Spiral MRI reconstruction using least square quantization table

Dong Liang, Edmund Y. Lam, George S K Fung, Xin Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, the authors introduced least square quantization table (LSQT) method to accelerate the direct Fourier transform to reconstruct magnetic resonance images acquired using a spiral trajectory. In this paper, we will discuss the LSQT further in its adaptability, reusability and choice of the number of groups. The experimental results show that the LSQT method has better adaptability for the different reconstruction cases than the equal phase line (EPL) and Kaiser-Bessel gridding methods. Additionally, it can be reused for reconstructing different images of varied sizes.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages287-293
Number of pages7
Volume4987 LNCS
DOIs
StatePublished - 2008
Externally publishedYes
Event2nd International Conference on Medical Imaging and Informatics, MIMI 2007 - Beijing, China
Duration: Aug 14 2007Aug 16 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4987 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Medical Imaging and Informatics, MIMI 2007
CountryChina
CityBeijing
Period8/14/078/16/07

Fingerprint

Reusability
Magnetic resonance
Least-Squares Analysis
Magnetic resonance imaging
Least Squares
Quantization
Table
Fourier transforms
Trajectories
Adaptability
Magnetic Resonance Image
Friedrich Wilhelm Bessel
Fourier Analysis
Accelerate
Fourier transform
Magnetic Resonance Spectroscopy
Trajectory
Line
Experimental Results

Keywords

  • Adaptability
  • Image reconstruction
  • Least square quantization table
  • Reusability
  • Spiral trajectory

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Liang, D., Lam, E. Y., Fung, G. S. K., & Zhang, X. (2008). Spiral MRI reconstruction using least square quantization table. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4987 LNCS, pp. 287-293). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4987 LNCS). https://doi.org/10.1007/978-3-540-79490-5_35

Spiral MRI reconstruction using least square quantization table. / Liang, Dong; Lam, Edmund Y.; Fung, George S K; Zhang, Xin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4987 LNCS 2008. p. 287-293 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4987 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liang, D, Lam, EY, Fung, GSK & Zhang, X 2008, Spiral MRI reconstruction using least square quantization table. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4987 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4987 LNCS, pp. 287-293, 2nd International Conference on Medical Imaging and Informatics, MIMI 2007, Beijing, China, 8/14/07. https://doi.org/10.1007/978-3-540-79490-5_35
Liang D, Lam EY, Fung GSK, Zhang X. Spiral MRI reconstruction using least square quantization table. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4987 LNCS. 2008. p. 287-293. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-79490-5_35
Liang, Dong ; Lam, Edmund Y. ; Fung, George S K ; Zhang, Xin. / Spiral MRI reconstruction using least square quantization table. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4987 LNCS 2008. pp. 287-293 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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