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Highly accelerated 3D dynamic contrast enhanced MRI from sparse spiral sampling using integrated partial separability model and JSENSE

  • Jingyuan Lyu
  • , Pascal Spincemaille
  • , Yi Wang
  • , Yihang Zhou
  • , Fuquan Ren
  • , Leslie Ying
  • SUNY Buffalo
  • Cornell University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Dynamic contrast enhanced MRI requires high spatial resolution for morphological information and high temporal resolution for contrast pharmacokinetics. The current techniques usually have to compromise the spatial information for the required temporal resolution. This paper presents a novel method that effectively integrates sparse sampling, parallel imaging, partial separable (PS) model, and sparsity constraints for highly accelerated DCE-MRI. Phased array coils were used to continuously acquire data from a stack of variable-density spiral trajectory with a golden angle. In reconstruction, the sparsity constraints, the coil sensitivities, spatial and temporal bases of the PS model are jointly estimated through alternating optimization. Experimental results from in vivo DCE liver imaging data show that the proposed method is able to achieve high spatial and temporal resolutions at the same time.

Original languageEnglish
Title of host publicationCompressive Sensing III
EditorsFauzia Ahmad
PublisherSPIE
ISBN (Electronic)9781628410464
DOIs
StatePublished - 2014
EventCompressive Sensing III - Baltimore, United States
Duration: May 7 2014May 9 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9109
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceCompressive Sensing III
Country/TerritoryUnited States
CityBaltimore
Period05/7/1405/9/14

Keywords

  • coil sensitivity
  • dynamic contrast enhanced MRI
  • JSENSE
  • parallel imaging
  • partial separable model
  • sparsity

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