Title :
Basic limitations of linear inverse solutions: a case study
Author :
Menendez, Rolando Grave de Peralta ; Andino, Sara L Gonzalez
Author_Institution :
Functional Brain Mapping Lab., Geneva Univ. Hosp., Switzerland
fDate :
29 Oct-1 Nov 1998
Abstract :
This paper enumerates and illustrates some limitations of distributed linear inverse solutions applied to the reconstruction of the sources of the brain electric activity. Selected computer simulated images illustrating these drawbacks for the case of the LORETA solution are presented. It is shown how limitations such as existence of spurious sources, the high level of blurring and the incorrect estimation of the source strength can distort the images reconstructed with linear solutions even for single sources and perfectly accurate data. The problem of why measures designed to evaluate the performance of dipole localization methods should not be applied to the evaluation of distributed solutions is discussed. Alternatives to extract useful information about brain functioning in spite of the limitations of these methods are mentioned
Keywords :
bioelectric potentials; brain; computerised tomography; image reconstruction; inverse problems; matrix algebra; medical image processing; EM tomography; LORETA solution; basic limitations; brain electric activity; computer simulated images; dipole localization methods; distributed linear inverse solutions; high level of blurring; image reconstruction; incorrect source strength estimation; inverse matrix; source reconstruction; spurious sources; Brain mapping; Brain modeling; Computational modeling; Computer aided software engineering; Computer simulation; Electrodes; Hospitals; Image reconstruction; Inverse problems; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747033