Abstract
Ultrasound-guided diffuse optical tomography (DOT) is very favorable and promising imaging technique for the early detection of breast cancer. The technique uses a hand-held probe capable of providing multiple wavelengths measurements in few seconds. These measurements are used to estimate optical proprieties of lesions inside tissue, and calculate the total hemoglobin concentration (tHb). The accurate recovery of breast lesion optical properties requires an effective image reconstruction method. Errors in the measurements caused by low signal-to-noise ratio data and/or movements during data acquisition would reduce the accuracy of reconstructed optical properties. Here is an attempt to preprocess the data based on multiple wavelength measurements for image reconstruction. This approach combines data collected from multiple sets of lesion measurements of different wavelengths to detect and correct outliers in the perturbation. The initial results obtained from the phantom experiments are promising. The approach has enhanced the consistency of the reconstructed images among multiple wavelengths.