From aad7c6e89054d2fe6fdc14e9f7809583673b7482 Mon Sep 17 00:00:00 2001 From: daniel-rijsketic Date: Wed, 3 Jul 2024 11:10:28 -0600 Subject: [PATCH] make html --- .../docs/_build/doctrees/environment.pickle | Bin 5733772 -> 5739735 bytes .../doctrees/unravel/register/reg.doctree | Bin 17950 -> 20441 bytes .../_build/doctrees/unravel/warp/warp.doctree | Bin 13138 -> 13916 bytes .../_modules/unravel/image_tools/pad.html | 2 +- .../html/_modules/unravel/register/reg.html | 56 ++++++++++-------- .../html/_modules/unravel/warp/warp.html | 5 +- unravel/docs/_build/html/searchindex.js | 2 +- .../_build/html/unravel/register/reg.html | 29 +++++++-- .../_build/html/unravel/register/toc.html | 4 +- unravel/docs/_build/html/unravel/toc.html | 4 +- .../docs/_build/html/unravel/warp/warp.html | 6 +- 11 files changed, 73 insertions(+), 35 deletions(-) diff --git a/unravel/docs/_build/doctrees/environment.pickle b/unravel/docs/_build/doctrees/environment.pickle index 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         ort_code = nii_axis_codes(ref_nii)
         fixed_img_padded_nii = reorient_nii(fixed_img_padded_nii, ort_code, zero_origin=args.zero_origin, apply=False, form_code=1)
     else:
-        fixed_img_padded_nii = reorient_nii(fixed_img_padded_nii, nii_axis_codes(nii), zero_origin=True, apply=False, form_code=1)
+        fixed_img_padded_nii = reorient_nii(fixed_img_padded_nii, nii_axis_codes(nii), zero_origin=args.zero_origin, apply=False, form_code=1)
 
     if args.output is None:
         padded_img_path = args.input.replace('.nii.gz', '_pad.nii.gz')
diff --git a/unravel/docs/_build/html/_modules/unravel/register/reg.html b/unravel/docs/_build/html/_modules/unravel/register/reg.html
index c2dda782..eab3082e 100644
--- a/unravel/docs/_build/html/_modules/unravel/register/reg.html
+++ b/unravel/docs/_build/html/_modules/unravel/register/reg.html
@@ -354,9 +354,17 @@ 
Source code for unravel.register.reg
 """
 Use ``reg`` from UNRAVEL to register an average template brain/atlas to a resampled autofl brain. 
 
-Usage:
-------
-    reg -m <path/template.nii.gz> -bc -pad -sm 0.4 -ort <3 letter orientation code>
+Usage for tissue registration:
+------------------------------
+    reg -m <path/template.nii.gz> -bc -sm 0.4 -ort <3 letter orientation code>
+
+Usage for atlas to atlas registration:
+--------------------------------------
+    reg -m <path/atlas1.nii.gz> -f <path/atlas2.nii.gz> -m2 <path/atlas2.nii.gz>
+
+Usage for template to template registration:
+--------------------------------------------
+    reg -m <path/template1.nii.gz> -f <path/template2.nii.gz> -m2 <path/template2.nii.gz> -inp linear
 
 ort_code letter options: 
     - A/P=Anterior/Posterior
@@ -369,6 +377,10 @@ 
Source code for unravel.register.reg
 
 Next steps: 
     ``reg_check`` and ``vstats_prep``
+
+Note:
+    - Images in reg_inputs are not padded.
+    - Images in reg_outputs have 15% padding.
 """
 
