File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Spiral MRI reconstruction using least square quantization table

TitleSpiral MRI reconstruction using least square quantization table
Authors
Liang, DLam, EYFung, GSKZhang, X
KeywordsAdaptability
Image Reconstruction
Least Square Quantization Table
Reusability
Spiral Trajectory
Issue Date2008
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 2nd International Conference on Medical Imaging and Informatics (MIMI 2007), Beijing, China, 14-16 August 2007. In Lecture Notes In Computer Science, 2008, v. 4987, p. 287-293 How to Cite?
DOI: http://dx.doi.org/10.1007/978-3-540-79490-5_35
AbstractRecently, 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. © 2008 Springer-Verlag Berlin Heidelberg.
DescriptionLNCS v. 4987 entitled: Medical Imaging and Informatics: 2nd International Conference, MIMI 2007, Beijing, China, August 14-16, 2007
Revised Selected Papers
Persistent Identifierhttp://hdl.handle.net/10722/158524
ISSN
0302-9743
2023 SCImago Journal Rankings: 0.606
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLiang, Den_US
dc.contributor.authorLam, EYen_US
dc.contributor.authorFung, GSKen_US
dc.contributor.authorZhang, Xen_US
dc.date.accessioned2012-08-08T09:00:05Z-
dc.date.available2012-08-08T09:00:05Z-
dc.date.issued2008en_US
dc.identifier.citationThe 2nd International Conference on Medical Imaging and Informatics (MIMI 2007), Beijing, China, 14-16 August 2007. In Lecture Notes In Computer Science, 2008, v. 4987, p. 287-293en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10722/158524-
dc.descriptionLNCS v. 4987 entitled: Medical Imaging and Informatics: 2nd International Conference, MIMI 2007, Beijing, China, August 14-16, 2007-
dc.descriptionRevised Selected Papers-
dc.description.abstractRecently, 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. © 2008 Springer-Verlag Berlin Heidelberg.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.subjectAdaptabilityen_US
dc.subjectImage Reconstructionen_US
dc.subjectLeast Square Quantization Tableen_US
dc.subjectReusabilityen_US
dc.subjectSpiral Trajectoryen_US
dc.titleSpiral MRI reconstruction using least square quantization tableen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, EY:elam@eee.hku.hken_US
dc.identifier.authorityLam, EY=rp00131en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/978-3-540-79490-5_35en_US
dc.identifier.scopuseid_2-s2.0-45849090404en_US
dc.identifier.hkuros128185-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-45849090404&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume4987en_US
dc.identifier.spage287en_US
dc.identifier.epage293en_US
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridLiang, D=26643210600en_US
dc.identifier.scopusauthoridLam, EY=7102890004en_US
dc.identifier.scopusauthoridFung, GSK=7004213392en_US
dc.identifier.scopusauthoridZhang, X=7410265236en_US
dc.customcontrol.immutablesml 151002 - merged-
dc.identifier.issnl0302-9743-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats