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Characterizing accuracy of total hemoglobin recovery using contrast-detail analysis in 3D image-guided near infrared spectroscopy with the boundary element method

机译:使用边界元方法在3D图像引导的近红外光谱中使用对比度细节分析来表征总血红蛋白回收的准确性

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摘要

The quantification of total hemoglobin concentration (HbT) obtained from multi-modality image-guided near infrared spectroscopy (IG-NIRS) was characterized using the boundary element method (BEM) for 3D image reconstruction. Multi-modality IG-NIRS systems use a priori information to guide the reconstruction process. While this has been shown to improve resolution, the effect on quantitative accuracy is unclear. Here, through systematic contrast-detail analysis, the fidelity of IG-NIRS in quantifying HbT was examined using 3D simulations. These simulations show that HbT could be recovered for medium sized (20mm in 100mm total diameter) spherical inclusions with an average error of 15%, for the physiologically relevant situation of 2:1 or higher contrast between background and inclusion. Using partial 3D volume meshes to reduce the ill-posed nature of the image reconstruction, inclusions as small as 14mm could be accurately quantified with less than 15% error, for contrasts of 1.5 or higher. This suggests that 3D IG-NIRS provides quantitatively accurate results for sizes seen early in treatment cycle of patients undergoing neoadjuvant chemotherapy when the tumors are larger than 30mm.
机译:使用边界元方法(BEM)进行3D图像重建,表征从多模式图像引导的近红外光谱(IG-NIRS)获得的总血红蛋白浓度(HbT)的定量。 IG-NIRS多模态系统使用先验信息来指导重建过程。尽管已证明可以提高分离度,但对定量精度的影响尚不清楚。在这里,通过系统的对比细节分析,使用3D模拟检查了IG-NIRS在定量HbT中的保真度。这些模拟表明,对于生理上相关的情况(背景与夹杂物之间的对比度为2:1或更高),中等尺寸(总直径100mm中的20mm)球形夹杂物可以回收HbT,平均误差为15%。使用部分3D体积网格来减少图像重建的不适定性,对于1.5或更高的对比度,可以精确地量化小至14mm的夹杂物,且误差小于15%。这表明当肿瘤大于30mm时,对于接受新辅助化疗的患者在治疗周期的早期观察到的大小,3D IG-NIRS可提供定量准确的结果。

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