Computational image reconstruction for multi-frequency diffuse optical tomography

Soft Tissue Image Reconstruction Using Diffuse Optical Tomography

“…A variety of practical reconstruction algorithms have been developed in tomography to implement the process of reconstructing a 3D object from a projection [16]. These algorithms are mainly based on the mathematics of statistical knowledge of the data acquisition process and the geometry of the data imaging system [17].…”

“…Input: set the initial guess μ s 0 ; Regularization parameters α > 0, β > 0; d 0 ¼ b 0 d ¼ 0 and margins of error ε. 17) to be acquired μ k s ;…”

Multi-modulated frequency domain high density diffuse optical tomography

“…They used 15 combinations of frequencies and found that the best imaging performance was from the combination of all four modulation frequencies. Then in 2021, Mudeng et al [ 22 ] and Shifa et al [ 23 ] also simulated HD-DOT on a 2D circular model, using 3 frequencies, 100 MHz, 150 MHz and 200 MHz and found that mFD measurements of 100 MHz + 150 MHz and 100 MHz + 150 MHz + 200 MHz performed similarly to that of 200 MHz alone. Shifa et al used frequencies between 100 MHz to 1000 MHz, however they only analysed up to 700 MHz.…”

“…Three modulation frequencies will be used of 78.125 (78) MHz, 140.625 (141) MHz and 203.125 (203) MHz, which are the same as the simulated mFD-HD-DOT evaluation as seen in Perkins et al [ 24 ] . The use of 3 frequencies is more than sufficient to observe the benefits of mFD and the difference between the 3 frequencies is such that there is a sufficient difference in data between the frequencies (Intes et al [ 17 ], Burcin Unlu et al [ 18 ], Chen et al [ 21 ] and Mudeng et al [ 22 ] .).…”