Difference between revisions of "Projects:EPIDistortionCorrection"
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| + | Back to [[Algorithm:Utah|Utah Algorithms]] | ||
| + | __NOTOC__ | ||
= Correction for Geometric Distortion in Echo Planar Images = | = Correction for Geometric Distortion in Echo Planar Images = | ||
= Description = | = Description = | ||
| + | We have developed a variational image-based approach to correct the susceptibility artifacts in the alignment of diffusion weighted and structural MRI.The correction is formulated as an optimization of a penalty that captures the intensity difference between the jacobian corrected EPI baseline images and a corresponding T2-weighted structural image. | ||
| + | {| | ||
| + | |[[Image:EPI.png|thumb|512px|Coronal slice from a fieldmap corrected EPI (left). The same slice using proposed correction method (right).]] | ||
| + | |} | ||
| + | |||
| + | = Key Investigators = | ||
| + | |||
| + | * Utah: Ran Tao, Tom Fletcher, Samuel Gerber, Ross Whitaker | ||
| + | |||
| + | = Publications = | ||
| + | |||
| + | '' In Press '' | ||
| + | |||
| + | R Tao, P T Fletcher, S Gerber, R Whitaker, A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI, IPMI 2009 | ||
Latest revision as of 23:06, 20 October 2009
Home < Projects:EPIDistortionCorrectionBack to Utah Algorithms
Correction for Geometric Distortion in Echo Planar Images
Description
We have developed a variational image-based approach to correct the susceptibility artifacts in the alignment of diffusion weighted and structural MRI.The correction is formulated as an optimization of a penalty that captures the intensity difference between the jacobian corrected EPI baseline images and a corresponding T2-weighted structural image.
Key Investigators
- Utah: Ran Tao, Tom Fletcher, Samuel Gerber, Ross Whitaker
Publications
In Press
R Tao, P T Fletcher, S Gerber, R Whitaker, A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI, IPMI 2009
