Affine-corrected PARADISE: Free-breathing patient-adaptive cardiac MRI with sensitivity encoding

Behzad Sharif, Yoram Bresler

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

Abstract

We propose a real-time cardiac imaging method with parallel MRI that allows for free breathing during imaging and does not require cardiac or respiratory gating. The method is based on the recently proposed PARADISE (Patient-Adaptive Reconstruction and Acquisition Dynamic Imaging with Sensitivity Encoding) scheme. The new acquisition method adapts the PARADISE k-t space sampling pattern according to an affine model of the respiratory motion. The reconstruction scheme involves multi-channel time-sequential imaging with time-varying channels. All model parameters are adapted to the imaged patient as part of the experiment and drive both data acquisition and cine reconstruction. Simulated cardiac MRI experiments using the realistic NCAT phantom show high quality cine reconstructions and robustness to modeling inaccuracies.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages1076-1079
Number of pages4
DOIs
StatePublished - Nov 27 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

Fingerprint

Magnetic resonance imaging
Respiration
Imaging techniques
Data acquisition
Experiments
Sampling

Keywords

  • Adaptive acquisition
  • Affine motion correction
  • Dynamic MRI
  • Respiratory motion
  • Time-sequential sampling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

Cite this

Sharif, B., & Bresler, Y. (2007). Affine-corrected PARADISE: Free-breathing patient-adaptive cardiac MRI with sensitivity encoding. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 1076-1079). [4193476] (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). https://doi.org/10.1109/ISBI.2007.357042

Affine-corrected PARADISE : Free-breathing patient-adaptive cardiac MRI with sensitivity encoding. / Sharif, Behzad; Bresler, Yoram.

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 1076-1079 4193476 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).

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

Sharif, B & Bresler, Y 2007, Affine-corrected PARADISE: Free-breathing patient-adaptive cardiac MRI with sensitivity encoding. in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 4193476, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings, pp. 1076-1079, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, Arlington, VA, United States, 4/12/07. https://doi.org/10.1109/ISBI.2007.357042
Sharif B, Bresler Y. Affine-corrected PARADISE: Free-breathing patient-adaptive cardiac MRI with sensitivity encoding. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 1076-1079. 4193476. (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). https://doi.org/10.1109/ISBI.2007.357042
Sharif, Behzad ; Bresler, Yoram. / Affine-corrected PARADISE : Free-breathing patient-adaptive cardiac MRI with sensitivity encoding. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. pp. 1076-1079 (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings).
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