Signal polarity restoration in a 3D inversion recovery sequence used with delayed gadolinium-enhanced magnetic resonance imaging of cartilage (dGEMRIC)

Jerzy Szumowski, Michael G. Durkan, Erik W. Foss, Dawson S. Brown, Erwin Schwarz, Dennis C. Crawford

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Purpose: To develop an image reconstruction algorithm that restores the signal polarity in a three-dimensional inversion-recovery (3D-IR) sequence used in delayed gadolinium-enhanced MRI of cartilage (dGEMRIC). This approach effectively doubles the dynamic range of data used for T1 curve fitting. Materials and Methods: We applied this reconstruction algorithm to a 3D-IR TFE sequence used for T1 mapping, validated the technique in a phantom study, and performed T1-map calculations in postosteochondral allograft transplant (OAT) patients. In addition, we performed a signal simulation study to assess the algorithm's capability to reduce the number of inversion times used in the 3D-IR TFE sequence. Results: In comparison to a standard T1-mapping algorithm that uses the magnitude of the MRI signal, the proposed algorithm improves the reliability of T1 relaxation fits to the inversion-recovery three-parameter function. The signal simulation study shows that the number of TI inversion times can be reduced to as few as four, without compromising the accuracy of T1 calculations. Conclusion: This algorithm can be applied to any 2D- or 3D-IR acquisition sequence used in conjunction with dGEMRIC. Application of the algorithm improves the reliability of T1 calculations and allows the number of TIs to be reduced, leading to shorter scan times in dGEMRIC.

Original languageEnglish (US)
Pages (from-to)1248-1255
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Volume36
Issue number5
DOIs
StatePublished - Nov 1 2012

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Keywords

  • 3D inversion-recovery sequence
  • articular cartilage
  • dGEMRIC
  • signal polarity restoration

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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