 import argparse
@@ -408,14 +420,12 @@ 
Source code for unravel.register.reg
     parser.add_argument('-f', '--fixed_img', help='reg_inputs/autofl_50um_masked.nii.gz (from ``reg_prep``)', default="reg_inputs/autofl_50um_masked.nii.gz", action=SM)
     parser.add_argument('-mas', '--mask', help="Brain mask for bias correction. Default: reg_inputs/autofl_50um_brain_mask.nii.gz. or pass in None", default="reg_inputs/autofl_50um_brain_mask.nii.gz", action=SM)
     parser.add_argument('-ro', '--reg_outputs', help="Name of folder w/ outputs from ``reg`` (e.g., transforms). Default: reg_outputs", default="reg_outputs", action=SM)
-    parser.add_argument('-tp', '--tform_prefix', help='Prefix of transforms output from ants.registration. Default: ANTsPy_', default="ANTsPy_", action=SM)
     parser.add_argument('-bc', '--bias_correct', help='Perform N4 bias field correction. Default: False', action='store_true', default=False)
-    parser.add_argument('-pad', '--pad_img', help='If True, add 15 percent padding to image. Default: False', action='store_true', default=False)
     parser.add_argument('-sm', '--smooth', help='Sigma value for smoothing the fixed image. Default: 0 for no smoothing. Use 0.4 for autofl', default=0, type=float, action=SM)
     parser.add_argument('-ort', '--ort_code', help='3 letter orientation code of fixed image if not set in fixed_img (e.g., RAS)', action=SM)
-    parser.add_argument('-ia', '--init_align', help='Name of initially aligned image (moving reg input). Default: <moving_img>__initial_alignment_to_fixed_img.nii.gz' , default=None, action=SM)
+    parser.add_argument('-m2', '--moving_img2', help='path/atlas.nii.gz (outputs <reg_outputs>/<atlas>_in_tissue_space.nii.gz for checking reg; Default: /usr/local/unravel/atlases/gubra/gubra_ano_combined_25um.nii.gz)', default='/usr/local/unravel/atlases/gubra/gubra_ano_combined_25um.nii.gz', action=SM)
+    parser.add_argument('-inp', '--interpol', help='Interpolation method for warping -m2 to padded fixed img space (nearestNeighbor, multiLabel [default], linear, bSpline)', default="multiLabel", action=SM)
     parser.add_argument('-it', '--init_time', help='Time in seconds allowed for ``reg_affine_initializer`` to run. Default: 30' , default='30', type=str, action=SM)
-    parser.add_argument('-a', '--atlas', help='path/atlas.nii.gz (outputs <reg_outputs>/<atlas>_in_tissue_space.nii.gz for checking reg; Default: /usr/local/unravel/atlases/gubra/gubra_ano_combined_25um.nii.gz)', default='/usr/local/unravel/atlases/gubra/gubra_ano_combined_25um.nii.gz', action=SM)
     parser.add_argument('-v', '--verbose', help='Increase verbosity.', action='store_true', default=False)
     parser.epilog = __doc__
     return parser.parse_args()

@@ -490,10 +500,9 @@ 
Source code for unravel.register.reg
                 else:
                     fixed_img = fixed_img_nii.get_fdata(dtype=np.float32)
 
-                # Optionally pad the fixed image with 15% of voxels on all sides
-                if args.pad_img: 
-                    print(f'\n    Adding padding to the registration input\n')
-                    fixed_img = pad(fixed_img, pad_width=0.15)
+                # Pad the fixed image with 15% of voxels on all sides (keeps moving img in frame during initial alignment and avoids edge effects)
+                print(f'\n    Adding padding to the registration input\n')
+                fixed_img = pad(fixed_img, pad_width=0.15)
 
                 # Optionally smooth the fixed image (e.g., when it is an autofluorescence image)
                 if args.smooth > 0:
@@ -514,7 +523,7 @@ 
Source code for unravel.register.reg
                 nib.save(reg_inputs_fixed_img_nii, fixed_img_for_reg_path)
 
             # Generate the initial transform matrix for aligning the moving image to the fixed image
-            if not Path(reg_outputs_path, f"{args.tform_prefix}init_tform.mat").exists():
+            if not Path(reg_outputs_path, f"ANTsPy_init_tform.mat").exists():
 
                 # Check if required files exist
                 if not Path(fixed_img_for_reg_path).exists(): 
@@ -529,7 +538,7 @@ 
Source code for unravel.register.reg
                     'reg_affine_initializer', 
                     '-f', fixed_img_for_reg_path, 
                     '-m', args.moving_img, 
-                    '-o', str(Path(reg_outputs_path, f"{args.tform_prefix}init_tform.mat")), 
+                    '-o', str(Path(reg_outputs_path, f"ANTsPy_init_tform.mat")), 
                     '-t', args.init_time # Time in seconds allowed for this step. Increase time out duration if needed.
                 ]
 
@@ -538,10 +547,7 @@ 
Source code for unravel.register.reg
                     subprocess.run(command, stderr=devnull)
 
