TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. Local system matrix compression for efficient reconstruction in magnetic particle imaging
 
Options

Local system matrix compression for efficient reconstruction in magnetic particle imaging

Citation Link: https://doi.org/10.15480/882.2368
Publikationstyp
Journal Article
Date Issued
2015
Sprache
English
Author(s)
Knopp, Tobias  
Weber, Alexander  
Institut
Biomedizinische Bildgebung E-5  
TORE-DOI
10.15480/882.2368
TORE-URI
http://hdl.handle.net/11420/3092
Journal
Advances in mathematical physics  
Volume
2015
Start Page
1
End Page
7
Article Number
472818
Citation
Advances in Mathematical Physics (2015): 472818 (2015)
Publisher DOI
10.1155/2015/472818
Scopus ID
2-s2.0-84922369713
Publisher
Hindawi
Magnetic particle imaging (MPI) is a quantitative method for determining the spatial distribution of magnetic nanoparticles, which can be used as tracers for cardiovascular imaging. For reconstructing a spatial map of the particle distribution, the system matrix describing the magnetic particle imaging equation has to be known. Due to the complex dynamic behavior of the magnetic particles, the system matrix is commonly measured in a calibration procedure. In order to speed up the reconstruction process, recently, a matrix compression technique has been proposed that makes use of a basis transformation in order to compress the MPI system matrix. By thresholding the resulting matrix and storing the remaining entries in compressed row storage format, only a fraction of the data has to be processed when reconstructing the particle distribution. In the present work, it is shown that the image quality of the algorithm can be considerably improved by using a local threshold for each matrix row instead of a global threshold for the entire system matrix.
DDC Class
530: Physik
Lizenz
https://creativecommons.org/licenses/by/3.0/
Loading...
Thumbnail Image
Name

472818.pdf

Size

2.88 MB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback