Dynamic MRI using spatiotemporal modeling with phased array coils

Dan Xu, Leslie Ying, Zhi Pei Liang

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

Abstract

This paper presents a model-based dynamic MRI method with time-sequential sampling in k-t space using phased array coils. The temporal variation of the dynamic object is modeled as a superposition of motion elements while the spatial variation is captured by the series coefficients, thereby converting the dynamic imaging problem to a parameter identification problem. Parallel data acquisition using phased array coils is used to balance k-space and time-domain undersampling. Simulations based on experimental cardiac data are carried out, which show that the proposed method can reconstruct motion artifacts-free images with very high spatiotemporal resolution.

Original languageEnglish (US)
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages722-725
Number of pages4
StatePublished - Nov 17 2006
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Publication series

Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Country/TerritoryUnited States
CityArlington, VA
Period4/6/064/9/06

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Dynamic MRI using spatiotemporal modeling with phased array coils'. Together they form a unique fingerprint.

Cite this