Natalia Denisova 2004 Plasma Sources Sci. Technol. 13 531 doi:10.1088/0963-0252/13/3/020
Natalia Denisova
Show affiliationsComputed tomography is a powerful tool for plasma diagnostics. Unfortunately, viewing access in many plasma experiments is strongly limited, which leads to a highly underdetermined ill-posed problem. A maximum a posteriori (MAP) algorithm is a promising statistical approach to this problem. In this paper, we study the MAP algorithm which yields the most probable image estimate from limited and noisy data. An adaptive chi-square statistical criterion is proposed to control the quality of reconstruction. An improvement in reconstruction image quality over conventional tomographic methods, such as the algebraic reconstruction technique and maximum entropy algorithm, is illustrated by several numerical examples.
Issue 3 (August 2004)
Received 7 July 2004
Published 5 August 2004
Natalia Denisova 2004 Plasma Sources Sci. Technol. 13 531
A Eichler et al 1996 J. Phys.: Condens. Matter 8 7659
C Armendáriz-Picón and Vikram Duvvuri 2004 Class. Quantum Grav. 21 2011
V Voss 1930 J. Sci. Instrum. 7 389
Dhiraj Arora et al 2005 Phys. Med. Biol. 50 1919
Richard Davis 2003 Metrologia 40 299
R Davis and M Gläser 2003 Metrologia 40 339
L. Arzel et al 2003 Europhys. Lett. 61 653
Lorenzo Iorio 2003 Class. Quantum Grav. 20 L5
S.S. Yu et al 2007 Nucl. Fusion 47 721