AbsCBF_T1Fit (Preclinical)

Purpose. Voxelwise absolute CBF from MTI-PASL by fitting T1 curves on global vs selective series.

Computation

For each voxel, fit T1 to global and selective TI curves, then:

CBF = 4980 * (T1_glo / 2250) * (1000/T1_sel - 1000/T1_glo) (T1 in ms)

Context I/O

Reads from ctx: - AbsData (optional): 3D stack (X,Y,N). If absent, the module loads from params["data_path"]. - savedir (optional): output directory (default ".")
Writes to ctx: - absCBF: 2D CBF map (X,Y)

Filesystem outputs

<savedir>/absCBF.npy — absolute CBF map
<savedir>/curvefit.png — sampled voxel fits for QC

Parameters

YAML example

modules:
  - name: AbsCBF_T1Fit
    params:
      data_path: ./data/abs_input.npz
      data_key: frames
      TI_list: [200, 400, 600, 800, 1000]
      sel_index: [1,3,5,7,9]
      glo_index: [0,2,4,6,8]
      save_curves_every: 300