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01.02.2008 | Diagnostic Neuroradiology

Clinical applications of susceptibility weighted MR imaging of the brain – a pictorial review

verfasst von: Bejoy Thomas, Sivaraman Somasundaram, Krishnamoorthy Thamburaj, Chandrasekharan Kesavadas, Arun Kumar Gupta, Narendra K. Bodhey, Tirur Raman Kapilamoorthy

Erschienen in: Neuroradiology | Ausgabe 2/2008

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Abstract

Introduction

Susceptibility-weighted imaging (SWI) is a novel magnetic resonance (MR) technique that exploits the magnetic susceptibility differences of various tissues, such as blood, iron and calcification. This pictorial review covers many clinical conditions illustrating its usefulness.

Methods

SWI consists of using both magnitude and phase images from a high-resolution, three-dimensional fully velocity-compensated gradient echo sequence. Phase mask is created from the MR phase images, and multiplying these with the magnitude images increase the conspicuity of the smaller veins and other sources of susceptibility effects, which is depicted using minimal intensity projection (minIP).

Results

The phase images are useful in differentiating between diamagnetic and paramagnetic susceptibility effects of calcium and blood, respectively. This unique MR sequence will help in detecting occult low flow vascular lesions, calcification and cerebral microbleed in various pathologic conditions and aids in characterizing tumors and degenerative diseases of the brain. This sequence also can be used to visualize normal brain structures with conspicuity.

Conclusion

Susceptibility-weighted imaging is useful in differentiating and characterizing diverse brain pathologies.

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Titel: Clinical applications of susceptibility weighted MR imaging of the brain – a pictorial review
verfasst von: Bejoy Thomas
Sivaraman Somasundaram
Krishnamoorthy Thamburaj
Chandrasekharan Kesavadas
Arun Kumar Gupta
Narendra K. Bodhey
Tirur Raman Kapilamoorthy
Publikationsdatum: 01.02.2008
Verlag: Springer-Verlag
Erschienen in: Neuroradiology / Ausgabe 2/2008
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI: https://doi.org/10.1007/s00234-007-0316-z

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Abstract

Introduction

Methods

Results

Conclusion

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