Description Usage Arguments Author(s) References See Also

Calculates the Impulse Response Function on a per-voxel basis for
DCE-MRI data using numerical deconvolution, yielding the Impulse
Response Function for each voxel analyzed. The Area Under the Curve and
ratio of `AUC`

to Mean Residence Time provide estimates of the kinetic
model parameters *Ktrans* and *ve*. A visualization tool is also included that allows the user to explore voxel-wise data in an interactive manner.

1 2 3 4 |

`file` |
RData file containing DCE-MRI data. May be generated manually or by the function |

`slice` |
Image slice to be extracted for analysis. |

`vp` |
Fractional plasma volume of tissue within Region of Interest. Default value is zero. |

`border` |
A border of image voxels around the Field of View to be excluded from analysis. Default is 20 voxels. |

`maxCt` |
Voxels will be excluded from analysis if the maximum contrast agent concentration exceed a threshold of |

`parameter.plot` |
Which parameter will be described in the parametric maps? Two possible
values are |

`cutoff.map` |
Typically a number between 0.5 and 1. Represents the quantile at which parametric map values will be truncated in order to suppress very large |

`range.map` |
Typically a number between 1 and 2. The range of the color bar associated with the parametric map is set to the maximum value within the map times |

`export.matlab` |
Will the deconvolution results be export as a matlab file in addition to an RData file? Default value is FALSE. |

`batch.mode` |
Will the interactive parametric maps normally displayed at the end of each run be suppressed? Default value is FALSE. |

`alpha.AIF` |
Vector of smoothing parameters utilized by the |

`correct.trunc` |
Will a rough approximation of truncation error correction be performed on parametric maps of |

`kep.nom` |
A nominal value of kep to be used for truncation correction, i.e., to estimate the |

`...` |
Pass arguments. |

Gregory Zelinsky Ferl

Ferl GZ (2011) DATforDCEMRI: An R Package for Deconvolution Analysis and Visualization of DCE-MRI Data. *Journal of Statistical Software* **44**, 1-18.

Ferl GZ, Xu L, Friesenhahn M, Bernstein LJ, Barboriak DP, Port RE. (2010) An automated method for nonparametric kinetic analysis of clinical DCE-MRI data: application to glioblastoma treated with bevacizumab. *Magn Reson Med.* **63**, 1366-1375.

See also `DAT.checkData`

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