English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Ultrasound poroelastography is a cost-effective non-invasive imagingtechnique, which is able to reconstruct several mechanical parameters of cancerand normal tissue such as Young's modulus, Poisson's ratio, interstitialpermeability and vascular permeability. To estimate the permeabilities,estimation of the strain time constant (TC) is required, which is a challengingtask because of non-linearity of the exponential strain curve and noise presentin the experimental data. Moreover, noise in many strain frames becomes veryhigh because of motion artifacts from the sonographer, animal/patient and/orthe environment. Therefore, using these frames in computation of strain TC canlead to inaccurate estimates of the mechanical parameters. In this letter, weintroduce a cubic spline based interpolation method, which uses only the goodframes (frame of high SNR) to reconstruct the information of the bad frames(frames of low SNR) and estimate the strain TC. We prove with finite elementsimulation that the proposed reconstruction method can improve the estimationaccuracy of the strain TC by 46% in comparison to the estimates from noisydata, and 37% in comparison to the estimates from Kalman filtered data at anSNR of 30dB. Based on the high accuracy of the proposed method in estimatingstrain TC from poroelastography data, the proposed method can be preferredtechnique by the clinicians and researchers interested in non-invasive imagingof tissue mechanical parameters.

A spline interpolation based data reconstruction technique for estimation of strain time constant in ultrasound poroelastography