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29 July 2015 Contrast improvement of continuous wave diffuse optical tomography reconstruction by hybrid approach using least square and genetic algorithm
Rusha Patra, Pranab K. Dutta
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Journal of Biomedical Optics, Vol. 20, Issue 7, 075009 (July 2015). https://doi.org/10.1117/1.JBO.20.7.075009
Abstract
Reconstruction of the absorption coefficient of tissue with good contrast is of key importance in functional diffuse optical imaging. A hybrid approach using model-based iterative image reconstruction and a genetic algorithm is proposed to enhance the contrast of the reconstructed image. The proposed method yields an observed contrast of 98.4%, mean square error of 0.638×10−3, and object centroid error of (0.001 to 0.22) mm. Experimental validation of the proposed method has also been provided with tissue-like phantoms which shows a significant improvement in image quality and thus establishes the potential of the method for functional diffuse optical tomography reconstruction with continuous wave setup. A case study of finger joint imaging is illustrated as well to show the prospect of the proposed method in clinical diagnosis. The method can also be applied to the concentration measurement of a region of interest in a turbid medium.
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Rusha Patra and Pranab K. Dutta "Contrast improvement of continuous wave diffuse optical tomography reconstruction by hybrid approach using least square and genetic algorithm," Journal of Biomedical Optics 20(7), 075009 (29 July 2015). https://doi.org/10.1117/1.JBO.20.7.075009
Published: 29 July 2015
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Cited by 4 scholarly publications.
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KEYWORDS
Absorption
Reconstruction algorithms
Scattering
Diffuse optical tomography
Sensors
Tissue optics
Genetic algorithms
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