make a json for the merged dwis

qsiprep/interfaces/dwi_merge.py

@@ -48,14 +48,15 @@ class MergeDWIsInputSpec(BaseInterfaceInputSpec):
     carpetplot_data = InputMultiObject(
         File(exists=True), mandatory=False, desc="list of carpetplot_data files"
     )
+    scan_metadata = traits.Dict(desc="Dict of metadata for the to-be-combined scans")
 
 
 class MergeDWIsOutputSpec(TraitedSpec):
     out_dwi = File(desc="the merged dwi image")
     out_bval = File(desc="the merged bval file")
     out_bvec = File(desc="the merged bvec file")
     original_images = traits.List()
-    merged_metadata = traits.Dict()
+    merged_metadata = File(exists=True)
     merged_denoising_confounds = File(exists=True)
     merged_b0_ref = File(exists=True)
     merged_raw_dwi = File(exists=True, mandatory=False)
@@ -79,6 +80,17 @@ def _run_interface(self, runtime):
             self.inputs.harmonize_b0_intensities,
         )
 
+        # Create a merged metadata json file for
+        if isdefined(self.inputs.scan_metadata):
+            combined_metadata = combine_metadata(
+                self.inputs.dwi_files,
+                self.inputs.scan_metadata,
+            )
+            merged_metadata_file = op.join(runtime.cwd, "merged_metadata.json")
+            with open(merged_metadata_file, "w") as merged_meta_f:
+                json.dump(combined_metadata, merged_meta_f, indent=4)
+            self._results["merged_metadata"] = merged_metadata_file
+
         # Get basic qc / provenance per volume
         provenance_df = create_provenance_dataframe(
             self.inputs.bids_dwi_files, to_concat, b0_means, corrections
@@ -151,6 +163,16 @@ def _run_interface(self, runtime):
         return runtime
 
 
+def combine_metadata(scan_list, metadata_dict):
+    """Create a merged metadata dictionary.
+
+    Most importantly, combine the slice timings in some way. Here the slice
+    metadata is taken from the first scan.
+
+    """
+    return metadata_dict[scan_list[0]]
+
+
 class AveragePEPairsInputSpec(MergeDWIsInputSpec):
     original_bvec_files = InputMultiObject(
         File(exists=True), mandatory=True, desc="list of original bvec files"

qsiprep/interfaces/eddy.py

@@ -9,6 +9,7 @@
 """
 import os
 import os.path as op
+import json
 
 import nibabel as nb
 import numpy as np
@@ -45,6 +46,8 @@ class GatherEddyInputsInputSpec(BaseInterfaceInputSpec):
     topup_max_b0s_per_spec = traits.CInt(1, usedefault=True)
     topup_requested = traits.Bool(False, usedefault=True)
     raw_image_sdc = traits.Bool(True, usedefault=True)
+    eddy_config = File(exists=True, mandatory=True)
+    json_file = File(exists=True)
 
 
 class GatherEddyInputsOutputSpec(TraitedSpec):
@@ -60,6 +63,8 @@ class GatherEddyInputsOutputSpec(TraitedSpec):
     forward_transforms = traits.List()
     forward_warps = traits.List()
     topup_report = traits.Str(desc="description of where data came from")
+    json_file = File(exists=True)
+    multiband_factor = traits.Int()
 
 
 class GatherEddyInputs(SimpleInterface):
@@ -125,6 +130,21 @@ def _run_interface(self, runtime):
         # these have already had HMC, SDC applied
         self._results["forward_transforms"] = []
         self._results["forward_warps"] = []
+
+        # Based on the eddy config, determine whether to send a json argument
+        with open(self.inputs.eddy_config, "r") as eddy_cfg_f:
+            eddy_config = json.load(eddy_cfg_f)
+            # json file is only allowed if mporder is defined
+            if "mporder" in eddy_config:
+                self._results["json_file"] = self.inputs.json_file
+
+        #  Get the multiband factor from the json file and convert it to an arg
+        if isdefined(self.inputs.json_file):
+            with open(self.inputs.json_file) as json_f:
+                input_sidecar = json.load(json_f)
+            if "MultibandAccelerationFactor" in input_sidecar:
+                self._results["multiband_factor"] = input_sidecar["MultibandAccelerationFactor"]
+
         return runtime
 
 
@@ -241,6 +261,10 @@ def _format_arg(self, name, spec, value):
         if name == "field":
             pth, fname, _ = split_filename(value)
             return spec.argstr % op.join(pth, fname)
+        if name == "json":
+            if isdefined(self.inputs.mporder):
+                return spec.argstr % value
+            return ""
         return super(ExtendedEddy, self)._format_arg(name, spec, value)
 
