3D true-phase polarity recovery with independent phase estimation using three-tier stacks based region growing (3D-TRIPS)

Haining Liu, Gregory J. Wilson, Niranjan Balu, Jeffrey H. Maki, Daniel S. Hippe, Wei Wu, Hiroko Watase, Jinnan Wang, Martin L. Gunn, Chun Yuan

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Objectives: A postprocessing technique termed 3D true-phase polarity recovery with independent phase estimation using three-tier stacks based region growing (3D-TRIPS) was developed, which directly reconstructs phase-sensitive inversion-recovery images without acquisition of phase-reference images. The utility of this technique is demonstrated in myocardial late gadolinium enhancement (LGE) imaging. Materials and methods: A data structure with three tiers of stacks was used for 3D-TRIPS to directly achieve reliable region growing for successful background-phase estimation. Fifteen patients undergoing postgadolinium 3D phase-sensitive inversion recovery (PSIR) cardiac LGE magnetic resonance imaging (MRI) were recruited, and 3D-TRIPS LGE reconstructions were compared with standard PSIR. Objective voxel-by-voxel comparison was performed. Additionally, blinded review by two radiologists compared scar visibility, clinical acceptability, voxel polarity error, or groups and blurring. Results: 3D-TRIPS efficiently reconstructed postcontrast phase-sensitive myocardial LGE images. Objective analysis showed an average 95% voxel-by-voxel agreement between 3D-TRIPS and PSIR images. Blinded radiologist review demonstrated similar image quality between 3D-TRIPS and PSIR reconstruction. Conclusion: 3D-TRIPS provided similar image quality to PSIR for phase-sensitive myocardial LGE MRI reconstruction. 3D-TRIPS does not require acquisition of a reference image and can therefore be used to accelerate phase-sensitive LGE imaging.

Original languageEnglish
Pages (from-to)87-99
Number of pages13
JournalMagnetic Resonance Materials in Physics, Biology and Medicine
Volume31
Issue number1
DOIs
Publication statusPublished - 01-02-2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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