From f9805b0eff4f2cee02e459dc8e6e4ca0c0d872fa Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Wed, 10 Apr 2024 16:15:22 -0400 Subject: [PATCH 01/16] Add adaptive mask plot to report. --- .../data/html/report_body_template.html | 6 ++ tedana/reporting/html_report.py | 4 ++ tedana/reporting/static_figures.py | 60 +++++++++++++++++++ tedana/workflows/tedana.py | 10 +++- 4 files changed, 78 insertions(+), 2 deletions(-) diff --git a/tedana/reporting/data/html/report_body_template.html b/tedana/reporting/data/html/report_body_template.html index 008713715..b2c8c2e7e 100644 --- a/tedana/reporting/data/html/report_body_template.html +++ b/tedana/reporting/data/html/report_body_template.html @@ -180,6 +180,12 @@

Carpet plots

+
+

Adaptive mask

+
+ +
+

T2* and S0

T2*

diff --git a/tedana/reporting/html_report.py b/tedana/reporting/html_report.py index 519aefe50..8f01263f5 100644 --- a/tedana/reporting/html_report.py +++ b/tedana/reporting/html_report.py @@ -143,6 +143,9 @@ def _update_template_bokeh(bokeh_id, info_table, about, prefix, references, boke # Initial carpet plot (default one) initial_carpet = f"./figures/{prefix}carpet_optcom.svg" + # Adaptive mask image + adaptive_mask = f"./figures/{prefix}adaptive_mask.svg" + # T2* and S0 images t2star_brain = f"./figures/{prefix}t2star_brain.svg" t2star_histogram = f"./figures/{prefix}t2star_histogram.svg" @@ -165,6 +168,7 @@ def _update_template_bokeh(bokeh_id, info_table, about, prefix, references, boke about=about, prefix=prefix, initialCarpet=initial_carpet, + adaptiveMask=adaptive_mask, t2starBrainPlot=t2star_brain, t2starHistogram=t2star_histogram, s0BrainPlot=s0_brain, diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index d9b9abdaa..c6f93a0ac 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -616,3 +616,63 @@ def plot_t2star_and_s0( annotate=False, output_file=os.path.join(io_generator.out_dir, "figures", s0_plot), ) + + +def plot_adaptive_mask( + *, + optcom: np.ndarray, + base_mask: np.ndarray, + io_generator: io.OutputGenerator, +): + """Create a figure to show the adaptive mask. + + Parameters + ---------- + optcom : (S x T) :obj:`numpy.ndarray` + Optimal combination of components + base_mask : (S,) :obj:`numpy.ndarray` + Base mask used in tedana + io_generator : :obj:`~tedana.io.OutputGenerator` + The output generator for this workflow + """ + from matplotlib.lines import Line2D + from nilearn import image + + adaptive_mask_img = io_generator.get_name("adaptive mask img") + mean_optcom_img = io.new_nii_like(io_generator.reference_img, np.mean(optcom, axis=1)) + + # Concatenate the three masks used in tedana to treat as a probabilistic atlas + base_mask = io.new_nii_like(io_generator.reference_img, base_mask) + mask_denoise = image.math_img("(img >= 1).astype(np.uint8)", img=adaptive_mask_img) + mask_clf = image.math_img("(img >= 3).astype(np.uint8)", img=adaptive_mask_img) + all_masks = image.concat_imgs((base_mask, mask_denoise, mask_clf)) + # Set values to 0.5 for probabilistic atlas plotting + all_masks = image.math_img("img * 0.5", img=all_masks) + + cmap = plt.cm.gist_rainbow + discrete_cmap = cmap.resampled(3) # colors matching the mask lines in the image + color_dict = { + "Base": discrete_cmap(0), + "Optimal combination": discrete_cmap(0.4), + "Classification": discrete_cmap(0.9), + } + + ob = plotting.plot_prob_atlas( + maps_img=all_masks, + bg_img=mean_optcom_img, + view_type="contours", + threshold=0.2, + annotate=False, + draw_cross=False, + cmap=cmap, + ) + + legend_elements = [] + for k, v in color_dict.items(): + line = Line2D([0], [0], color=v, label=k, markersize=10) + legend_elements.append(line) + + ob.frame_axes.legend(handles=legend_elements, facecolor="white", ncols=3, loc="lower center") + fig = ob.frame_axes.get_figure() + adaptive_mask_plot = f"{io_generator.prefix}adaptive_mask.svg" + fig.savefig(adaptive_mask_plot) diff --git a/tedana/workflows/tedana.py b/tedana/workflows/tedana.py index 79f61ff13..3a315c97f 100644 --- a/tedana/workflows/tedana.py +++ b/tedana/workflows/tedana.py @@ -595,12 +595,13 @@ def tedana_workflow( t2s_limited_sec = utils.reshape_niimg(t2smap) t2s_limited = utils.sec2millisec(t2s_limited_sec) t2s_full = t2s_limited.copy() - mask = utils.reshape_niimg(mask) + mask = utils.reshape_niimg(mask).astype(int) mask[t2s_limited == 0] = 0 # reduce mask based on T2* map else: LGR.info("Computing EPI mask from first echo") first_echo_img = io.new_nii_like(io_generator.reference_img, catd[:, 0, :]) - mask = compute_epi_mask(first_echo_img) + mask = compute_epi_mask(first_echo_img).get_fdata() + mask = utils.reshape_niimg(mask).astype(int) RepLGR.info( "An initial mask was generated from the first echo using " "nilearn's compute_epi_mask function." @@ -899,6 +900,11 @@ def tedana_workflow( dn_ts, hikts, lowkts = io.denoise_ts(data_oc, mmix, mask_denoise, comptable) + reporting.static_figures.plot_adaptive_mask( + optcom=data_oc, + base_mask=mask, + io_generator=io_generator, + ) reporting.static_figures.carpet_plot( optcom_ts=data_oc, denoised_ts=dn_ts, From c81c971f4b3e9babe629e180fec63d4fac27cd33 Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Wed, 10 Apr 2024 16:25:58 -0400 Subject: [PATCH 02/16] Whoops. --- tedana/reporting/static_figures.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index c6f93a0ac..54a02540b 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -675,4 +675,4 @@ def plot_adaptive_mask( ob.frame_axes.legend(handles=legend_elements, facecolor="white", ncols=3, loc="lower center") fig = ob.frame_axes.get_figure() adaptive_mask_plot = f"{io_generator.prefix}adaptive_mask.svg" - fig.savefig(adaptive_mask_plot) + fig.savefig(os.path.join(io_generator.out_dir, "figures", adaptive_mask_plot)) From d30ca553092b295bfbb48ecd655d0f89b477c3de Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Wed, 10 Apr 2024 16:55:41 -0400 Subject: [PATCH 03/16] Update expected outputs. --- tedana/tests/data/cornell_three_echo_outputs.txt | 1 + tedana/tests/data/fiu_four_echo_outputs.txt | 1 + tedana/tests/data/nih_five_echo_outputs_verbose.txt | 1 + 3 files changed, 3 insertions(+) diff --git a/tedana/tests/data/cornell_three_echo_outputs.txt b/tedana/tests/data/cornell_three_echo_outputs.txt index 44a6e660f..5c1d538dd 100644 --- a/tedana/tests/data/cornell_three_echo_outputs.txt +++ b/tedana/tests/data/cornell_three_echo_outputs.txt @@ -23,6 +23,7 @@ desc-adaptiveGoodSignal_mask.nii.gz desc-denoised_bold.nii.gz desc-optcom_bold.nii.gz figures +figures/adaptive_mask.svg figures/carpet_optcom.svg figures/carpet_denoised.svg figures/carpet_accepted.svg diff --git a/tedana/tests/data/fiu_four_echo_outputs.txt b/tedana/tests/data/fiu_four_echo_outputs.txt index 221bc66e7..0da67ba15 100644 --- a/tedana/tests/data/fiu_four_echo_outputs.txt +++ b/tedana/tests/data/fiu_four_echo_outputs.txt @@ -61,6 +61,7 @@ sub-01_echo-4_desc-Rejected_bold.nii.gz sub-01_report.txt sub-01_tedana_report.html figures +figures/sub-01_adaptive_mask.svg figures/sub-01_carpet_optcom.svg figures/sub-01_carpet_denoised.svg figures/sub-01_carpet_accepted.svg diff --git a/tedana/tests/data/nih_five_echo_outputs_verbose.txt b/tedana/tests/data/nih_five_echo_outputs_verbose.txt index 9c86dee80..613690c77 100644 --- a/tedana/tests/data/nih_five_echo_outputs_verbose.txt +++ b/tedana/tests/data/nih_five_echo_outputs_verbose.txt @@ -82,6 +82,7 @@ sub-01_references.bib sub-01_report.txt sub-01_tedana_report.html figures +figures/sub-01_adaptive_mask.svg figures/sub-01_carpet_optcom.svg figures/sub-01_carpet_denoised.svg figures/sub-01_carpet_accepted.svg From b4ad60e01b954eb6d3200205ce3cb81d3cb2d04f Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 14:31:06 -0400 Subject: [PATCH 04/16] Update report_body_template.html --- tedana/reporting/data/html/report_body_template.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tedana/reporting/data/html/report_body_template.html b/tedana/reporting/data/html/report_body_template.html index b2c8c2e7e..fc698f5a0 100644 --- a/tedana/reporting/data/html/report_body_template.html +++ b/tedana/reporting/data/html/report_body_template.html @@ -183,7 +183,7 @@

