2019/04/15 by Tauhidul Islam, Islam, Md Tauhidul, Raffaella Righetti +2
Computer Science · Engineering · Medicine · #FOS: Electrical engineering #Optical measurement and interference techniques #Photoacoustic and Ultrasonic Imaging #Signal Processing (eess.SP) #Ultrasound Imaging and Elastography #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1904.07376
openalex publication_date 2019/04/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Ultrasound poroelastography is a cost-effective non-invasive imaging\ntechnique, which is able to reconstruct several mechanical parameters of cancer\nand normal tissue such as Young's modulus, Poisson's ratio, interstitial\npermeability and vascular permeability. To estimate the permeabilities,\nestimation of the strain time constant (TC) is required, which is a challenging\ntask because of non-linearity of the exponential strain curve and noise present\nin the experimental data. Moreover, noise in many strain frames becomes very\nhigh because of motion artifacts from the sonographer, animal/patient and/or\nthe environment. Therefore, using these frames in computation of strain TC can\nlead to inaccurate estimates of the mechanical parameters. In this letter, we\nintroduce a cubic spline based interpolation method, which uses only the good\nframes (frame of high SNR) to reconstruct the information of the bad frames\n(frames of low SNR) and estimate the strain TC. We prove with finite element\nsimulation that the proposed reconstruction method can improve the estimation\naccuracy of the strain TC by 46% in comparison to the estimates from noisy\ndata, and 37% in comparison to the estimates from Kalman filtered data at an\nSNR of 30dB. Based on the high accuracy of the proposed method in estimating\nstrain TC from poroelastography data, the proposed method can be preferred\ntechnique by the clinicians and researchers interested in non-invasive imaging\nof tissue mechanical parameters.\n