High-resolution diffusion-weighted imaging with interleaved variable-density spiral acquisitions

Tie Qiang Li, Dong Hyun Kim, Michael E. Moseley

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Purpose: To develop a multishot magnetic resonance imaging (MRI) pulse sequence and reconstruction algorithm for diffusion-eighted imaging (DWI) in the brain with sub-millimeter in-plane resolution. Materials and Methods: A self-navigated multishot acquisition technique based on variable-density spiral k-space trajectory design was implemented on clinical MRI scanners. The image reconstruction algorithm takes advantage of the oversampling of the center k-space and uses the densely sampled central portion of the k-space data for both imaging reconstruction and motion correction. The developed DWI technique was tested in an agar gel phantom and three healthy volunteers. Results: Motions result in phase and k-space shifts in the DWI data acquired using multishot spiral acquisitions. With the two-dimensional self-navigator correction, diffusion-weighted images with a resolution of 0.9 × 0.9 × 3 mm 3 were successfully obtained using different interleaves ranging from 8-32. The measured apparent diffusion coefficient (ADC) in the homogenous gel phantom was (1.66 ± 0.09) × 10-3 mm2/second, which was the same as measured with single-shot methods. The intersubject average ADC from the brain parenchyma of normal adults was (0.91 ± 0.01) × 10-3 mm2/second, which was in a good agreement with the reported literature values. Conclusion: The self-navigated multishot variable-density spiral acquisition provides a time-efficient approach to acquire high-resolution diffusion-weighted images on a clinical scanner. The reconstruction algorithm based on motion correction in the k-space data is robust, and measured ADC values are accurate and reproducible.

Original languageEnglish
Pages (from-to)468-475
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Volume21
Issue number4
DOIs
Publication statusPublished - 2005 Apr

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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