Improving quantification of intravascular fluorescence imaging using structural information.
Improving quantification of intravascular fluorescence imaging using structural information.
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DOI：
10.1088/0031-9155/57/20/6395
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发表时间：
2012-10-21
影响因子：
3.5
通讯作者：
Ntziachristos V
中科院分区：
文献类型：
--
作者：
Mallas G;Brooks DH;Rosenthal A;Nudelman RN;Mauskapf A;Jaffer FA;Ntziachristos V
血管内近红外荧光（iNIRF）成像可以实现血管病理学生物标志物的体内可视化，包括高危斑块。该技术解决了血管壁中具有分子特异性的全身施用荧光探针的生物分布。然而，在纤维尖端和血管壁之间的距离中可能发生的几何变化可能导致信号强度变化和挑战量化。在此，我们研究了使用从共配准血管内超声（IVUS）获得的横截面血管形态的解剖信息是否可以在存在纤维尖端和血管壁距离变化时导致量化改善。所开发的算法采用源自体模实验的光子传播模型，该模型用于计算荧光信号在沿血管壁沿着360度收集时的相对衰减，并利用该模型恢复准确的荧光读数。本文的研究结果指出，当采用混合iNIRF时，定量改善，可能对高风险斑块或血管治疗诊断的临床检测产生影响。
Intravascular near-infrared fluorescence (iNIRF) imaging can enable the in vivo visualization of biomarkers of vascular pathology, including high-risk plaques. The technique resolves the bio-distribution of systemically administered fluorescent probes with molecular specificity in the vessel wall. However, the geometrical variations that may occur in the distance between fibre-tip and vessel wall can lead to signal intensity variations and challenge quantification. Herein we examined whether the use of anatomical information of the cross-section vessel morphology, obtained from co-registered intravascular ultrasound (IVUS), can lead to quantification improvements when fibre-tip and vessel wall distance variations are present. The algorithm developed employs a photon propagation model derived from phantom experiments that is used to calculate the relative attenuation of fluorescence signals as they are collected over 360 degrees along the vessel wall, and utilizes it to restore accurate fluorescence readings. The findings herein point to quantification improvements when employing hybrid iNIRF, with possible implications to the clinical detection of high-risk plaques or blood vessel theranostics.
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影响因子：
24
作者：
Jaffer, Farouc A.;Calfon, Marcella A.;Rosenthal, Amir;Mallas, Georgios;Razansky, R. Nika;Mauskapf, Adam;Weissleder, Ralph;Libby, Peter;Ntziachristos, Vasilis
通讯作者：
Ntziachristos, Vasilis
蛋白水解活性动脉粥样硬化中炎症的实时导管分子传感。
影响因子：
37.8
作者：
Jaffer FA;Vinegoni C;John MC;Aikawa E;Gold HK;Finn AV;Ntziachristos V;Libby P;Weissleder R
通讯作者：
Weissleder R
影响因子：
64.8
作者：
Sanz, Javier;Fayad, Zahi A.
通讯作者：
Fayad, Zahi A.
影响因子：
10.6
作者：
Schulz, Ralf B.;Ale, Angelique;Ntziachristos, Vasilis
通讯作者：
Ntziachristos, Vasilis
影响因子：
37.8
作者：
Chen IY;Wu JC
通讯作者：
Wu JC