Spiral MRI reconstruction using least square quantization table

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

doi:10.1007/978-3-540-79490-5_35

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 proceeding › Conference 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 language	English (US)
Title of host publication	Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers
Pages	287-293
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-540-79490-5_35
State	Published - 2008
Externally published	Yes
Event	2nd International Conference on Medical Imaging and Informatics, MIMI 2007 - Beijing, China Duration: Aug 14 2007 → Aug 16 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4987 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Conference on Medical Imaging and Informatics, MIMI 2007
Country/Territory	China
City	Beijing
Period	8/14/07 → 8/16/07

Keywords

Adaptability
Image reconstruction
Least square quantization table
Reusability
Spiral trajectory

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-79490-5_35

Cite this

Liang, D., Lam, E. Y., Fung, G. S. K., & Zhang, X. (2008). Spiral MRI reconstruction using least square quantization table. In Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers (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. et al.
Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers. 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 proceeding › Conference contribution

Liang, D, Lam, EY, Fung, GSK & Zhang, X 2008, Spiral MRI reconstruction using least square quantization table. in Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers. 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 Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers. 2008. p. 287-293. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-79490-5_35

Liang, Dong ; Lam, Edmund Y. ; Fung, George S.K. et al. / Spiral MRI reconstruction using least square quantization table. Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers. 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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title = "Spiral MRI reconstruction using least square quantization table",

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.",

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Spiral MRI reconstruction using least square quantization table

Abstract

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Keywords

ASJC Scopus subject areas

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