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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:使用边界元法在三维图像引导近红外光谱中使用对比细节分析表征总血红蛋白恢复的准确性

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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:采用边界元法(BEM)对多模态图像引导近红外光谱(IG-NIRS)获得的总血红蛋白浓度(HbT)进行定量分析,进行三维图像重建。多模态IG-NIRS系统使用先验信息来指导重建过程。虽然这已被证明可以提高分辨率,但对定量准确性的影响尚不清楚。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,对于中等尺寸(100mm总直径为20mm)的球形夹杂物,HbT可以被回收,平均误差为15%,在背景和夹杂物之间对比度为2:1或更高的生理相关情况下。使用部分 3D 体积网格来减少图像重建的不良摆姿势性质,对于 1.5 或更高的对比度,可以精确量化小至 14 毫米的内含物,误差小于 15%。这表明,当肿瘤大于 30 毫米时,3D IG-NIRS 为接受新辅助化疗的患者在治疗周期早期看到的尺寸提供了定量准确的结果。

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