Abstract
Near-infrared diffuse optical tomography imaging (DOT) suffers from a poor depth resolution due to the depth sensitivity decreases markedly in tissues. In this paper, an intelligent method, which is called layered maximum-singular-values adjustment (LMA), is proposed to compensate the decrease of sensitivity in depth dimension, and hence obtain improved depth resolution of DOT imaging. Simulations are performed with a semi-infinite model, and the simulated results for objects located in different depths demonstrate that the LMA technique can improve significantly the depth resolution of reconstructed objects. The positional errors of less than 3 mm can be obtained in the depth dimension for all depths from -1 cm to -3 cm.
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Niu, HJ., Guo, P., Jiang, TZ. (2008). Improving Depth Resolution of Diffuse Optical Tomography with Intelligent Method. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_64
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DOI: https://doi.org/10.1007/978-3-540-87442-3_64
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