Application of a maximum likelihood estimator in an experimental study in ultrasonic diffraction tomography

Author

Tsihrintzis, George A. ; Devaney, Anthony J.

Author_Institution

Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

12

Issue

3

fYear

1993

fDate

9/1/1993 12:00:00 AM

Firstpage

545

Lastpage

554

Abstract

A recently proposed approach to the inverse problem of detecting the presence and estimating the location of a known object from data collected in a set of diffraction tomographic experiments is evaluated. Experimental data are used to validate of the filtered backpropagation algorithms used, and their robustness to modeling errors and to severe limitations in the angular coverage of the tomographic data is demonstrated. A potential application to medical imaging of soft tissue is illustrated

Keywords

acoustic imaging; biomedical ultrasonics; computerised tomography; inverse problems; diagnostic imaging; filtered backpropagation algorithms; inverse problem; maximum likelihood estimator; medical soft tissue imaging; modeling errors; tomographic data angular coverage; ultrasonic diffraction tomography; Backpropagation algorithms; Biological tissues; Biomedical imaging; Diffraction; Inverse problems; Maximum likelihood detection; Maximum likelihood estimation; Object detection; Robustness; Tomography;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.241882

Filename

241882