AFQ.tasks.data

Module Contents

Functions

get_data_gtab(subses_dict, bval_file, bvec_file, b0_threshold, min_bval, max_bval, filter_b=True)

b0(subses_dict, data, gtab, img)

b0_mask(subses_dict, b0_file, brain_mask_file)

dti_fit(dti_params_file, gtab)

dti(subses_dict, dwi_affine, brain_mask_file, data, gtab, bval_file, bvec_file, b0_threshold, robust_tensor_fitting=False)

dki_fit(dki_params_file, gtab)

dki(subses_dict, dwi_affine, brain_mask_file, gtab, data)

csd(subses_dict, dwi_affine, brain_mask_file, gtab, data, tracking_params, csd_response=None, csd_sh_order=None, csd_lambda_=1, csd_tau=0.1)

anisotropic_power_map(subses_dict, csd_params_file)

dti_fa(subses_dict, dwi_affine, dti_params_file, dti_tf)

dti_cfa(subses_dict, dwi_affine, dti_params_file, dti_tf)

dti_pdd(subses_dict, dwi_affine, dti_params_file, dti_tf)

dti_md(subses_dict, dwi_affine, dti_params_file, dti_tf)

dti_ga(subses_dict, dwi_affine, dti_params_file, dti_tf)

dti_rd(subses_dict, dwi_affine, dti_params_file, dti_tf)

dti_ad(subses_dict, dwi_affine, dti_params_file, dti_tf)

dki_fa(subses_dict, dwi_affine, dki_params_file, dki_tf)

dki_md(subses_dict, dwi_affine, dki_params_file, dki_tf)

dki_awf(subses_dict, dwi_affine, dki_params_file, dki_tf, sphere='repulsion100', gtol=0.01)

dki_mk(subses_dict, dwi_affine, dki_params_file, dki_tf)

dki_ga(subses_dict, dwi_affine, dki_params_file, dki_tf)

dki_rd(subses_dict, dwi_affine, dki_params_file, dki_tf)

dki_ad(subses_dict, dwi_affine, dki_params_file, dki_tf)

dki_rk(subses_dict, dwi_affine, dki_params_file, dki_tf)

dki_ak(subses_dict, dwi_affine, dki_params_file, dki_tf)

get_data_plan(brain_mask_definition)

Attributes

DIPY_GH

outputs

dti_params

dki_params

csd_params

AFQ.tasks.data.DIPY_GH = https://github.com/dipy/dipy/blob/master/dipy/[source]
AFQ.tasks.data.outputs[source]
AFQ.tasks.data.get_data_gtab(subses_dict, bval_file, bvec_file, b0_threshold, min_bval, max_bval, filter_b=True)[source]
AFQ.tasks.data.b0(subses_dict, data, gtab, img)[source]
AFQ.tasks.data.b0_mask(subses_dict, b0_file, brain_mask_file)[source]
AFQ.tasks.data.dti_fit(dti_params_file, gtab)[source]
AFQ.tasks.data.dti(subses_dict, dwi_affine, brain_mask_file, data, gtab, bval_file, bvec_file, b0_threshold, robust_tensor_fitting=False)[source]
AFQ.tasks.data.dti_params[source]
AFQ.tasks.data.dki_fit(dki_params_file, gtab)[source]
AFQ.tasks.data.dki(subses_dict, dwi_affine, brain_mask_file, gtab, data)[source]
AFQ.tasks.data.dki_params[source]
AFQ.tasks.data.csd(subses_dict, dwi_affine, brain_mask_file, gtab, data, tracking_params, csd_response=None, csd_sh_order=None, csd_lambda_=1, csd_tau=0.1)[source]
AFQ.tasks.data.csd_params[source]
AFQ.tasks.data.anisotropic_power_map(subses_dict, csd_params_file)[source]
AFQ.tasks.data.dti_fa(subses_dict, dwi_affine, dti_params_file, dti_tf)[source]
AFQ.tasks.data.dti_cfa(subses_dict, dwi_affine, dti_params_file, dti_tf)[source]
AFQ.tasks.data.dti_pdd(subses_dict, dwi_affine, dti_params_file, dti_tf)[source]
AFQ.tasks.data.dti_md(subses_dict, dwi_affine, dti_params_file, dti_tf)[source]
AFQ.tasks.data.dti_ga(subses_dict, dwi_affine, dti_params_file, dti_tf)[source]
AFQ.tasks.data.dti_rd(subses_dict, dwi_affine, dti_params_file, dti_tf)[source]
AFQ.tasks.data.dti_ad(subses_dict, dwi_affine, dti_params_file, dti_tf)[source]
AFQ.tasks.data.dki_fa(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.dki_md(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.dki_awf(subses_dict, dwi_affine, dki_params_file, dki_tf, sphere='repulsion100', gtol=0.01)[source]
AFQ.tasks.data.dki_mk(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.dki_ga(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.dki_rd(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.dki_ad(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.dki_rk(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.dki_ak(subses_dict, dwi_affine, dki_params_file, dki_tf)[source]
AFQ.tasks.data.get_data_plan(brain_mask_definition)[source]