- Meeting abstract
- Open Access
2094 3D visualization of active catheters using compressed sensing
© Schirra et al; licensee BioMed Central Ltd. 2008
- Published: 22 October 2008
- Compress Sensing
- Acceleration Factor
- Orthogonal Match Pursuit
- Orthogonal Match Pursuit Algorithm
- Catheter Device
A crucial requirement in MR-guided interventions is the visualization of catheter devices in real-time. Common tracking techniques rely either on image projections to localize the catheter tip  or on single slice imaging  to capture the extent of the catheter in parts. True three-dimensional visualisation of the full length of catheter devices has hitherto been impossible given scan time constraints. Compressed Sensing (CS) has recently been proposed as a method to accelerate MR imaging of sparse objects . Since most objects to be imaged are not sparse in the image domain itself, a suitable transform basis is to be found permitting application of the CS method. Active catheters are sparse objects per se and therefore are well suited to the CS framework without requiring any further sparsifying transformation. It is the objective of this work to investigate the feasibility and the limits of CS for visualizing active catheters in three dimensions while satisfying real-time conditions.
Randomly undersampled data (Fig. 1e) were reconstructed using Orthogonal Matching Pursuit (OMP) as a fast approximation to the L1-norm inversion problem in CS . The known length of the active device to be imaged served as prior to control the number of iterations in the OMP algorithm. Accordingly, only a given number of data points was reconstructed. In order to assess the reconstruction error for varying acceleration factors the mean absolute difference between the true catheter location and the locations of the reconstructed points was determined. For display, reconstructed data were converted into a binary map and overlaid onto the in-vivo images.
Images of active catheters exhibit a high sparsity, which makes these data perfectly suited for CS. Image reconstructions of high quality for undersampling factor of up to 35 have been demonstrated. With a tailored interpolation scheme, using knowledge about the catheter properties, it might be possible to recover the shape even for acceleration factors beyond the current limit of 35. In conclusion, the proposed method shows that 3D imaging of interventional devices under real-time scanning conditions is feasible.
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