磁共振引導(dǎo)乳腺癌熱消融治療的溫度成像方法研究
發(fā)布時(shí)間:2018-08-04 15:52
【摘要】:磁共振引導(dǎo)的乳腺微波熱消融治療是一種重要的微創(chuàng)介入治療方式,由于有著創(chuàng)傷小、恢復(fù)快等優(yōu)勢,它正逐漸成為治療乳腺癌的有效手段。在微創(chuàng)介入治療中,需要解決對目標(biāo)組織施加熱量的控制和對手術(shù)部位的溫度監(jiān)控等問題,因此必須對治療過程進(jìn)行實(shí)時(shí)監(jiān)控包括對目標(biāo)組織精確定位和溫度監(jiān)控,以提高手術(shù)的成功率。 在磁共振引導(dǎo)乳腺微波消融手術(shù)過程中,溫度成像方法可以算出被消融區(qū)域的準(zhǔn)確溫度。雖然目前國內(nèi)外已經(jīng)有很多種溫度成像方法,但是由于乳腺組織自身的特殊性,需要對已有的溫度成像方法加以改進(jìn),以消除乳腺組織中大量的脂肪組織對溫度測量的準(zhǔn)確性的影響:而在同時(shí)含有水和脂肪的組織中,含有水的組織的測溫結(jié)果會受到溫度變化導(dǎo)致的周圍脂肪組織的磁化率變化的影響,引起測溫誤差。因此,需要一種新的測溫方法或者溫度成像優(yōu)化方法減小磁化率變化對測溫準(zhǔn)確性的影響。 針對上述問題,本文提出了一種新的基于磁化率變化的溫度成像優(yōu)化方法。首先使用最基本的溫度成像方法求出熱消融區(qū)域的溫度;然后針對乳腺組織的特異性,使用水脂分離的溫度成像方法計(jì)算溫度,同時(shí)借助水和脂肪磁化率變化的差異性對溫度進(jìn)行修正;最后將溫度差作為評估溫度修正算法優(yōu)劣的指標(biāo)。 最后仿真實(shí)驗(yàn)結(jié)果表明,對于包含水脂兩種組織的熱消融模型,在微波消融輸入功率為15W,微波消融時(shí)間為300s的時(shí)候,本算法的綜合修正效果最好。上述結(jié)果證明了本算法的正確性以及可行性,適用于任何含有水和脂肪兩種物質(zhì)的組織。
[Abstract]:Magnetic resonance guided microwave ablation is an important method of minimally invasive interventional therapy. Because of its advantages of less trauma and faster recovery, it is becoming an effective method for the treatment of breast cancer. In the minimally invasive interventional therapy, it is necessary to solve the problems of applying heat to the target tissue and monitoring the temperature of the operation site, so it is necessary to monitor the treatment process in real time, including the precise location and temperature monitoring of the target tissue. In order to improve the success rate of operation. In the course of microwave ablation of breast guided by magnetic resonance imaging, the accurate temperature of the ablated area can be calculated by thermography. Although there are many kinds of temperature imaging methods at home and abroad, because of the particularity of mammary tissue itself, the existing thermal imaging methods need to be improved. To eliminate the effect of a large amount of adipose tissue in breast tissue on the accuracy of temperature measurements: in tissues that contain both water and fat, The temperature measurement results of tissues containing water will be affected by the change of magnetic susceptibility of the surrounding adipose tissue caused by the temperature change, resulting in the temperature measurement error. Therefore, a new temperature measurement method or a temperature imaging optimization method is needed to reduce the influence of magnetic susceptibility on the accuracy of temperature measurement. In order to solve the above problems, a new optimization method of temperature imaging based on magnetic susceptibility variation is proposed in this paper. First, the temperature of the ablation area is calculated by using the most basic temperature imaging method, and then the temperature is calculated by using the water-lipid separation temperature imaging method for the specificity of the breast tissue. At the same time, the temperature is corrected by the difference of the magnetic susceptibility of water and fat. Finally, the temperature difference is used as the index to evaluate the temperature correction algorithm. Finally, the simulation results show that the proposed algorithm has the best comprehensive effect when the microwave ablation input power is 15W and the microwave ablation time is 300s for the thermal ablation model with two kinds of tissues including water and fat. The above results prove the correctness and feasibility of this algorithm, and it is suitable for any tissue containing water and fat.
【學(xué)位授予單位】:中國科學(xué)技術(shù)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:R737.9
本文編號:2164368
[Abstract]:Magnetic resonance guided microwave ablation is an important method of minimally invasive interventional therapy. Because of its advantages of less trauma and faster recovery, it is becoming an effective method for the treatment of breast cancer. In the minimally invasive interventional therapy, it is necessary to solve the problems of applying heat to the target tissue and monitoring the temperature of the operation site, so it is necessary to monitor the treatment process in real time, including the precise location and temperature monitoring of the target tissue. In order to improve the success rate of operation. In the course of microwave ablation of breast guided by magnetic resonance imaging, the accurate temperature of the ablated area can be calculated by thermography. Although there are many kinds of temperature imaging methods at home and abroad, because of the particularity of mammary tissue itself, the existing thermal imaging methods need to be improved. To eliminate the effect of a large amount of adipose tissue in breast tissue on the accuracy of temperature measurements: in tissues that contain both water and fat, The temperature measurement results of tissues containing water will be affected by the change of magnetic susceptibility of the surrounding adipose tissue caused by the temperature change, resulting in the temperature measurement error. Therefore, a new temperature measurement method or a temperature imaging optimization method is needed to reduce the influence of magnetic susceptibility on the accuracy of temperature measurement. In order to solve the above problems, a new optimization method of temperature imaging based on magnetic susceptibility variation is proposed in this paper. First, the temperature of the ablation area is calculated by using the most basic temperature imaging method, and then the temperature is calculated by using the water-lipid separation temperature imaging method for the specificity of the breast tissue. At the same time, the temperature is corrected by the difference of the magnetic susceptibility of water and fat. Finally, the temperature difference is used as the index to evaluate the temperature correction algorithm. Finally, the simulation results show that the proposed algorithm has the best comprehensive effect when the microwave ablation input power is 15W and the microwave ablation time is 300s for the thermal ablation model with two kinds of tissues including water and fat. The above results prove the correctness and feasibility of this algorithm, and it is suitable for any tissue containing water and fat.
【學(xué)位授予單位】:中國科學(xué)技術(shù)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:R737.9
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