In CB-XLCT imaging, when nanophosphors are delivered to tumor tissues,irradiated by X-rays, luminescent light with wavelength range of 500-700 nm will be exciteddetected by optical camera from different directions. After reconstruction, it can provide tumor locations. The micro-CT subsystem also provide X-rays to excite nanoparticles for luminescence tomography.

We invented a non-destructive terahertz (THz) deep-learning computed tomography system based on time-domain spectroscopy. In the method, THz time-domain signals are profiled. Multiple features are retrieved from those profiles by a trained modeltransformed to the spatial domain to reconstruct a cross-sectional tomographic image. We have also invented a 3D THz tomographic system based on multi-scale spatio-spectral feature fusion in a multi-scale manner. We believe our work will stimulate further applicable research of THz tomographic imaging with advanced computer vision techniques.

Our solution is able to noninvasively reconstruct 3D skin microstructuremicroangiography with micrometer-scale resolutions for diagnoses of skin disorders. Moreover, various skin parameters can be quantitatively evaluated from 3D images according to the proposed algorithms, including the thickness of stratum corneum, the thickness of epidermis, water concentration, collagen concentration,skin roughness. The developed technique can be applied to different clinical environments including hospitalscosmetic clinics for diagnosesanalyses of skin.