rcbv-methods.RdQuantification of relative cerebral blood volume (rCBV) using the first pass from a bolus injection of a contrast agent.
rCBV.fast(signal, ...)
# S4 method for array
rCBV.fast(signal, mask, aif, time, multicore = FALSE, verbose = FALSE)
rCBV(Ct, Ca, time, Hf = 1, rho = 1)| signal | is a multidimensional array of signal intensities (or concentrations). The last dimension is assumed to be a function of the acquisition times, while the previous dimenions are assued to be spatial. |
|---|---|
| ... | Additional variables defined by the method. |
| mask | is a (logical) multidimensional array that identifies the voxels to be analyzed. |
| aif | Arterial Input Function. |
| time | is the vector of acquisition times associated with the dynamic data. |
| multicore | is a logical variable (default = |
| verbose | is a logical variable (default = |
| Ct | is the time series of contrast agent concentration in tissue. |
| Ca | is the time series of contrast agent concentration in the blood. |
| Hf | is the hematocrit factor. |
| rho | is the density of brain tissue. |
A nifti object containing the estimates of regional cerebral
blood volume (rCBV).
Brandon Whitcher bwhitcher@gmail.com