DocumentCode :
1219409
Title :
Estimation of shear modulus distribution in soft tissue from strain distribution
Author :
Sumi, Chikayoshi ; Suzuki, Akifumi ; Nakayama, Kiyoshi
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
Volume :
42
Issue :
2
fYear :
1995
Firstpage :
193
Lastpage :
202
Abstract :
In order to obtain noninvasively quantitative static mechanical properties of living tissue, the authors propose a new type of inverse problem by which the spatial distribution of the relative elastic modulus of the tissue can be estimated only from the deformation or strain measurement. The living tissue is modeled as a linear isotropic incompressible elastic medium which has the spatial distribution of the shear modulus, and the deformation or strain is supposedly measured ultrasonically. Assuming that there is no mechanical source in the region of interest, the authors derive a set of linear equations in which unknowns are the spatial derivatives of the relative shear modulus, and the coefficients are the strain and its spatial derivatives. By solving these equations, the spatial derivatives of the relative shear modulus are determined throughout the region, from which the spatial distribution of the relative shear modulus is obtained by spatial integration. The feasibility of this method was demonstrated using the simulated deformation data of the simple inclusion problem. The proposed method seems promising for the quantitative differential diagnosis on the lesion in the tissue in vivo.
Keywords :
biomechanics; inverse problems; physiological models; shear modulus; linear equations set; linear isotropic incompressible elastic medium; living tissue; quantitative differential diagnosis; quantitative static mechanical properties; relative elastic modulus; shear modulus distribution estimation; simple inclusion problem; soft tissue; spatial integration; strain distribution; tissue lesion; Biological tissues; Capacitive sensors; Deformable models; Equations; In vivo; Inverse problems; Lesions; Mechanical factors; Strain measurement; Ultrasonic variables measurement; Algorithms; Biomechanics; Diagnosis, Computer-Assisted; Elasticity; Electric Conductivity; Electromagnetic Fields; Feasibility Studies; Humans; Image Processing, Computer-Assisted; Linear Models; Models, Biological; Stress, Mechanical;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.341832
Filename :
341832
Link To Document :
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