FIX: update boilerplate text

Author: mnoergaard

petprep/interfaces/reports.py

@@ -248,8 +248,8 @@ def _generate_segment(self):
 
 
 class AboutSummaryInputSpec(BaseInterfaceInputSpec):
-    version = Str(desc='FMRIPREP version')
-    command = Str(desc='FMRIPREP command')
+    version = Str(desc='PETPREP version')
+    command = Str(desc='PETPREP command')
     # Date not included - update timestamp only if version or command changes
 
 

petprep/workflows/base.py

@@ -24,7 +24,7 @@
 PETPrep base processing workflows
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. autofunction:: init_fmriprep_wf
+.. autofunction:: init_petprep_wf
 .. autofunction:: init_single_subject_wf
 
 """
@@ -58,8 +58,8 @@ def init_petprep_wf():
             :graph2use: orig
             :simple_form: yes
 
-            from fmriprep.workflows.tests import mock_config
-            from fmriprep.workflows.base import init_petprep_wf
+            from petrep.workflows.tests import mock_config
+            from petprep.workflows.base import init_petprep_wf
             with mock_config():
                 wf = init_petprep_wf()
 
@@ -126,8 +126,8 @@ def init_single_subject_wf(subject_id: str):
             :graph2use: orig
             :simple_form: yes
 
-            from fmriprep.workflows.tests import mock_config
-            from fmriprep.workflows.base import init_single_subject_wf
+            from petprep.workflows.tests import mock_config
+            from petprep.workflows.base import init_single_subject_wf
             with mock_config():
                 wf = init_single_subject_wf('01')
 
@@ -532,8 +532,28 @@ def init_single_subject_wf(subject_id: str):
 PET data preprocessing
 
 : For each of the {len(pet_runs)} PET runs found per subject (across all
-tasks and sessions), the following preprocessing was performed.
-"""
+tasks and sessions), the following preprocessing steps were performed. Robust head
+motion estimation and correction were carried out after generating a
+reference image, which was subsequently coregistered to the T1-weighted
+anatomical image. A brain mask was computed and the structural image was
+segmented with the ``{config.workflow.seg}`` segmentation workflow from FreeSurfer."""
+
+    if config.workflow.pvc_tool and config.workflow.pvc_method:
+        pet_pre_desc += (
+            f' Partial volume correction was applied using'
+            f' ``{config.workflow.pvc_tool}`` using the method'
+            f' ``{config.workflow.pvc_method}`` and with a PSF of'
+            f' {config.workflow.pvc_psf} mm.'
+        )
+
+    if config.workflow.ref_mask_name:
+        pet_pre_desc += (
+            f' A reference region mask for the ``{config.workflow.ref_mask_name}``'
+            ' was generated and the corresponding time-activity curve'
+            ' extracted.'
+        )
+
+    pet_pre_desc += '\n'
 
     for pet_series in pet_runs:
         pet_cache = {}