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Author: Kazuaki Nakane

Affiliation: Osaka University Graduate School of Medicine, Japan

Abstract: Palpation is a standard medical method to detect of abnormalities of the human body, because a pathological state of soft tissues is often correlated with changes in stiffness. However, a pathological lesion may be undetectable by palpation if it is located deep in the body or if it is too small. Recently, new technics are developing to identify stiffness (Young’s modulus). The observed data contain noise, it prevent to substitute the data for the mathematical model equation of the human body. Because the model equation includes the second differential terms. “Numerical differentiation” is a numerical method to determine the derivatives of an unknown function from the given noisy values of the unknown function at the scattered points. In this talk, we will apply this method to the noisy data, and introduce numerical results.

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Paper citation in several formats:
Nakane, K. (2008). Numerical Computation for MRE (Magnetic Resonance Elasticity) by Applying Numerical Differentiation Method. In Proceedings of the 2nd International Workshop on e-Health Services and Technologies (ICSOFT 2008) - EHST; ISBN 978-989-8111-56-2, SciTePress, pages 73-77. DOI: 10.5220/0001896600730077

@conference{ehst08,
author={Kazuaki Nakane.},
title={Numerical Computation for MRE (Magnetic Resonance Elasticity) by Applying Numerical Differentiation Method},
booktitle={Proceedings of the 2nd International Workshop on e-Health Services and Technologies (ICSOFT 2008) - EHST},
year={2008},
pages={73-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001896600730077},
isbn={978-989-8111-56-2},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on e-Health Services and Technologies (ICSOFT 2008) - EHST
TI - Numerical Computation for MRE (Magnetic Resonance Elasticity) by Applying Numerical Differentiation Method
SN - 978-989-8111-56-2
AU - Nakane, K.
PY - 2008
SP - 73
EP - 77
DO - 10.5220/0001896600730077
PB - SciTePress