             # Perform initial approximate alignment of the moving image to the fixed image
-            if args.init_align: 
-                init_align_out = str(Path(reg_outputs_path, args.init_align))
-            else: 
-                init_align_out = str(Path(reg_outputs_path, str(Path(args.moving_img).name).replace(".nii.gz", "__initial_alignment_to_fixed_img.nii.gz")))
+            init_align_out = str(Path(reg_outputs_path, str(Path(args.moving_img).name).replace(".nii.gz", "__initial_alignment_to_fixed_img.nii.gz")))
             if not Path(init_align_out).exists():
                 print(f'\n    Applying the initial transform matrix to aligning the moving image to the fixed image \n')
                 fixed_image = ants.image_read(fixed_img_for_reg_path)
@@ -549,7 +555,7 @@ 
Source code for unravel.register.reg
                 transformed_image = ants.apply_transforms(
                     fixed=fixed_image,
                     moving=moving_image,
-                    transformlist=[str(Path(reg_outputs_path, f"{args.tform_prefix}init_tform.mat"))]
+                    transformlist=[str(Path(reg_outputs_path, f"ANTsPy_init_tform.mat"))]
                 )
                 ants.image_write(transformed_image, str(Path(reg_outputs_path, init_align_out)))
 
@@ -559,7 +565,7 @@ 
Source code for unravel.register.reg
 
                 # Perform registration (reg is a dict with multiple outputs)
                 print(f'\n    Running registration \n')
-                output_prefix = str(Path(reg_outputs_path, args.tform_prefix))
+                output_prefix = str(Path(reg_outputs_path, "ANTsPy_"))
                 reg = ants.registration(
                     fixed=fixed_image,  # e.g., fixed autofluo image
                     moving=transformed_image,  # e.g., the initially aligned moving image (e.g., template)
@@ -573,19 +579,19 @@ 
Source code for unravel.register.reg
                 )
 
                 # Save the warped moving image output
-                ants.image_write(reg['warpedmovout'], output)
+                ants.image_write(reg['warpedmovout'], output)  # The interpolation method is not NN or multiLabel
                 print(f"\nTransformed moving image saved to: \n{output}")
 
-                # Save the warped fixed image output
+                # Save the warped fixed image output (optional)
                 # warpedfixout = str(Path(reg_outputs_path, str(Path(args.fixed_img).name).replace(".nii.gz", "__warped_to_moving_image.nii.gz")))
                 # ants.image_write(reg['warpedfixout'], warpedfixout)
                 # print(f"\nTransformed fixed image saved to: \n{warpedfixout}")
 
-            # Warp the atlas image to the tissue image for checking registration
-            warped_atlas = str(Path(reg_outputs_path, str(Path(args.atlas).name).replace(".nii.gz", "_in_tissue_space.nii.gz")))
+            # Warp the atlas image to the tissue image for checking reg (naming prioritizes the common usage)
+            warped_atlas = str(Path(reg_outputs_path, str(Path(args.moving_img2).name).replace(".nii.gz", "_in_tissue_space.nii.gz")))
             if not Path(warped_atlas).exists():
-                print(f'\n    Warping the atlas image to the tissue image for checking registration \n')
-                warp(reg_outputs_path, args.atlas, fixed_img_for_reg_path, warped_atlas, inverse=False, interpol='multiLabel')
+                print(f'\n    Warping the atlas to padded fixed image space for checking reg: reg_outputs/<atlas>_in_tissue_space.nii.gz\n')
+                warp(reg_outputs_path, args.moving_img2, fixed_img_for_reg_path, warped_atlas, inverse=False, interpol=args.interpol)
 
             progress.update(task_id, advance=1)
 
diff --git a/unravel/docs/_build/html/_modules/unravel/warp/warp.html b/unravel/docs/_build/html/_modules/unravel/warp/warp.html
index 35105208..ba0d1e33 100644
--- a/unravel/docs/_build/html/_modules/unravel/warp/warp.html
+++ b/unravel/docs/_build/html/_modules/unravel/warp/warp.html
@@ -364,6 +364,9 @@ 
Source code for unravel.warp.warp
 
 Prereq: 
     ``reg``
+
+Note: 
+    This warps padded images in ./reg_outputs (i.e., images that match the padded fixed reg input). For unpadded final images, use ``warp_to_fixed`` and ``warp_to_atlas``.
 """
 
 import ants
@@ -403,7 +406,7 @@ 
Source code for unravel.warp.warp
     Applies the transformations to an image using ANTsPy.
 
