Undersampling the system matrix of a single sided MPI-scanner

Author

von Gladiss, Anselm ; Grafe, Ksenija ; Ahlborg, Mandy ; Buzug, Thorsten M.

Author_Institution

Inst. of Med. Eng., Univ. zu Lubeck, Lubeck, Germany

fYear

2015

fDate

26-28 March 2015

Firstpage

1

Lastpage

1

Abstract

Compressed sensing has been shown to be a useful method for reducing the acquisition time of a system matrix in Magnetic Particle Imaging (MPI). The system matrix is acquired by discretising the field of view (FOV) and performing a measurement on each of the resulting spatial points. The combination of the spectra of those measurements is the system matrix. Using methods of compressed sensing, the FOV can be undersampled by acquiring a subset of the spatial points and reconstructing the system matrix in a sparse domain. In the last years, the system matrix of a 2D MPI scanning device by Philips research has been exploited. In this work, proven methods have been applied on a new dataset that has been acquired using a 2D single sided MPI scanning device.

Keywords

biomedical MRI; compressed sensing; image coding; image reconstruction; image sampling; medical image processing; 2D MPI; FOV; compressed sensing; field-of-view; image reconstruction; magnetic particle imaging; single sided MPI scanner; system matrix undersampling; Compressed sensing; Frequency-domain analysis; Image reconstruction; Imaging; Magnetic field measurement; Magnetic particles; Sparse matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Magnetic Particle Imaging (IWMPI), 2015 5th International Workshop on

Conference_Location

Istanbul

Print_ISBN

978-1-4799-7269-2

Type

conf

DOI

10.1109/IWMPI.2015.7107021

Filename

7107021