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This paper develops a hybrid-size meshing scheme for target-dependent imagingin Chemical Species Tomography (CST). The traditional implementation of CSTgenerally places the target field in the central region of laser sensing, theso-called Region of Interest (RoI), with uniform-size meshes. The centre of theRoI locates at the midpoint between the laser emitters and receivers, while thesize of the RoI is empirically determined by the optical layout. A too smallRoI cannot make the most use of laser beams, while a too large one leads tomuch severer rank deficiency in CST. To solve the above-mentioned issues, weintroduce hybrid-size meshing, for the first time, by reforming the density ofthe pixels in the entire sensing region of CST. This development alleviates theill-posedness of the CST inverse problem by detailing the target flow fieldwith dense pixels in the RoI and fully considering the complete physicalabsorption model with sparse pixels out of the RoI. The proposed scheme wasboth numerically and experimentally validated using a CST sensor with 32 laserbeams using a variety of computational tomographic algorithms. The imagesreconstructed using the hybrid-size meshing scheme show better accuracy andfiner profile of the target flow, compared with those reconstructed using thetraditionally uniform-size meshing. The proposed hybrid-size meshing schemesignificantly facilitates the industrial application of CST towards practicalcombustors, in which the combustion zone is bypassed by cooling air. In thesescenarios, the proposed scheme can better characterise the combustion zone withdense meshes, while maintaining the integrity of the physical model byconsidering the absorption in the bypass air with sparse meshes.

Target-Dependent Chemical Species Tomography with Hybrid Meshing of Sensing Regions