- Poster presentation
- Open Access
Improved image reconstruction incorporating non-rigid motion correction for cardiac MRI using BLADE acquisition
© Kellman et al; licensee BioMed Central Ltd. 2009
- Published: 28 January 2009
- Full Resolution
- Dark Blood
- Image Reconstruction Method
- Respiratory Motion Artifact
- Full Resolution Image
The application of the BLADE sequence for dark blood T2-weighted cardiac MRI has the potential for increasing the spatial resolution thereby improving the detailed depiction of morphology . While the BLADE sequence using periodically rotating overlapping parallel lines (PROPELLER)  inherently provides a degree of motion tolerance, significant respiratory motion may result in image artifacts. Rigid body motion correction applied to PROPELLER MRI  is well suited to applications such brain imaging but is problematic in cardiac MR where the motion is not rigid. Non-rigid image registration has been successfully applied for motion corrected averaging in cardiac MR . In the present study, non-rigid motion correction was applied to individual BLADE images prior to combination as a high resolution image, to migitate respiratory motion artifacts that arise despite the use of a navigator.
To develop and evaluate an improved image reconstruction method for cardiac MRI acquired using a navigated BLADE sequence.
Dark blood prepared, navigated, ECG-gated T2-weighted cardiac MR imaging was performed using a BLADE sequence with TSE readout. Typical parameters for imaging using the Siemens Magnetom AVANTO 1.5 T scanner were: echo train length = 26, echospacing = 6 ms, TE = 78 ms; #BLADES = 17, readout resolution = 256, PE resolution = 44 per BLADE after rate 2 parallel imaging using 8 central reference lines, typical FOV 320 × 320 with 1.25 × 1.25 mm2 in-plane resolution with 6 mm slice thickness.
The proposed approach for BLADE reconstruction using non-rigid motion correction significantly improves the image quality in cases with respiratory motion artifacts. The method is fully automatic not requiring any user interaction to define bounding regions of interest.
- Viallon M, et al: Proceedings ISMRM. 2008, 1008-16Google Scholar
- Pipe J, et al: Magn Reson Med. 1999, 42 (5): 963-969. 10.1002/(SICI)1522-2594(199911)42:5<963::AID-MRM17>3.0.CO;2-L.View ArticlePubMedGoogle Scholar
- Ledesma MJ, et al: J Magn Reson Imaging. 2007, 26: 184-190. 10.1002/jmri.20957.View ArticleGoogle Scholar
- Chefd'hotel C, et al: Proc IEEE ISBI. 2002Google Scholar
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