We report a quantitative tissue imagining method that combines spatial frequency domain imaging (SFDI) and near-infrared spectroscopy (NIRS) by using an illumination of multiple scanned lines. SFDI is suitable for measuring superficial and shallow tissues (<a few mm) with sinusoidal or stripe illuminations while NIRS, that measures the points apart from a point illumination, is for deeper tissues (a few to tens mm). Our scheme performs these methods by one measurement and provide depth-dependent reflectance images for shallow and deep tissues. At every pixel, a series of the pixel values for all scanning steps is processed in two different ways: SFDI by fast Fourier transform and NIRS by finding the minimum value. We assembled a prototype system and measured a phantom and a human arm. The line pitch and wavelength were 10mm and 785nm, respectively. We obtained reflectance images from the 32 captured images using the SFDI processing for 0-0.4mm-1 and the NIRS processing for the line pitches of 0.625- 10mm. The images by SFDI for higher spatial frequencies depicted the shallower blood vessels. In those by NIRS, the contrast of the deeper blood vessels was enhanced for the larger line pitches.
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