Literature DB >> 27192086

Susceptibility-weighted imaging: current status and future directions.

Saifeng Liu1, Sagar Buch1, Yongsheng Chen2, Hyun-Seok Choi3, Yongming Dai4, Charbel Habib2, Jiani Hu2, Joon-Yong Jung3, Yu Luo5, David Utriainen4, Meiyun Wang6, Dongmei Wu7, Shuang Xia8, E Mark Haacke1,2,4,7.   

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

Entities:  

Keywords:  cerebral microbleeds; multi-channel phase data combination; phase imaging; quantitative susceptibility mapping; stroke; susceptibility-weighted imaging

Mesh:

Year:  2016        PMID: 27192086      PMCID: PMC5116013          DOI: 10.1002/nbm.3552

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  172 in total

Review 1.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

2.  Noncontrast-enhanced magnetic resonance angiography and venography imaging with enhanced angiography.

Authors:  Yongquan Ye; Jiani Hu; Dongmei Wu; E Mark Haacke
Journal:  J Magn Reson Imaging       Date:  2013-04-04       Impact factor: 4.813

3.  Dynamic contrast-enhanced MR imaging of carotid atherosclerotic plaque: model selection, reproducibility, and validation.

Authors:  Michaela E Gaens; Walter H Backes; Stefan Rozel; Matthijs Lipperts; Stefan N Sanders; Karolien Jaspers; Jacques P M Cleutjens; Judith C Sluimer; Sylvia Heeneman; Mat J A P Daemen; Rob J T J Welten; Jan-Willem H Daemen; Joachim E Wildberger; Robert M Kwee; M Eline Kooi
Journal:  Radiology       Date:  2012-11-14       Impact factor: 11.105

4.  Using a 2D multibreath-hold susceptibility-weighted imaging to visualize intratumoral hemorrhage of hepatocellular carcinoma at 3T MRI: correlation with pathology.

Authors:  Ruo-Kun Li; Meng-Su Zeng; Sheng-Xiang Rao; Jin-Wei Qiang; Yong-Ming Dai; Yuan Ji; Cai-Zhong Chen; Jerecic Renate
Journal:  J Magn Reson Imaging       Date:  2012-06-28       Impact factor: 4.813

5.  Imaging Cerebral Microhemorrhages in Military Service Members with Chronic Traumatic Brain Injury.

Authors:  Wei Liu; Karl Soderlund; Justin S Senseney; David Joy; Ping-Hong Yeh; John Ollinger; Elyssa B Sham; Tian Liu; Yi Wang; Terrence R Oakes; Gerard Riedy
Journal:  Radiology       Date:  2015-09-15       Impact factor: 11.105

6.  Inflammation in carotid atherosclerotic plaque: a dynamic contrast-enhanced MR imaging study.

Authors:  William S Kerwin; Kevin D O'Brien; Marina S Ferguson; Nayak Polissar; Thomas S Hatsukami; Chun Yuan
Journal:  Radiology       Date:  2006-09-11       Impact factor: 11.105

Review 7.  Susceptibility weighted imaging: a new tool in magnetic resonance imaging of stroke.

Authors:  K Santhosh; C Kesavadas; B Thomas; A K Gupta; K Thamburaj; T Raman Kapilamoorthy
Journal:  Clin Radiol       Date:  2008-08-21       Impact factor: 2.350

Review 8.  Susceptibility-weighted imaging for differential diagnosis of cerebral vascular pathology: a pictorial review.

Authors:  Yu-Kun Tsui; Fong Y Tsai; Anton N Hasso; Fred Greensite; Binh V Nguyen
Journal:  J Neurol Sci       Date:  2009-09-20       Impact factor: 3.181

9.  Development of a robust method for generating 7.0 T multichannel phase images of the brain with application to normal volunteers and patients with neurological diseases.

Authors:  Kathryn E Hammond; Janine M Lupo; Duan Xu; Meredith Metcalf; Douglas A C Kelley; Daniel Pelletier; Susan M Chang; Pratik Mukherjee; Daniel B Vigneron; Sarah J Nelson
Journal:  Neuroimage       Date:  2007-11-07       Impact factor: 6.556

10.  Imaging the effects of oxygen saturation changes in voluntary apnea and hyperventilation on susceptibility-weighted imaging.

Authors:  K Chang; S Barnes; E M Haacke; R I Grossman; Y Ge
Journal:  AJNR Am J Neuroradiol       Date:  2013-12-26       Impact factor: 3.825

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  43 in total

1.  Automated adaptive preconditioner for quantitative susceptibility mapping.

Authors:  Zhe Liu; Yan Wen; Pascal Spincemaille; Shun Zhang; Yihao Yao; Thanh D Nguyen; Yi Wang
Journal:  Magn Reson Med       Date:  2019-08-11       Impact factor: 4.668

2.  Susceptibility weighted imaging and quantitative susceptibility mapping of the cerebral vasculature using ferumoxytol.

Authors:  Saifeng Liu; Jean-Christophe Brisset; Jiani Hu; E Mark Haacke; Yulin Ge
Journal:  J Magn Reson Imaging       Date:  2017-07-21       Impact factor: 4.813

3.  Seven-tesla susceptibility-weighted analysis of hippocampal venous structures: Application to magnetic-resonance-normal focal epilepsy.

Authors:  Rebecca Emily Feldman; Lara Vanessa Marcuse; Gaurav Verma; Stephanie Sian Gabriella Brown; Alexandru Rus; John Watson Rutland; Bradley Neil Delman; Priti Balchandani; Madeline Cara Fields
Journal:  Epilepsia       Date:  2020-02-04       Impact factor: 5.864

4.  Susceptibility difference weighted imaging in vertical-field MRI.

Authors:  Ryota Sato; Toru Shirai; Yo Taniguchi; Takenori Murase; Yoshitaka Bito; Yoshihisa Soutome; Hisaaki Ochi
Journal:  Radiol Phys Technol       Date:  2018-04-26

Review 5.  Molecular Imaging of Acute Cardiac Transplant Rejection: Animal Experiments and Prospects.

Authors:  Yihan Chen; Li Zhang; Jinfeng Liu; Pingyu Zhang; Xiaoyuan Chen; Mingxing Xie
Journal:  Transplantation       Date:  2017-09       Impact factor: 4.939

6.  Aberrant paramagnetic signals outside the tumor volume on routine surveillance MRI of brain tumor patients.

Authors:  Shlomit Yust-Katz; Edna Inbar; Natalia Michaeli; Dror Limon; Tali Siegal
Journal:  J Neurooncol       Date:  2017-07-10       Impact factor: 4.130

7.  Prominent cerebral veins on susceptibility-weighted imaging (SWI) in pulmonary embolism.

Authors:  Bilge Öztoprak
Journal:  Eur Radiol       Date:  2016-10-04       Impact factor: 5.315

Review 8.  Diagnosis of multiple sclerosis through the lens of ultra-high-field MRI.

Authors:  Pascal Sati
Journal:  J Magn Reson       Date:  2018-04-26       Impact factor: 2.229

9.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

10.  Microstructural and microglial changes after repetitive mild traumatic brain injury in mice.

Authors:  Shenandoah Robinson; Jacqueline B Berglass; Jesse L Denson; Justin Berkner; Christopher V Anstine; Jesse L Winer; Jessie R Maxwell; Jianhua Qiu; Yirong Yang; Laurel O Sillerud; William P Meehan; Rebekah Mannix; Lauren L Jantzie
Journal:  J Neurosci Res       Date:  2016-07-25       Impact factor: 4.164

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