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# pulmonary-MRI-reconstruction | ||
Tools for reconstructing Pulmonary MRI datasets to manage motion | ||
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Requires BART https://mrirecon.github.io/bart/ | ||
Current tools are built for 3D ultrashort echo time (UTE) MRI acquisitions with pseudo-random spatio-temporal sampling | ||
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Sample data has been tested with BART v.0.4.00, please install version later than v.0.4.00 | ||
Requirements | ||
* BART https://mrirecon.github.io/bart/ - Sample data has been tested with BART v.0.4.00, please install version later than v.0.4.00 | ||
https://github.com/mrirecon/bart/releases/ | ||
* MATLAB | ||
* Typically requires 100GB RAM, for 256*256*256 matrix size, 8 channel, 4 motion phase. | ||
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Requries MATLAB | ||
Current features | ||
* Supports center-out k-space trajectories (e.g. UTE with radial, cones) | ||
* Soft-gating reconstruction | ||
* Motion-resolved reconstruction | ||
* Dynamic Image Navigator reconstruction | ||
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Typically requires 100GB RAM, for 256*256*256 matrix size, 8 channel, 4 motion phase. | ||
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Current features being built in | ||
Supports center-out k-space trajectories (e.g. UTE with radial, cones) | ||
Soft-gating reconstruction | ||
Motion-resolved reconstruction | ||
Dynamic Image Navigator reconstruction | ||
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An anonymized sample dataset from a volunteer is available on request to test out the methods - please contact peder.larson@ucsf.edu to get a link | ||
Sample Data | ||
* An anonymized sample dataset from a volunteer is available on request to test out the methods - please contact peder.larson@ucsf.edu to get a link | ||
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Initial version adapted from | ||
https://github.com/jiangwenwen1231/FB_UTE_Recon | ||
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References | ||
https://doi.org/10.1002/mrm.26958 |