Background field removal by solving the Laplacian boundary value problem.

TitleBackground field removal by solving the Laplacian boundary value problem.
Publication TypeJournal Article
Year of Publication2014
AuthorsZhou D, Liu T, Spincemaille P, Wang Y
JournalNMR Biomed
Volume27
Issue3
Pagination312-9
Date Published2014 Mar
ISSN1099-1492
KeywordsAlgorithms, Humans, Magnetic Fields, Magnetic Resonance Imaging, Phantoms, Imaging
Abstract

The removal of the background magnetic field is a critical step in generating phase images and quantitative susceptibility maps, which have recently been receiving increasing attention. Although it is known that the background field satisfies Laplace's equation, the boundary values of the background field for the region of interest have not been explicitly addressed in the existing methods, and they are not directly available from MRI measurements. In this paper, we assume simple boundary conditions and remove the background field by explicitly solving the boundary value problems of Laplace's or Poisson's equation. The proposed Laplacian boundary value (LBV) method for background field removal retains data near the boundary and is computationally efficient. Tests on a numerical phantom and an experimental phantom showed that LBV was more accurate than two existing methods.

DOI10.1002/nbm.3064
Alternate JournalNMR Biomed
PubMed ID24395595
Grant ListR01EB013443 / EB / NIBIB NIH HHS / United States
R01NS072370 / NS / NINDS NIH HHS / United States
R21CA152275 / CA / NCI NIH HHS / United States
R21DK090690 / DK / NIDDK NIH HHS / United States
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065