     Parameters:
-    reg_outputs_path (str): Path to the reg_outputs folder (contains transformation files)
+    reg_outputs_path (Path): Path to the reg_outputs folder (contains transformation files)
     moving_img_path (str): Path to the image to be transformed.
     fixed_img_path (str): Path to the reference image for applying the transform.
     output_path (str): Path where the transformed image will be saved.
diff --git a/unravel/docs/_build/html/searchindex.js b/unravel/docs/_build/html/searchindex.js
index 8e745887..7eed6882 100644
--- a/unravel/docs/_build/html/searchindex.js
+++ b/unravel/docs/_build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"3 letter orientation code": [[0, null]], "Add images to sample?? dirs": [[0, "add-images-to-sample-dirs"]], "Additional contributions from": [[1, "additional-contributions-from"]], "All commands": [[0, null]], "Allen brain atlas coloring": [[0, null]], "Analysis steps": [[0, "analysis-steps"]], "Automatic logging of scripts": [[0, null]], "Back up raw data": [[0, "back-up-raw-data"]], "Background subtraction": [[0, null]], "Batch stitching settings": [[0, null]], "CLI usage:": [[96, "cli-usage"]], "Checking changes between versions": [[2, null]], "Cluster correction": [[0, "cluster-correction"]], "Cluster validation": [[0, "cluster-validation"]], "Common commands": [[0, "common-commands"]], "Contact us": [[1, "contact-us"]], "Contents:": [[1, null]], "Data can be distributed across multiple drives": [[0, null]], "Define common variables in a shell script": [[0, "define-common-variables-in-a-shell-script"]], "Developers": [[1, "developers"]], "Edit .bashrc or .zshrc to set up dependencies": [[2, "edit-bashrc-or-zshrc-to-set-up-dependencies"]], "Example experiment folder structure after analysis": [[0, "example-experiment-folder-structure-after-analysis"]], "Example sample?? folder structure after analysis": [[0, "example-sample-folder-structure-after-analysis"]], "Get started with analysis": [[2, "get-started-with-analysis"]], "Getting started": [[1, "getting-started"]], "Guide": [[0, "guide"]], "Help on commands": [[0, "help-on-commands"]], "Helper Functions:": [[28, "helper-functions"]], "If sample orientations vary": [[0, null]], "Indices": [[1, "indices"]], "Installation": [[2, "installation"]], "Installing UNRAVEL on Linux or WSL": [[2, "installing-unravel-on-linux-or-wsl"]], "Listing commands": [[0, "listing-commands"]], "Log exp paths, commands, etc.": [[0, "log-exp-paths-commands-etc"]], "Main Functions:": [[28, "main-functions"]], "Main dependencies": [[1, "main-dependencies"]], "Make a sample_key.csv:": [[0, "make-a-sample-key-csv"]], "Make an exp_notes.txt": [[0, null]], "Make sample folders": [[0, "make-sample-folders"]], "Module contents": [[75, "module-contents"]], "More info on commands": [[0, null]], "Name sample folders like sample01, sample02, \u2026": [[0, null]], "Note x/y and z voxel sizes": [[0, "note-x-y-and-z-voxel-sizes"]], "Open source options for stitching": [[0, null]], "Optional: clean tifs": [[0, "optional-clean-tifs"]], "Optional: editable installation of UNRAVEL": [[2, "optional-editable-installation-of-unravel"]], "Overview and steps for voxel-wise stats": [[0, null]], "Please note the version of UNRAVEL you are using for reproducibility.": [[2, null]], "Python usage:": [[65, "python-usage"], [96, "python-usage"]], "Region-wise stats": [[0, "region-wise-stats"]], "Registration": [[0, "registration"]], "Running batch stitching": [[0, null]], "Segmentation": [[0, "segmentation"]], "Set up": [[0, "set-up"]], "Setting Up Windows Subsystem for Linux (WSL)": [[2, "setting-up-windows-subsystem-for-linux-wsl"]], "Sorting by hierarchy and volume:": [[23, "sorting-by-hierarchy-and-volume"]], "Stitch z-stacks": [[0, "stitch-z-stacks"]], "Subpackages": [[75, "subpackages"]], "Support