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A convex optimization framework for global tractography | IEEE Conference Publication | IEEE Xplore

A convex optimization framework for global tractography


Abstract:

In this article we present a novel approach for diffusion MRI global tractography. Our formulation models the signal in each voxel as a linear combination of fiber-tract ...Show More

Abstract:

In this article we present a novel approach for diffusion MRI global tractography. Our formulation models the signal in each voxel as a linear combination of fiber-tract basis functions, which consist of a comprehensive set of plausible fiber tracts that are locally compatible with the measured MR signal. This large dictionary of candidate fibers is directly estimated from the data and, subsequently, efficient convex optimization techniques are used for recovering the smallest subset globally best fitting the measured signal. Experimental results conducted on a realistic phantom demonstrate that our approach significantly reduces the computational cost of global tractography while still attaining a reconstruction quality at least as good as the state-of-the-art global methods.
Date of Conference: 07-11 April 2013
Date Added to IEEE Xplore: 15 July 2013
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Conference Location: San Francisco, CA, USA

References

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