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This article is part of the supplement: Abstracts of the 16th Annual SCMR Scientific Sessions

Open Access Poster presentation

Simultaneous intracranial angiography and intraplaque hemorrhage imaging using SNAP

Jinnan Wang14*, Xihai Zhao2, Peter Boernert3 and Chun Yuan4

  • * Corresponding author: Jinnan Wang

Author Affiliations

1 Philips Research North America, Briarcliff Manor, NY, USA

2 BME, Tsinghua University, Beijing, China

3 Philips Research Europe, Hamburg, Germany

4 Radiology, University of Washington, Seattle, WA, USA

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Journal of Cardiovascular Magnetic Resonance 2013, 15(Suppl 1):E79  doi:10.1186/1532-429X-15-S1-E79

The electronic version of this article is the complete one and can be found online at: http://www.jcmr-online.com/content/15/S1/E79


Published:30 January 2013

© 2013 Wang et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background

Intracranial atherosclerotic disease (IAD) accounts for 9-15% of all stroke incidents in the US [1], and the ratio is even higher in some racial groups [2]. Although angiography based imaging remains the prevalent diagnostic tool for IAD detection, it's unable to detect high risk lesions via direct visualization of the vessel wall. Lesions with intraplaque hemorrhage (IPH) on the carotid arteries have been associated with significantly increased clinical symptoms and plaque progress. An imaging tool that can detect both the luminal stenosis and high risk vessel wall disease is of clinical importance for IAD patient management. In this study, the recently proposed SNAP [3] technique was particularly optimized to simultaneously detect luminal stenosis and IPH for IAD patients.

Methods

The SNAP technique was optimized toward the M1 segment of the middle cerebral arteries as it is the most frequent target of IADs. The optimized sequence has a shifted IR slab with a coverage of 25 cm.

One healthy volunteer and 3 patients with diagnosed IAD were recruited in this study. All MR scans were performed using a 3T whole body scanner (Philips Achieva, R3.21, the Netherlands) with an 8-ch brain coil. Geometrically matched SNAP and TOF scans were conducted on all subjects for easy comparison. For both scans, 1×1×1 mm3 isotropic resolution was acquired for a 160×160×50 mm3 FOV, the images were then zero-padded to 0.5×0.5×0.5 mm3 isotropic resolution. The SNAP images were reconstructed to allow MRA-only or MRA-IPH joint views, using a method described before [3].

Results

The reconstructed 3D SNAP MRA provided improved visualization of the intracranial artery vascular tree, particularly on small branches, when compared to the matched TOF MRA images (Figure 1). The visualization of the major branches, such as MCA, is quite comparable between SNAP and TOF.

thumbnailFigure 1. MRA images acquired on the same subject using TOF (a) and SNAP (b). Same spatial resolution and coverage were used. SNAP offers improved visualization of smaller arteries because of the improved background suppression (arrows).

One patient was found to present stenosis and IPH on Inverted-SNAP but not on TOF (Figure 2a,c). Further examination revealed that no stenosis was identified on TOF MRA because the hyperintense IPH lesion caused false-negative findings. The cross-sectional TOF (Figure 2b) and SNAP (Figure 2d) images clearly confirmed the existence of both IPH and stenosis.

thumbnailFigure 2. TOF (a) and Inverted-SNAP (c) images of a subject with suspected MCA stenosis and IPH. Both IPH and lumen were bright on TOF MRA (a), leading to a false-negative detection of both lesions; Inverted-SNAP MRA clearly visualized the stenosis (c). The cross-section image of both TOF (b) and SNAP (d) images confirmed the findings.

Conclusions

The SNAP technique is for the first time optimized and applied to the intracranial artery atherosclerotic disease imaging. It promises to offer a unique approach to detect both luminal stenosis and high-risk intraplaque hemorrhage lesions for patients with IAD.

Funding

NIH 1R01HL103609.