 

qsiprep/workflows/dwi/base.py

@@ -426,6 +426,7 @@ def init_dwi_preproc_wf(
             ('outputnode.dwi_file', 'inputnode.dwi_file'),
             ('outputnode.bval_file', 'inputnode.bval_file'),
             ('outputnode.bvec_file', 'inputnode.bvec_file'),
+            ('outputnode.json_file', 'inputnode.json_file'),
             ('outputnode.original_files', 'inputnode.original_files')]),
         (inputnode, hmc_wf, [
             ('t1_brain', 'inputnode.t1_brain'),

qsiprep/workflows/dwi/fsl.py

@@ -91,6 +91,8 @@ def init_fsl_hmc_wf(
             bvec file
         bval_file: str
             bval file
+        json_file: str
+            path to sidecar json file for dwi_file
         b0_indices: list
             Indexes into ``dwi_files`` that correspond to b=0 volumes
         b0_images: list
@@ -116,6 +118,7 @@ def init_fsl_hmc_wf(
                 "dwi_file",
                 "bvec_file",
                 "bval_file",
+                "json_file",
                 "b0_indices",
                 "b0_images",
                 "original_files",
@@ -224,7 +227,9 @@ def init_fsl_hmc_wf(
             ('outputnode.ref_image_brain', 'dwi_file')]),
         (gather_inputs, eddy, [
             ('eddy_indices', 'in_index'),
-            ('eddy_acqp', 'in_acqp')]),
+            ('eddy_acqp', 'in_acqp'),
+            ('json_file', 'json'),
+            ('multiband_factor', 'multiband_factor')]),
         (inputnode, eddy, [
             ('dwi_file', 'in_file'),
             ('bval_file', 'in_bval'),

qsiprep/workflows/dwi/hmc_sdc.py

@@ -82,6 +82,7 @@ def init_qsiprep_hmcsdc_wf(
                 "dwi_file",
                 "bvec_file",
                 "bval_file",
+                "json_file",
                 "rpe_b0",
                 "t2w_unfatsat",
                 "original_files",

qsiprep/workflows/dwi/merge.py

@@ -18,6 +18,7 @@
 
 from ...engine import Workflow
 from ...interfaces import ConformDwi, DerivativesDataSink
+from ...interfaces.bids import get_metadata_for_nifti
 from ...interfaces.dipy import Patch2Self
 from ...interfaces.dwi_merge import MergeDWIs, PhaseToRad, StackConfounds
 from ...interfaces.gradients import ExtractB0s
@@ -117,6 +118,8 @@ def init_merge_and_denoise_wf(
             bvals from merged images
         merged_bvec
             bvecs from merged images
+        merged_json
+            JSON file containing slice timings for slice2vol
         noise_image
             image(s) created by ``dwidenoise``
         original_files
@@ -133,6 +136,7 @@ def init_merge_and_denoise_wf(
                 "merged_raw_image",
                 "merged_bval",
                 "merged_bvec",
+                "merged_json",
                 "noise_images",
                 "bias_images",
                 "denoising_confounds",
@@ -151,6 +155,7 @@ def init_merge_and_denoise_wf(
             bids_dwi_files=raw_dwi_files,
             b0_threshold=b0_threshold,
             harmonize_b0_intensities=not no_b0_harmonization,
+            scan_metadata={scan: get_metadata_for_nifti(scan) for scan in raw_dwi_files},
         ),
         name="merge_dwis",
         n_procs=omp_nthreads,
@@ -285,6 +290,7 @@ def init_merge_and_denoise_wf(
             ('original_images', 'original_files'),
             ('out_bval', 'merged_bval'),
             ('out_bvec', 'merged_bvec'),
+            ('merged_metadata', 'merged_json')
         ]),
     ])  # fmt:skip
 

qsiprep/workflows/dwi/pre_hmc.py

@@ -103,6 +103,8 @@ def init_dwi_pre_hmc_wf(
             a bvec file
         bval_file
             a bval files
+        sidecar_file
+            a json sidecar file for the scan data
         b0_indices
             list of the positions of the b0 images in the dwi series
         b0_images
@@ -121,6 +123,7 @@ def init_dwi_pre_hmc_wf(
                 "dwi_file",
                 "bval_file",
                 "bvec_file",
+                "json_file",
                 "original_files",
                 "denoising_confounds",
                 "noise_images",
@@ -296,6 +299,9 @@ def init_dwi_pre_hmc_wf(
             (pm_raw_images, raw_rpe_concat, [('out', 'in_files')]),
             (raw_rpe_concat, outputnode, [('out_file', 'raw_concatenated')]),
 
+            # Send the slice timings from "plus" to the next steps
+            (merge_plus, outputnode, [('outputnode.merged_json', 'json_file')]),
+
             # Connect to the QC calculator
             (raw_rpe_concat, qc_wf, [('out_file', 'inputnode.dwi_file')]),
             (rpe_concat, qc_wf, [
@@ -333,6 +339,7 @@ def init_dwi_pre_hmc_wf(
             ('outputnode.merged_image', 'dwi_file'),
             ('outputnode.merged_bval', 'bval_file'),
             ('outputnode.merged_bvec', 'bvec_file'),
+            ('outputnode.merged_json', 'json_file'),
             ('outputnode.bias_images', 'bias_images'),
             ('outputnode.noise_images', 'noise_images'),
             ('outputnode.validation_reports', 'validation_reports'),