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10 July 2013 Adaptive row-action inverse solver for fast noise-robust three-dimensional reconstructions in bioluminescence tomography: theory and dual-modality optical/computed tomography in vivo studies
Ali Behrooz, Chaincy Kuo, Heng Xu, Brad W. Rice
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Journal of Biomedical Optics, Vol. 18, Issue 7, 076010 (July 2013). https://doi.org/10.1117/1.JBO.18.7.076010
Abstract
A novel approach is presented for obtaining fast robust three-dimensional (3-D) reconstructions of bioluminescent reporters buried deep inside animal subjects from multispectral images of surface bioluminescent photon densities. The proposed method iteratively acts upon the equations relating the multispectral data to the luminescent distribution with high computational efficiency to provide robust 3-D reconstructions. Unlike existing algebraic reconstruction techniques, the proposed method is designed to use adaptive projections that iteratively guide the updates to the solution with improved speed and robustness. Contrary to least-squares reconstruction methods, the proposed technique does not require parameter selection or optimization for optimal performance. Additionally, optimized schemes for thresholding, sampling, and ordering of the bioluminescence tomographic data used by the proposed method are presented. The performance of the proposed approach in reconstructing the shape, volume, flux, and depth of luminescent inclusions is evaluated in a multitude of phantom-based and dual-modality in vivo studies in which calibrated sources are implanted in animal subjects and imaged in a dual-modality optical/computed tomography platform. Statistical analysis of the errors in the depth and flux of the reconstructed inclusions and the convergence time of the proposed method is used to demonstrate its unbiased performance, low error variance, and computational efficiency.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
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Ali Behrooz, Chaincy Kuo, Heng Xu, and Brad W. Rice "Adaptive row-action inverse solver for fast noise-robust three-dimensional reconstructions in bioluminescence tomography: theory and dual-modality optical/computed tomography in vivo studies," Journal of Biomedical Optics 18(7), 076010 (10 July 2013). https://doi.org/10.1117/1.JBO.18.7.076010
Published: 10 July 2013
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Cited by 15 scholarly publications.
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KEYWORDS
Reconstruction algorithms
Zinc
Copper
In vivo imaging
Bioluminescence
Error analysis
3D image processing
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