patients’ data acquired during LITT in the brain, using intraoperative MRTI data as the reference standard. Our method significantly improved the prediction performance of temperature distribution and thermal damage region. The average root mean square error was decreased by 69.54%, the average intraclass correlation coefficients was increased by 37.5%, the average Dice similarity coefficient was increased by 43.14% for thermal damage region prediction. Significance: The proposed method can predict temperature distribution and thermal damage region at an individual patient level during LITT, providing a promising approach to assist in patient-specific treatment planning for LITT in the brain.

show abstract

“…Indeed, an open-loop approach is usually implemented when laser settings are defined before the procedure based on tumor size and location, and these settings remain constant during the whole procedure Some recent works have demonstrated that the use of temperature feedback is beneficial for the laser ablation outcome and for controlling the treated margins [18]. Most of these works regulate the laser power based on the tissue temperature measured with single-point sensors, such as thermocouples and thermistors.…”

Section: Introductionmentioning

confidence: 99%

Feedback-controlled thermal therapy of tissues based on fiber Bragg grating thermometers

Korganbayev

Orrico

Bianchi

et al. 2021

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

View full text Add to dashboard Cite

Accurate treatment monitoring and control are essential factors to ensure safe and effective outcomes of thermal ablation therapies. In this work, we report a temperature feedback-controlled laser ablation system based on fiber Bragg grating (FBG) array measurements. A highly spatially resolved array of FBGs spaced at a distance of 0.01 mm was adopted to achieve accurate measurement of high-gradient temperature profiles during laser ablation in biological tissue. The temperature feedback-control based on FBG array measurements and on the subsequent laser current regulation was implemented to maintain stable peak temperature during ablation. The laser current was controlled based on the selection of threshold values, set for the maximum temperature in the laser-irradiated area, i.e., 43 °C, 48 °C, 55 °C, and 60 °C. The feedback-controlled system was validated comparing measured temperature maps during ablation and ablation results on the tissue surface. Finally, results suggest that our feedback system allows controlling the spatial extension of the ablated zone and preserving the maximum tissue temperature within useful ranges for a desired and optimal thermal ablation outcome.

show abstract

Computational analysis of linear energy modulation for laser thermal coagulation

Cited by 13 publications

References 33 publications

Transient simulation of laser ablation based on Monte Carlo light transport with dynamic optical properties model

Transient simulation of laser ablation based on Monte Carlo light transport with dynamic optical properties model

Patient-specific temperature distribution prediction in laser interstitial thermal therapy: single-irradiation data-driven method

Feedback-controlled thermal therapy of tissues based on fiber Bragg grating thermometers

Contact Info

Product

Resources

About