Susceptibility-weighted imaging: current status and future directions

Saifeng Liu, Sagar Buch, Yongsheng Chen, Hyun Seok Choi, Yongming Dai, Charbel Habib, Jiani Hu, Joon Yong Jung, Yu Luo, David Utriainen, Meiyun Wang, Dongmei Wu, Shuang Xia, E. Mark Haacke

Research output: Contribution to journalReview articlepeer-review

145 Scopus citations

Abstract

Susceptibility-weighted imaging (SWI) is a method that uses the intrinsic nature of local magnetic fields to enhance image contrast in order to improve the visibility of various susceptibility sources and to facilitate diagnostic interpretation. It is also the precursor to the concept of the use of phase for quantitative susceptibility mapping (QSM). Nowadays, SWI has become a widely used clinical tool to image deoxyhemoglobin in veins, iron deposition in the brain, hemorrhages, microbleeds and calcification. In this article, we review the basics of SWI, including data acquisition, data reconstruction and post-processing. In particular, the source of cusp artifacts in phase images is investigated in detail and an improved multi-channel phase data combination algorithm is provided. In addition, we show a few clinical applications of SWI for the imaging of stroke, traumatic brain injury, carotid vessel wall, siderotic nodules in cirrhotic liver, prostate cancer, prostatic calcification, spinal cord injury and intervertebral disc degeneration. As the clinical applications of SWI continue to expand both in and outside the brain, the improvement of SWI in conjunction with QSM is an important future direction of this technology.

Original languageEnglish
Article numbere3552
JournalNMR in Biomedicine
Volume30
Issue number4
DOIs
StatePublished - 1 Apr 2017

Bibliographical note

Publisher Copyright:
Copyright © 2016 John Wiley & Sons, Ltd.

Keywords

  • cerebral microbleeds
  • multi-channel phase data combination
  • phase imaging
  • quantitative susceptibility mapping
  • stroke
  • susceptibility-weighted imaging

Fingerprint

Dive into the research topics of 'Susceptibility-weighted imaging: current status and future directions'. Together they form a unique fingerprint.

Cite this