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近红外断层扫描的定量分析:对组织模拟预校准体模的敏感性

Quantitative analysis of near-infrared tomography: sensitivity to the tissue-simulating precalibration phantom.

作者信息

Jiang Shudong, Pogue Brian W, McBride Troy O, Paulsen Keith D

机构信息

Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, USA.

出版信息

J Biomed Opt. 2003 Apr;8(2):308-15. doi: 10.1117/1.1559692.

Abstract

A near-infrared (NIR) imaging system is evaluated as a diagnostic clinical tool to image total hemoglobin concentration and oxygen saturation within tissue. Calibration of this type of system requires measurement of the response at each detector and source location from a homogeneous tissue-simulating phantom. The effect of using calibration phantoms of varying composition, size, and optical properties is examined to determine how it affects the overall image accuracy. All of the calibration phantoms investigated result in accurate reconstruction of absorbing heterogeneities due to increased blood concentration with less than 4% standard deviation. Images from a patient with a biopsy-confirmed ductal carcinoma are also evaluated and found to be insensitive to the choice of calibration object, with only 1% variation between images generated with different calibration objects. The tumor total hemoglobin contrast is approximately 240% higher than the average total hemoglobin concentration in contralateral breast. Soft calibration phantoms, which mimic the elastic properties of human breast tissue, are also considered and found to diminish positioning errors in the fibers relative to the actual breast exam, thereby reducing the artifacts in the periphery of the reconstructed image.

摘要

一种近红外(NIR)成像系统被评估为一种诊断临床工具,用于对组织内的总血红蛋白浓度和氧饱和度进行成像。这种类型的系统校准需要从均匀的组织模拟体模测量每个探测器和光源位置的响应。研究了使用不同成分、尺寸和光学特性的校准体模的效果,以确定其如何影响整体图像准确性。所有研究的校准体模都能准确重建由于血液浓度增加导致的吸收不均匀性,标准偏差小于4%。还对一名经活检证实为导管癌患者的图像进行了评估,发现其对校准对象的选择不敏感,不同校准对象生成的图像之间只有1%的差异。肿瘤总血红蛋白对比度比患侧乳房的平均总血红蛋白浓度高约240%。还考虑了模拟人体乳房组织弹性特性的软校准体模,发现其减少了纤维相对于实际乳房检查的定位误差,从而减少了重建图像周边的伪影。

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