He Xueming, Fu Xiaping, Rao Xiuqin, Fu Feng
Appl Opt. 2017 Oct 10;56(29):8207-8215. doi: 10.1364/AO.56.008207.
Spatial frequency domain imaging (SFDI), as a rapid, noncontact, and scan-free method, can realize wide-field, quantitative optical property mapping and tomographic imaging for a biological sample. Phase-measuring profilometry (PMP) is a surface profile characterization method. Since the projection of structured light onto an object is the basis for PMP and SFDI, the SFDI system is capable of performing both techniques. In this work, we present the results of a feasibility study with the developed SFDI system to realize acquisition of the optical property information and the surface profile information. The surface profile information was used to correct the absorption (μ) maps and reduced scattering (μs') maps. The evaluation of correction effect of the PMP and the calibration and calculation of detection accuracy of the SFDI system were realized by using a series of self-made hemispheric and homogeneous solid phantoms covering a wide range of absorption and reduced scattering coefficients. The results show that the μ and μs' maps become more uniform after using profilometry correction. The maximum relative errors of the system after profilometry correction and calibration were 8.74% for μ and 4.97% for μs' at the wavelength of 527 nm, respectively. A case study was carried out on a pear to verify the application prospect of the method in the field of agricultural products quality inspection. Results indicate that μ and μs' maps of a pear after profilometry correction and calibration were more uniform and more comparable with the reported values.
空间频域成像(SFDI)作为一种快速、非接触且无需扫描的方法,能够实现生物样品的宽视野定量光学特性映射和断层成像。相位测量轮廓术(PMP)是一种表面轮廓表征方法。由于结构化光投射到物体上是PMP和SFDI的基础,因此SFDI系统能够执行这两种技术。在这项工作中,我们展示了使用所开发的SFDI系统进行可行性研究的结果,以实现光学特性信息和表面轮廓信息的采集。表面轮廓信息用于校正吸收(μ)图和约化散射(μs')图。通过使用一系列自制的半球形均匀固体模型,覆盖广泛的吸收系数和约化散射系数范围,实现了对PMP校正效果的评估以及SFDI系统检测精度的校准和计算。结果表明,使用轮廓术校正后,μ图和μs'图变得更加均匀。在校正和校准后,该系统在527 nm波长下的最大相对误差,对于μ为8.74%,对于μs'为4.97%。对一个梨进行了案例研究,以验证该方法在农产品质量检测领域的应用前景。结果表明,经过轮廓术校正和校准后,梨的μ图和μs'图更加均匀,并且与报道值更具可比性。