Spatio-temporal modeling and adaptive acquisition for cardiac MRI

Nitin Aggarwal, Saptarshi Bandyopadhyay, Yoram Bresler

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

Abstract

We propose a model-based approach for real-time cardiac imaging that does not require cardiac or respiratory gating or breathholds. The model captures the spatial and temporal-spectral characteristics of the heart and also accounts for respiratory motion during imaging. The model parameters are estimated as part of the MRI experiment and drive both data acquisition and cine reconstruction algorithm. Simulated cardiac MRI experiments show quality cine reconstructions and robustness to modeling inaccuracies.

Original languageEnglish (US)
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages628-631
Number of pages4
StatePublished - 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume1

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/TerritoryUnited States
CityArlington, VA
Period4/15/044/18/04

ASJC Scopus subject areas

  • General Engineering

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