is welcome for": [[1, "support-is-welcome-for"]], "Syntax": [[0, null]], "T-test usage:": [[20, "t-test-usage"]], "TL;DR": [[2, "tl-dr"]], "Todo": [[0, "id1"], [0, "id2"], [0, "id5"], [2, "id1"]], "Train an Ilastik project": [[0, "train-an-ilastik-project"], [0, null]], "Tukey\u2019s test usage:": [[20, "tukey-s-test-usage"]], "Typical workflow": [[0, "typical-workflow"]], "UN-biased high-Resolution Analysis and Validation of Ensembles using Light sheet images": [[1, "un-biased-high-resolution-analysis-and-validation-of-ensembles-using-light-sheet-images"]], "UNRAVEL visualizer": [[1, "unravel-visualizer"]], "Updating UNRAVEL": [[2, "updating-unravel"]], "Usage": [[3, "usage"], [6, "usage"], [7, "usage"], [9, "usage"], [11, "usage"], [12, "usage"], [13, "usage"], [14, "usage"], [15, "usage"], [17, "usage"], [18, "usage"], [19, "usage"], [61, "usage"]], "Usage for Tukey\u2019s tests w/ reordering and renaming of conditions:": [[62, "usage-for-tukey-s-tests-w-reordering-and-renaming-of-conditions"]], "Usage for activating sample?? dirs for certain conditions:": [[83, "usage-for-activating-sample-dirs-for-certain-conditions"]], "Usage for forward warping atlas to tissue space:": [[98, "usage-for-forward-warping-atlas-to-tissue-space"]], "Usage for inverse warping tissue to atlas space:": [[98, "usage-for-inverse-warping-tissue-to-atlas-space"]], "Usage for printing all non-zero intensities:": [[58, "usage-for-printing-all-non-zero-intensities"]], "Usage for printing the number of voxels for each intensity that is present:": [[58, "usage-for-printing-the-number-of-voxels-for-each-intensity-that-is-present"]], "Usage for printing unique intensities w/ a min cluster size > 100 voxels:": [[58, "usage-for-printing-unique-intensities-w-a-min-cluster-size-100-voxels"]], "Usage for renaming directories:": [[81, "usage-for-renaming-directories"]], "Usage for renaming files:": [[81, "usage-for-renaming-files"]], "Usage for t-tests:": [[62, "usage-for-t-tests"]], "Usage for toggling all sample?? dirs to active:": [[83, "usage-for-toggling-all-sample-dirs-to-active"]], "Usage for when metadata is extractable:": [[36, "usage-for-when-metadata-is-extractable"]], "Usage for when metadata is not extractable:": [[36, "usage-for-when-metadata-is-not-extractable"]], "Usage for when sample?? is already in the name of files being copied:": [[77, "usage-for-when-sample-is-already-in-the-name-of-files-being-copied"]], "Usage for z-score scaling (if 8 bit is needed):": [[35, "usage-for-z-score-scaling-if-8-bit-is-needed"]], "Usage if running after cluster_validation and cluster_org_data:": [[4, "usage-if-running-after-cluster-validation-and-cluster-org-data"]], "Usage if running directly after cluster_validation:": [[4, "usage-if-running-directly-after-cluster-validation"]], "Usage if the atlas is already in native space from warp_to_native:": [[59, "usage-if-the-atlas-is-already-in-native-space-from-warp-to-native"]], "Usage if the native atlas is not available; it is not saved (faster):": [[59, "usage-if-the-native-atlas-is-not-available-it-is-not-saved-faster"]], "Usage to prep for seg_brain_mask:": [[72, "usage-to-prep-for-seg-brain-mask"]], "Usage to prep for seg_ilastik to segment full resolution immunofluorescence images:": [[72, "usage-to-prep-for-seg-ilastik-to-segment-full-resolution-immunofluorescence-images"]], "Usage to prepend sample?? to the name of files being copied:": [[77, "usage-to-prepend-sample-to-the-name-of-files-being-copied"]], "Usage to print all commands and module names:": [[76, "usage-to-print-all-commands-and-module-names"]], "Usage to print common commands and descriptions:": [[76, "usage-to-print-common-commands-and-descriptions"]], "Usage to replace voxels in image with the mean intensity in the brain where mask > 