Integrating parallel imaging with generalized series for accelerated dynamic imaging

Dan Xu, Erik Wiener, Mike Aref, Leslie Ying, M. Ji, Zhi Pei Liang

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

Abstract

One key problem in MR dynamic imaging (e.g. dynamic contrast-enhanced (DCE) imaging of breast cancer) is low spatiotemporal resolution. To tackle this problem, this paper presents a novel method to integrate parallel imaging using multiple receiver coils with generalized series (GS) imaging. The proposed method takes advantage of both the conventional parallel data acquisition scheme and the GS model-based imaging method to achieve higher spatiotemporal resolution in dynamic imaging. Simulations on human breast cancer imaging and mammary tumor imaging of rat and the experiment on DCE imaging of human chest tumors yielded excellent results by the proposed method.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1434-1437
Number of pages4
ISBN (Print)0780387406, 9780780387409
DOIs
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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