Share Email Print
cover

Proceedings Paper

Globally convergent numerical method in diffusion tomography
Author(s): Michael V. Klibanov
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

We present a fundamentally novel mathematical algorithm for reconstruction of small inclusion hidden in the diffuse background. This is a numerical method with an a priori guaranteed global convergence. Our theory, which we call Carleman's Weight Method, assures that this technique should provide images with the finest possible resolution. Work on numerical testing is in progress. We also provide a brief historical survey for inverse versus forward problems.

Paper Details

Date Published: 9 October 1995
PDF: 13 pages
Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); doi: 10.1117/12.224151
Show Author Affiliations
Michael V. Klibanov, Univ. of North Carolina/Charlotte (United States)


Published in SPIE Proceedings Vol. 2570:
Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications
Randall Locke Barbour; Mark J. Carvlin; Michael A. Fiddy, Editor(s)

© SPIE. Terms of Use
Back to Top