Key result
A novel finite-element based Young's modulus reconstruction algorithm that relaxes force boundary condition requirements was validated using numerical simulations.
A novel finite-element based algorithm for Young's modulus reconstruction relaxes force boundary condition requirements, potentially improving soft-tissue modulus imaging.
May support modulus imaging advances; leaves open in vivo validation before clinical use.
Modulus imaging has great potential in soft-tissue characterization since it reveals intrinsic mechanical properties. A novel Young's modulus reconstruction algorithm that is based on finite-element analysis is reported here. This new method overcomes some limitations in other Young's modulus reconstruction methods. Specifically, it relaxes the force boundary condition requirements so that only the force distribution at the compression surface is necessary, thus making the new method more practical. The validity of the new method is demonstrated and the performance of the algorithm with noise in the input data is tested using numerical simulations. Details of how to apply this method under clinical conditions is also discussed.
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Zhu et al. (2003) studied Soft-tissue characterization. Young's modulus reconstruction algorithm based on finite-element analysis was evaluated on Algorithm validity and performance with noise. A novel finite-element based Young's modulus reconstruction algorithm that relaxes force boundary condition requirements was validated using numerical simulations.
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