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