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Title: Algorithms for biomagnetic source imaging with prior anatomical and physiological information

Abstract

This dissertation derives a new method for estimating current source amplitudes in the brain and heart from external magnetic field measurements and prior knowledge about the probable source positions and amplitudes. The minimum mean square error estimator for the linear inverse problem with statistical prior information was derived and is called the optimal constrained linear inverse method (OCLIM). OCLIM includes as special cases the Shim-Cho weighted pseudoinverse and Wiener estimators but allows more general priors and thus reduces the reconstruction error. Efficient algorithms were developed to compute the OCLIM estimate for instantaneous or time series data. The method was tested in a simulated neuromagnetic imaging problem with five simultaneously active sources on a grid of 387 possible source locations; all five sources were resolved, even though the true sources were not exactly at the modeled source positions and the true source statistics differed from the assumed statistics.

Authors:
 [1]
  1. Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF)
OSTI Identifier:
195677
Report Number(s):
LBL-38115
ON: DE96005811; TRN: AHC29605%%53
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Thesis/Dissertation
Resource Relation:
Other Information: TH: Thesis (Ph.D.); PBD: Dec 1995
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 97 MATHEMATICS AND COMPUTING; IMAGE PROCESSING; ALGORITHMS; HEART; BRAIN; DATA; MAGNETIC FIELDS

Citation Formats

Hughett, Paul William. Algorithms for biomagnetic source imaging with prior anatomical and physiological information. United States: N. p., 1995. Web. doi:10.2172/195677.
Hughett, Paul William. Algorithms for biomagnetic source imaging with prior anatomical and physiological information. United States. https://doi.org/10.2172/195677
Hughett, Paul William. 1995. "Algorithms for biomagnetic source imaging with prior anatomical and physiological information". United States. https://doi.org/10.2172/195677. https://www.osti.gov/servlets/purl/195677.
@article{osti_195677,
title = {Algorithms for biomagnetic source imaging with prior anatomical and physiological information},
author = {Hughett, Paul William},
abstractNote = {This dissertation derives a new method for estimating current source amplitudes in the brain and heart from external magnetic field measurements and prior knowledge about the probable source positions and amplitudes. The minimum mean square error estimator for the linear inverse problem with statistical prior information was derived and is called the optimal constrained linear inverse method (OCLIM). OCLIM includes as special cases the Shim-Cho weighted pseudoinverse and Wiener estimators but allows more general priors and thus reduces the reconstruction error. Efficient algorithms were developed to compute the OCLIM estimate for instantaneous or time series data. The method was tested in a simulated neuromagnetic imaging problem with five simultaneously active sources on a grid of 387 possible source locations; all five sources were resolved, even though the true sources were not exactly at the modeled source positions and the true source statistics differed from the assumed statistics.},
doi = {10.2172/195677},
url = {https://www.osti.gov/biblio/195677}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 01 00:00:00 EST 1995},
month = {Fri Dec 01 00:00:00 EST 1995}
}

Thesis/Dissertation:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this thesis or dissertation.

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