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Mechanical and optical methods for b...

Wang, Zhiguo.

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Mechanical and optical methods for breast cancer imaging.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mechanical and optical methods for breast cancer imaging./
Author:	Wang, Zhiguo.
Description:	183 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-07, Section: B, page: 4119.
Contained By:	Dissertation Abstracts International71-07B.
Subject:	Health Sciences, Radiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3409480
ISBN:	9781124070087

Mechanical and optical methods for breast cancer imaging.
Wang, Zhiguo.

Mechanical and optical methods for breast cancer imaging. - 183 p.

Source: Dissertation Abstracts International, Volume: 71-07, Section: B, page: 4119.

Thesis (Ph.D.)--The University of Iowa, 2010.

It has been recognized that mechanical and optical properties of tissues can be the indicators to identify and characterize breast tumors. The objective of this study is to develop new mechanical and optical modalities for qualification of the elastic and optical properties of normal and cancerous breast tissues.

ISBN: 9781124070087Subjects--Topical Terms:

1019076
Health Sciences, Radiology.

Mechanical and optical methods for breast cancer imaging.
LDR:04122nam 2200385 4500 001 1393828
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008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124070087
035 $a (UMI)AAI3409480
035 $a AAI3409480
040 $a UMI $c UMI
100 1 $a Wang, Zhiguo. $3 1084930
245 1 0 $a Mechanical and optical methods for breast cancer imaging.
300 $a 183 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-07, Section: B, page: 4119.
500 $a Advisers: Lizhi Sun; Ge Wang.
502 $a Thesis (Ph.D.)--The University of Iowa, 2010.
520 $a It has been recognized that mechanical and optical properties of tissues can be the indicators to identify and characterize breast tumors. The objective of this study is to develop new mechanical and optical modalities for qualification of the elastic and optical properties of normal and cancerous breast tissues.
520 $a First, a mammography-based elastography (called elasto-mammography) is proposed to generate the elastogram of breast tissues based on conventional X-ray mammography. The displacement information is extracted from mammography projections before and after breast compression. With the incorporation of the displacement measurements, an elastography reconstruction algorithm is specially developed to estimate the elastic moduli of heterogeneous breast tissues. Case studies with numerical breast phantoms are conducted to demonstrate the capability of the proposed elasto-mammogrpahy. It is shown that the proposed methodology is stable and robust for characterization of the elastic moduli of breast tissues from the projective displacement measurement.
520 $a Second, a nonlinear elastogrpahy is proposed to extend breast material model to nonlinear cases. A three-dimensional (3D) model is developed for heterogeneous breast tissues extracting from real images including fatty tissue, glandular tissue, and tumors. An exponential-form of nonlinear material model is applied. Based on the finite-deformation constitutive law, discretized nonlinear equations are solved for displacement, strain, and stress fields in breast tissues with given tumors under external compression at breast boundaries. We develop a 3D inverse-problem algorithm to reconstruct the material parameters for nonlinear elastic constitutive relation of breast phantoms with tumors. For the first time, a nonlinear adjoint gradient method is introduced to improve the numerical efficiency and enhance the stability of elastogrpahy reconstruction.
520 $a Third, encouraged by the success of linear elasto-mammography and nonlinear elastography, a nonlinear elasto-mammography method is proposed. Mammography projections are taken before and after breast compression and displacement information is extracted for reconstruction of nonlinear breast tissue properties. Numerical phantom study is conducted and results show the proposed nonlinear elasto-mammography is potential to identify and characterize breast tumors in clinic.
520 $a Finally, we switch from mechanical to optical method for breast cancer imaging. We develop a finite-element-based algorithm to solve the inverse problem of frequent-domain diffusion equation. With the analytical form of gradients, the adjoint method is expanded to complex domain for the reconstruction of optical parameters in diffuse optical tomography. Specific numerical simulation is carried out and compared with phantom experiment. The results show that the adjoint-based algorithm is efficient and robust for reconstructing the optical parameters.
590 $a School code: 0096.
650 4 $a Health Sciences, Radiology. $3 1019076
650 4 $a Biophysics, Biomechanics. $3 1035342
690 $a 0574
690 $a 0648
710 2 $a The University of Iowa. $b Civil & Environmental Engineering. $3 1029880
773 0 $t Dissertation Abstracts International $g 71-07B.
790 1 0 $a Sun, Lizhi, $e advisor
790 1 0 $a Wang, Ge, $e advisor
790 1 0 $a Swan, Colby $e committee member
790 1 0 $a Bhatti, M. Asghar $e committee member
790 1 0 $a Xiao, Shaoping $e committee member
790 1 0 $a Fajardo, Laurie L. $e committee member
790 $a 0096
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3409480