0:": [[84, "usage-to-replace-voxels-in-image-with-the-mean-intensity-in-the-brain-where-mask-0"]], "Usage to zero out voxels in image where mask < 1 (e.g., to preserve signal from segmented microglia clusters):": [[84, "usage-to-zero-out-voxels-in-image-where-mask-1-e-g-to-preserve-signal-from-segmented-microglia-clusters"]], "Usage to zero out voxels in image where mask > 0 (e.g., to exclude voxels representing artifacts):": [[84, "usage-to-zero-out-voxels-in-image-where-mask-0-e-g-to-exclude-voxels-representing-artifacts"]], "Usage w/ a tissue mask (warped to atlas space):": [[94, "usage-w-a-tissue-mask-warped-to-atlas-space"]], "Usage w/ additional options:": [[91, "usage-w-additional-options"]], "Usage w/ an atlas mask (warped to atlas space):": [[94, "usage-w-an-atlas-mask-warped-to-atlas-space"]], "Usage w/ both masks for side-specific z-scoring:": [[94, "usage-w-both-masks-for-side-specific-z-scoring"]], "Usage with a custom atlas:": [[62, "usage-with-a-custom-atlas"]], "Usage:": [[5, "usage"], [16, "usage"], [21, "usage"], [22, "usage"], [23, "usage"], [32, "usage"], [33, "usage"], [34, "usage"], [35, "usage"], [37, "usage"], [38, "usage"], [39, "usage"], [40, "usage"], [41, "usage"], [42, "usage"], [44, "usage"], [45, "usage"], [46, "usage"], [48, "usage"], [49, "usage"], [50, "usage"], [52, "usage"], [53, "usage"], [54, "usage"], [55, "usage"], [57, "usage"], [60, "usage"], [63, "usage"], [65, "usage"], [66, "usage"], [67, "usage"], [68, "usage"], [69, "usage"], [71, "usage"], [73, "usage"], [78, "usage"], [79, "usage"], [80, "usage"], [85, "usage"], [86, "usage"], [87, "usage"], [88, "usage"], [91, "usage"], [92, "usage"], [93, "usage"], [95, "usage"]], "Voxel-wise stats": [[0, "voxel-wise-stats"]], "cluster_fdr": [[0, "cluster-fdr"]], "cluster_fdr_range": [[0, "cluster-fdr-range"]], "cluster_mirror_indices": [[0, "cluster-mirror-indices"]], "cluster_summary": [[0, "cluster-summary"]], "cluster_validation": [[0, "id4"]], "env_var.sh": [[0, null]], "img_avg": [[0, "img-avg"]], "reg": [[0, "reg"]], "reg_check": [[0, "reg-check"]], "reg_prep": [[0, "reg-prep"]], "rstats": [[0, "rstats"]], "rstats_summary": [[0, "rstats-summary"]], "seg_brain_mask": [[0, "seg-brain-mask"]], "seg_copy_tifs": [[0, "seg-copy-tifs"], [0, "id3"]], "seg_ilastik": [[0, "seg-ilastik"]], "unravel package": [[75, "unravel-package"]], "unravel.cluster_stats package": [[24, "unravel-cluster-stats-package"]], "unravel.cluster_stats.brain_model module": [[3, "module-unravel.cluster_stats.brain_model"]], "unravel.cluster_stats.cluster_summary module": [[4, "module-unravel.cluster_stats.cluster_summary"]], "unravel.cluster_stats.cluster_validation module": [[5, "module-unravel.cluster_stats.cluster_validation"]], "unravel.cluster_stats.crop module": [[6, "module-unravel.cluster_stats.crop"]], "unravel.cluster_stats.effect_sizes package": [[10, "unravel-cluster-stats-effect-sizes-package"]], "unravel.cluster_stats.effect_sizes.effect_sizes module": [[7, "module-unravel.cluster_stats.effect_sizes.effect_sizes"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute module": [[8, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__absolute"]], "unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative module": [[9, "module-unravel.cluster_stats.effect_sizes.effect_sizes_by_sex__relative"]], "unravel.cluster_stats.fdr module": [[11, "module-unravel.cluster_stats.fdr"]], "unravel.cluster_stats.fdr_range module": [[12, "module-unravel.cluster_stats.fdr_range"]], "unravel.cluster_stats.find_incongruent_clusters module": [[13, "module-unravel.cluster_stats.find_incongruent_clusters"]], "unravel.cluster_stats.group_bilateral_data module": [[14, "module-unravel.cluster_stats.group_bilateral_data"]], "unravel.cluster_stats.index module": [[15, "module-unravel.cluster_stats.index"]], "unravel.cluster_stats.legend