On the water-fat in-phase assumption for quantitative susceptibility mapping

Magn Reson Med. 2023 Mar;89(3):1068-1082. doi: 10.1002/mrm.29516. Epub 2022 Nov 2.

Abstract

Purpose: To (a) define multi-peak fat model-based effective in-phase echo times for quantitative susceptibility mapping (QSM) in water-fat regions, (b) analyze the relationship between fat fraction, field map quantification bias and susceptibility bias, and (c) evaluate the susceptibility mapping performance of the proposed effective in-phase echoes in comparison to single-peak in-phase echoes and water-fat separation for regions where both water and fat are present.

Methods: Effective multipeak in-phase echo times for a bone marrow and a liver fat spectral model were derived from a single voxel simulation. A Monte Carlo simulation was performed to assess the field map estimation error as a function of fat fraction for the different in-phase echoes. Additionally, a phantom scan and in vivo scans in the liver, spine, and breast were performed and evaluated with respect to quantification accuracy.

Results: The use of single-peak in-phase echoes can introduce a worst-case susceptibility bias of 0.43 $$ 0.43 $$ ppm. The use of effective multipeak in-phase echoes shows a similar quantitative performance in the numerical simulation, the phantom and in all in vivo anatomies when compared to water-fat separation-based QSM.

Conclusion: QSM based on the proposed effective multipeak in-phase echoes can alleviate the quantification bias present in QSM based on single-peak in-phase echoes. When compared to water-fat separation-based QSM the proposed effective in-phase echo times achieve a similar quantitative performance while drastically reducing the computational expense for field map estimation.

Keywords: field map; in phase; quantitative susceptibility mapping; susceptibility.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abdomen
  • Breast
  • Image Processing, Computer-Assisted / methods
  • Liver / diagnostic imaging
  • Magnetic Resonance Imaging* / methods
  • Water*

Substances

  • Water