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Double-Excitation Fluorescence Spectral Imaging: Eliminating tissue auto-fluorescence from in vivo PPIX measurements

机译:双重激发荧光光谱成像:从体内PPIX测量中消除组织自发荧光

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An ultrasound coupled handheld-probe-based optical fluorescence molecular tomography (FMT) system has been in development for the purpose of quantifying the production of Protoporphyrin DC (PPIX) in aminolevulinic acid treated (ALA), Basal Cell Carcinoma (BCC) in vivo. The design couples fiber-based spectral sampling of PPIX fluorescence emission with a high frequency ultrasound imaging system, allowing regionally localized fluorescence intensities to be quantified [1]. The optical data are obtained by sequential excitation of the tissue with a 633nm laser, at four source locations and five parallel detections at each of the five interspersed detection locations. This method of acquisition permits fluorescence detection for both superficial and deep locations in ultrasound field. The optical boundary data, tissue layers segmented from ultrasound image and diffusion theory are used to estimate the fluorescence in tissue layers. To improve the recovery of the fluorescence signal of PPIX, eliminating tissue auto-fluorescence is of great importance. Here the approach was to utilize measurements which straddled the steep Q-band excitation peak of PPIX, via the integration of an additional laser source, exciting at 637 nm; a wavelength with a 2 fold lower PPIX excitation value than 633nm.The auto-fluorescence spectrum acquired from the 637 nm laser is then used to spectrally decouple the fluorescence data and produce an accurate fluorescence emission signal, because the two wavelengths have very similar auto-fluorescence but substantially different PPIX excitation levels. The accuracy of this method, using a single source detector pair setup, is verified through animal tumor model experiments, and the result is compared to different methods of fluorescence signal recovery.
机译:超声耦合的基于手持探头的光学荧光分子层析成像(FMT)系统已在开发中,目的是定量在体内经氨基乙酰丙酸治疗(ALA),基底细胞癌(BCC)的原卟啉DC(PPIX)的产生。该设计将基于纤维的PPIX荧光发射光谱采样与高频超声成像系统结合在一起,可以量化局部荧光强度[1]。光学数据是通过使用633nm激光在四个光源位置处连续激发组织,并在五个散布的检测位置中的每个位置处进行五个平行检测而获得的。这种采集方法允许对超声场中的浅层和深层位置进行荧光检测。光学边界数据,从超声图像分割的组织层和扩散理论用于估计组织层中的荧光。为了改善PPIX荧光信号的恢复,消除组织自发荧光非常重要。这里的方法是利用测量值,该测量值通过附加的激光源(在637 nm处激发)跨越PPIX陡峭的Q波段激发峰。 PPIX激发值比633nm低2倍的波长。然后,从637 nm激光器获得的自发荧光光谱用于光谱解耦荧光数据并产生准确的荧光发射信号,因为这两个波长具有非常相似的自发荧光。荧光,但PPIX激发水平却大不相同。通过动物肿瘤模型实验验证了使用单源检测器对设置方法的准确性,并将结果与​​不同的荧光信号恢复方法进行了比较。

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