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ULTRASOUND-TARGET-SHAPE-GUIDED SPARSE REGULARIZATION TO IMPROVE ACCURACY OF DIFFUSED OPTICAL TOMOGRAPHY
ULTRASOUND-TARGET-SHAPE-GUIDED SPARSE REGULARIZATION TO IMPROVE ACCURACY OF DIFFUSED OPTICAL TOMOGRAPHY
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机译：超音速形状引导的稀疏调节可提高扩散光学X线摄影的准确性
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摘要
A diffuse optical tomography (DOT) system for generating a functional image of a lesion region of a subject includes a source subsystem configured to generate optical waves, a probe coupled to the source subsystem and configured to emit the optical waves generated by the source subsystem toward the lesion region and to detect optical waves reflected by the lesion region, a detection subsystem configured to convert the optical waves detected by the probe to digital signals, and a computing device including a processor and a memory. The memory includes instructions that program the processor to receive the digital signals sent from the detection subsystem, calculate an initial estimate of the functional image by solving an inverse optimization problem with a shape-regularized Fast Iterative Shrinkage-Thresholding algorithm (FISTA), reconstruct the functional image iteratively using a Finite Difference Method (FDM) or a Finite Element Method (FEM), and display the functional image.
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