Highly parallel volumetric imaging with a 32-element RF coil array

Yudong Zhu, Christopher J. Hardy, Daniel K. Sodickson, Randy O. Giaquinto, Charles L. Dumoulin, Gontran Kenwood, Thoralf Niendorf, Hubert Lejay, Charles A. McKenzie, Michael A. Ohliger, Neil M. Rofsky

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The improvement of MRI speed with parallel acquisition is ultimately an SNR-limiled process. To offset acquisition- and reconstruction-related SNR losses, practical parallel imaging at high accelerations should include the use of a many-element array with a high intrinsic signal-to-noise ratio (SNR) and spatial-encoding capability, and an advantageous imaging paradigm. We present a 32-element receive-coil array and a volumetric paradigm that address the SNR challenge at high accelerations by maximally exploiting multidimensional acceleration in conjunction with noise averaging. Geometric details beyond an initial design concept for the array were determined with the guidance of simulations. Imaging with the support of 32-channel data acquisition systems produced in vivo results with up to 16-fold acceleration, including images from rapid abdominal and MRA studies.

    Original languageEnglish (US)
    Pages (from-to)869-877
    Number of pages9
    JournalMagnetic resonance in medicine
    Volume52
    Issue number4
    DOIs
    StatePublished - Oct 2004

    Keywords

    • Abdominal imaging
    • Coil design
    • High acceleration
    • MRA
    • Parallel imaging
    • Volumetric imaging

    ASJC Scopus subject areas

    • Radiology Nuclear Medicine and imaging

    Fingerprint Dive into the research topics of 'Highly parallel volumetric imaging with a 32-element RF coil array'. Together they form a unique fingerprint.

    Cite this