module": [[16, "module-unravel.cluster_stats.legend"]], "unravel.cluster_stats.org_data module": [[17, "module-unravel.cluster_stats.org_data"]], "unravel.cluster_stats.prism module": [[18, "module-unravel.cluster_stats.prism"]], "unravel.cluster_stats.recursively_mirror_rev_cluster_indices module": [[19, "module-unravel.cluster_stats.recursively_mirror_rev_cluster_indices"]], "unravel.cluster_stats.stats module": [[20, "module-unravel.cluster_stats.stats"]], "unravel.cluster_stats.stats_table module": [[21, "module-unravel.cluster_stats.stats_table"]], "unravel.cluster_stats.sunburst module": [[22, "module-unravel.cluster_stats.sunburst"]], "unravel.cluster_stats.table module": [[23, "module-unravel.cluster_stats.table"]], "unravel.core package": [[30, "unravel-core-package"]], "unravel.core.argparse_utils module": [[25, "module-unravel.core.argparse_utils"]], "unravel.core.argparse_utils_rich module": [[26, "module-unravel.core.argparse_utils_rich"]], "unravel.core.config module": [[27, "module-unravel.core.config"]], "unravel.core.img_io module": [[28, "module-unravel.core.img_io"]], "unravel.core.img_tools module": [[29, "module-unravel.core.img_tools"]], "unravel.core.utils module": [[31, "module-unravel.core.utils"]], "unravel.image_io package": [[43, "unravel-image-io-package"]], "unravel.image_io.h5_to_tifs module": [[32, "module-unravel.image_io.h5_to_tifs"]], "unravel.image_io.img_to_npy module": [[33, "module-unravel.image_io.img_to_npy"]], "unravel.image_io.io_img module": [[34, "module-unravel.image_io.io_img"]], "unravel.image_io.io_nii module": [[35, "module-unravel.image_io.io_nii"]], "unravel.image_io.metadata module": [[36, "module-unravel.image_io.metadata"]], "unravel.image_io.nii_hd module": [[37, "module-unravel.image_io.nii_hd"]], "unravel.image_io.nii_info module": [[38, "module-unravel.image_io.nii_info"]], "unravel.image_io.nii_to_tifs module": [[39, "module-unravel.image_io.nii_to_tifs"]], "unravel.image_io.nii_to_zarr module": [[40, "module-unravel.image_io.nii_to_zarr"]], "unravel.image_io.reorient_nii module": [[41, "module-unravel.image_io.reorient_nii"]], "unravel.image_io.tif_to_tifs module": [[42, "module-unravel.image_io.tif_to_tifs"]], "unravel.image_io.zarr_to_nii module": [[44, "module-unravel.image_io.zarr_to_nii"]], "unravel.image_tools package": [[56, "unravel-image-tools-package"]], "unravel.image_tools.DoG module": [[45, "module-unravel.image_tools.DoG"]], "unravel.image_tools.atlas package": [[47, "unravel-image-tools-atlas-package"]], "unravel.image_tools.atlas.relabel_nii module": [[46, "module-unravel.image_tools.atlas.relabel_nii"]], "unravel.image_tools.atlas.wireframe module": [[48, "module-unravel.image_tools.atlas.wireframe"]], "unravel.image_tools.avg module": [[49, "module-unravel.image_tools.avg"]], "unravel.image_tools.bbox module": [[50, "module-unravel.image_tools.bbox"]], "unravel.image_tools.extend module": [[51, "module-unravel.image_tools.extend"]], "unravel.image_tools.max module": [[52, "module-unravel.image_tools.max"]], "unravel.image_tools.pad module": [[53, "module-unravel.image_tools.pad"]], "unravel.image_tools.rb module": [[54, "module-unravel.image_tools.rb"]], "unravel.image_tools.spatial_averaging module": [[55, "module-unravel.image_tools.spatial_averaging"]], "unravel.image_tools.transpose_axes module": [[57, "module-unravel.image_tools.transpose_axes"]], "unravel.image_tools.unique_intensities module": [[58, "module-unravel.image_tools.unique_intensities"]], "unravel.region_stats package": [[64, "unravel-region-stats-package"]], "unravel.region_stats.rstats module": [[59, "module-unravel.region_stats.rstats"]], "unravel.region_stats.rstats_mean_IF module": [[60, "module-unravel.region_stats.rstats_mean_IF"]], "unravel.region_stats.rstats_mean_IF_in_segmented_voxels module": [[61, "module-unravel.region_stats.rstats_mean_IF_in_segmented_voxels"]], 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\ No newline at end of file
