Self-similarity of images in the Fourier domain, with applications to MRI

G. S. Mayer; Edward R. Vrscay; M. L. Lauzon; B. G. Goodyear; J. R. Mitchell

doi:10.1007/978-3-540-69812-8_5

Self-similarity of images in the Fourier domain, with applications to MRI

G. S. Mayer, Edward R. Vrscay, M. L. Lauzon, B. G. Goodyear, J. R. Mitchell

Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Results presented in this paper represent part of an ongoing research programme dedicated to the resolution enhancement of Fourier domain magnetic resonance (MR) data. Here we explore the use of self-similarity methods that may aid in frequency extrapolation of such data. To this end, we present analytical and empirical results demonstrating the self similarity of complex, Fourier domain MR data.

Original language	English (US)
Title of host publication	Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings
Pages	43-52
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-540-69812-8_5
State	Published - 2008
Event	5th International Conference on Image Analysis and Recognition, ICIAR 2008 - Povoa de Varzim, Portugal Duration: Jun 25 2008 → Jun 27 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5112 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Conference on Image Analysis and Recognition, ICIAR 2008
Country/Territory	Portugal
City	Povoa de Varzim
Period	6/25/08 → 6/27/08

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-69812-8_5

Cite this

Mayer, G. S., Vrscay, E. R., Lauzon, M. L., Goodyear, B. G., & Mitchell, J. R. (2008). Self-similarity of images in the Fourier domain, with applications to MRI. In Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings (pp. 43-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5112 LNCS). https://doi.org/10.1007/978-3-540-69812-8_5

Self-similarity of images in the Fourier domain, with applications to MRI. / Mayer, G. S.; Vrscay, Edward R.; Lauzon, M. L. et al.
Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings. 2008. p. 43-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5112 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mayer, GS, Vrscay, ER, Lauzon, ML, Goodyear, BG & Mitchell, JR 2008, Self-similarity of images in the Fourier domain, with applications to MRI. in Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5112 LNCS, pp. 43-52, 5th International Conference on Image Analysis and Recognition, ICIAR 2008, Povoa de Varzim, Portugal, 6/25/08. https://doi.org/10.1007/978-3-540-69812-8_5

Mayer GS, Vrscay ER, Lauzon ML, Goodyear BG, Mitchell JR. Self-similarity of images in the Fourier domain, with applications to MRI. In Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings. 2008. p. 43-52. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-69812-8_5

Mayer, G. S. ; Vrscay, Edward R. ; Lauzon, M. L. et al. / Self-similarity of images in the Fourier domain, with applications to MRI. Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings. 2008. pp. 43-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{31acc53ea325419594720cc131094403,

title = "Self-similarity of images in the Fourier domain, with applications to MRI",

abstract = "Results presented in this paper represent part of an ongoing research programme dedicated to the resolution enhancement of Fourier domain magnetic resonance (MR) data. Here we explore the use of self-similarity methods that may aid in frequency extrapolation of such data. To this end, we present analytical and empirical results demonstrating the self similarity of complex, Fourier domain MR data.",

author = "Mayer, {G. S.} and Vrscay, {Edward R.} and Lauzon, {M. L.} and Goodyear, {B. G.} and Mitchell, {J. R.}",

year = "2008",

doi = "10.1007/978-3-540-69812-8_5",

language = "English (US)",

isbn = "3540698116",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "43--52",

booktitle = "Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings",

note = "5th International Conference on Image Analysis and Recognition, ICIAR 2008 ; Conference date: 25-06-2008 Through 27-06-2008",

}

TY - GEN

T1 - Self-similarity of images in the Fourier domain, with applications to MRI

AU - Mayer, G. S.

AU - Vrscay, Edward R.

AU - Lauzon, M. L.

AU - Goodyear, B. G.

AU - Mitchell, J. R.

PY - 2008

Y1 - 2008

N2 - Results presented in this paper represent part of an ongoing research programme dedicated to the resolution enhancement of Fourier domain magnetic resonance (MR) data. Here we explore the use of self-similarity methods that may aid in frequency extrapolation of such data. To this end, we present analytical and empirical results demonstrating the self similarity of complex, Fourier domain MR data.

AB - Results presented in this paper represent part of an ongoing research programme dedicated to the resolution enhancement of Fourier domain magnetic resonance (MR) data. Here we explore the use of self-similarity methods that may aid in frequency extrapolation of such data. To this end, we present analytical and empirical results demonstrating the self similarity of complex, Fourier domain MR data.

UR - http://www.scopus.com/inward/record.url?scp=47749156478&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47749156478&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-69812-8_5

DO - 10.1007/978-3-540-69812-8_5

M3 - Conference contribution

AN - SCOPUS:47749156478

SN - 3540698116

SN - 9783540698111

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 43

EP - 52

BT - Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings

T2 - 5th International Conference on Image Analysis and Recognition, ICIAR 2008

Y2 - 25 June 2008 through 27 June 2008

ER -

Self-similarity of images in the Fourier domain, with applications to MRI

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this