Superior Abdominal 4D Flow MRI Data Consistency with Adjusted Preprocessing Workflow and Noncontrast Acquisitions

Eric J. Keller*, Jeremy D. Collins, Cynthia Rigsby, James C. Carr, Michael Markl, Susanne Schnell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Rationale and Objectives To assess the impact of an alternative preprocessing workflow on noncontrast- and contrast-enhanced abdominal four-dimensional flow magnetic resonance imaging (4D flow MRI) data consistency. Materials and Methods Twenty patients with cirrhosis and portal hypertension (5 women; 53 ± 10 years old) underwent 4D flow MRI at 3.0T before and after administration of 0.03 mmol/kg of gadofosveset trisodium with velocity sensitivities of 100 and 50 cm/s for arterial and venous flow quantifications, respectively. 4D flow MRI data were preprocessed using the conventional workflow (workflow 1), applying noise filters prior to eddy current correction, and an alternative workflow (workflow 2), first correcting for eddy currents and using noise filtering only if needed for anti-aliasing. Vessel segmentation quality was ranked by independent reviewers and compared via Wilcoxon signed-rank tests. Flow quantification and conservation of mass at two portal and one arterial branch points were compared via paired t tests. Results Segmentation quality was significantly higher for workflow 2 (P < 0.05) with excellent interobserver agreement (κ = 0.92). Workflow 2 resulted in larger flow values (P < 0.05) with improved conservation of mass (7.3 ± 6.1% vs. 27.7 ± 25.0%, P < 0.001 [portal]; 10.7 ± 9.0% vs. 21.7 ± 21.6%, P = 0.02 [arterial]). Peak velocities and abdominal aortic flow were similar (P > 0.05). Noncontrast acquisitions yielded significantly smaller portal flow values (P < 0.05) with improved conservation of mass (5.8 ± 4.7% vs. 8.7 ± 6.9%, P = 0.05 [portal]; 6.2 ± 4.5% vs. 13.7 ± 10.2%, P = 0.03 [arterial]). Conclusions Superior abdominal 4D flow MRI data consistency was obtained by applying eddy current correction before any other data manipulation, using noise masking and velocity anti-aliasing cautiously, and using noncontrast acquisitions.

Original languageEnglish (US)
Pages (from-to)350-358
Number of pages9
JournalAcademic radiology
Volume24
Issue number3
DOIs
StatePublished - Mar 1 2017

Funding

This work was supported by a Radiological Society of North America Research & Education Foundation Seed Grant (#1218) awarded to author JDC. The authors would like the thank Michael Rose for training author EJK in 4D flow MRI data processing. The authors would also like to thank Marisol Bello, Griselda Herrera, Rebecca Ditch, and Rachel Davids for their invaluable support scheduling and facilitating 4D flow MRI examinations for this study.

Keywords

  • 4D flow MRI
  • cirrhosis
  • eddy current correction
  • preprocessing

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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