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"unravel.image_tools package", "unravel.image_tools.transpose_axes module", "unravel.image_tools.unique_intensities module", "unravel.region_stats.rstats module", "unravel.region_stats.rstats_mean_IF module", "unravel.region_stats.rstats_mean_IF_in_segmented_voxels module", "unravel.region_stats.rstats_mean_IF_summary module", "unravel.region_stats.rstats_summary module", "unravel.region_stats package", "unravel.register.affine_initializer module", "unravel.register.reg module", "unravel.register.reg_check module", "unravel.register.reg_check_brain_mask module", "unravel.register.reg_prep module", "unravel.register package", "unravel.segment.brain_mask module", "unravel.segment.copy_tifs module", "unravel.segment.ilastik_pixel_classification module", "unravel.segment package", "unravel package", "unravel.unravel_commands module", "unravel.utilities.aggregate_files_from_sample_dirs module", "unravel.utilities.aggregate_files_recursively module", "unravel.utilities.clean_tif_dirs 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"org_data": 17, "orient": 0, "other": [87, 88, 89], "out": 84, "overview": 0, "packag": [10, 24, 30, 43, 47, 56, 64, 70, 74, 75, 82, 89, 90, 97], "pad": 53, "path": 0, "pleas": 2, "prep": 72, "prepend": 77, "prepend_condit": 80, "present": 58, "preserv": 84, "print": [58, 76], "prism": 18, "project": 0, "python": [65, 96], "r_to_p": 88, "raw": 0, "rb": 54, "recursively_mirror_rev_cluster_indic": 19, "reg": [0, 66], "reg_check": [0, 67], "reg_check_brain_mask": 68, "reg_prep": [0, 69], "region": 0, "region_stat": [59, 60, 61, 62, 63, 64], "regist": [65, 66, 67, 68, 69, 70], "registr": [0, 66], "relabel_nii": 46, "renam": [62, 81], "reorder": 62, "reorient_nii": 41, "replac": 84, "repres": 84, "reproduc": 2, "resolut": [1, 72], "rstat": [0, 59], "rstats_mean_if": 60, "rstats_mean_if_in_segmented_voxel": 61, "rstats_mean_if_summari": 62, "rstats_summari": [0, 63], "run": [0, 4], "sampl": [0, 77, 83], "sample01": 0, "sample02": 0, "sample_kei": 0, "save": 59, "scale": 35, "score": [35, 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"welcom": 1, "when": [36, 77], "where": 84, "whole_to_lr_avg": 93, "window": 2, "wirefram": 48, "wise": 0, "workflow": 0, "wsl": 2, "x": 0, "y": 0, "you": 2, "z": [0, 35, 94], "z_score": 94, "zarr_to_nii": 44, "zero": [58, 84], "zshrc": 2}})
\ No newline at end of file
diff --git a/unravel/docs/_build/html/unravel/register/reg.html b/unravel/docs/_build/html/unravel/register/reg.html
index f3ecf9f9..3fd04f81 100644
--- a/unravel/docs/_build/html/unravel/register/reg.html
+++ b/unravel/docs/_build/html/unravel/register/reg.html
@@ -489,10 +489,22 @@
   

 
unravel.register.reg module#

 
Use reg from UNRAVEL to register an average template brain/atlas to a resampled autofl brain.

-

-
Usage:#

+

+
Usage for tissue registration:#

 

-
reg -m <path/template.nii.gz> -bc -pad -sm 0.4 -ort <3 letter orientation code>

+
reg -m <path/template.nii.gz> -bc -sm 0.4 -ort <3 letter orientation code>

+

+

+

+
Usage for atlas to atlas registration:#

+

+
reg -m <path/atlas1.nii.gz> -f <path/atlas2.nii.gz> -m2 <path/atlas2.nii.gz>

+

+

+

+
Usage for template to template registration:#

+

+
reg -m <path/template1.nii.gz> -f <path/template2.nii.gz> -m2 <path/template2.nii.gz> -inp linear

 

 

 
ort_code letter options:
    
@@ -507,6 +519,13 @@ 
    Usage:#
 
    Next steps:
    reg_check and vstats_prep
    
 
    
 

+

+
Note

+
    
+
  • Images in reg_inputs are not padded.
    • 
+
  • Images in reg_outputs have 15% padding.
    • 
+

+

 

 

 

@@ -583,7 +602,9 @@ 
Usage:#

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