Basic study of susceptibility-weighted imaging at 1.5T

Toshi Matsushita, Daigo Anami, Tadashi Arioka, Seiji Inoue, Yusuke Kariya, Masako Fujimoto, Kentaro Ida, Nobuya Sasai, Mitsumasa Kaji, Susumu Kanazawa, Ikuo Joja

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    With the aim of sequence optimization in susceptibility-weighted imaging (SWI), 2 image acquisition parameters (slice thickness and matrix size) and 2 image processing conditions (number of slices per minimum intensity projection (MIP) and Sliding Window) were investigated using a 1.5-T magnetic resonance imaging (MRI) system. The subjects were 12 healthy volunteers and the target region for scanning was the whole brain. Informed consent was obtained from all subjects. First, susceptibility-weighted images were acquired with various slice thicknesses from 1 mm to 5 mm and various matrix sizes from 256 x 256 to 512 x 512, and the images were assessed in terms of the contrast-to-noise ratio (CNR) and were also visually evaluated by three radiologists. Then, the number of slices per MIP and the usefulness of the Sliding Window were investigated. In the study of the optimal slice thickness and matrix size, the results of visual evaluation suggested that a slice thickness of 3 mm and a matrix size of 448 x 448 are optimal, while the results of evaluation based on CNR were not significant. As regards the image processing conditions, the results suggested that the number of slices per MIP should be set to a minimum value of 2 and that the use of Sliding Window is effective. The present study provides useful reference data for optimizing SWI sequences. Copyright

    Original languageEnglish
    Article number3
    JournalActa medica Okayama
    Volume62
    Issue number3
    Publication statusPublished - Jun 2008

    Keywords

    • Contrast-to-noise ratio
    • Number of slices per MIP
    • Phase
    • Sliding window
    • Susceptibility

    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology(all)

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