Carpet plots

Adaptive mask

- +
From 5fc9d072d6e3dc2a221ad94d4eec3e9e861ac50a Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 14:59:02 -0400 Subject: [PATCH 05/16] Update report_body_template.html --- tedana/reporting/data/html/report_body_template.html | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/tedana/reporting/data/html/report_body_template.html b/tedana/reporting/data/html/report_body_template.html index fc698f5a0..1a0923f4c 100644 --- a/tedana/reporting/data/html/report_body_template.html +++ b/tedana/reporting/data/html/report_body_template.html @@ -182,9 +182,7 @@

Carpet plots

Adaptive mask

-
- -
+

T2* and S0

From 8d12375496f55b52e598656b784f4ca94aa0ee9f Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 15:09:48 -0400 Subject: [PATCH 06/16] Update report_body_template.html --- tedana/reporting/data/html/report_body_template.html | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tedana/reporting/data/html/report_body_template.html b/tedana/reporting/data/html/report_body_template.html index 1a0923f4c..9328c815a 100644 --- a/tedana/reporting/data/html/report_body_template.html +++ b/tedana/reporting/data/html/report_body_template.html @@ -188,17 +188,17 @@

Adaptive mask

T2* and S0

T2*

- +
- +

S0

- +
- +
From 182592eab576aef52a1967552b07e4ac1c541b68 Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 16:21:01 -0400 Subject: [PATCH 07/16] Update static_figures.py --- tedana/reporting/static_figures.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index 54a02540b..84ad4fdd9 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -665,6 +665,7 @@ def plot_adaptive_mask( annotate=False, draw_cross=False, cmap=cmap, + cut_coords=[0, 0, 0], ) legend_elements = [] From 0a6039d2b973ca3456aef8a9e12058e7fa00dc56 Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 16:43:25 -0400 Subject: [PATCH 08/16] Try this. --- tedana/reporting/static_figures.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index 84ad4fdd9..05ae8263e 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -665,7 +665,8 @@ def plot_adaptive_mask( annotate=False, draw_cross=False, cmap=cmap, - cut_coords=[0, 0, 0], + display_mode="mosaic", + cut_coords=4, ) legend_elements = [] From 9e90cef8999be2f598a9880ae3d2ff63bc2b2985 Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 17:00:38 -0400 Subject: [PATCH 09/16] Update static_figures.py --- tedana/reporting/static_figures.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index 05ae8263e..c65b8c47a 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -674,7 +674,18 @@ def plot_adaptive_mask( line = Line2D([0], [0], color=v, label=k, markersize=10) legend_elements.append(line) - ob.frame_axes.legend(handles=legend_elements, facecolor="white", ncols=3, loc="lower center") fig = ob.frame_axes.get_figure() + width = fig.get_size_inches()[0] + + ob.frame_axes.legend( + handles=legend_elements, + facecolor="white", + ncols=3, + loc="upper center", + bbox_to_anchor=(0.5, -0.05), + fancybox=True, + shadow=True, + fontsize=width * 0.25, + ) adaptive_mask_plot = f"{io_generator.prefix}adaptive_mask.svg" fig.savefig(os.path.join(io_generator.out_dir, "figures", adaptive_mask_plot)) From 13ba9e61540356676f83eece9dfd51c5d5fff68e Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 17:19:42 -0400 Subject: [PATCH 10/16] Update static_figures.py --- tedana/reporting/static_figures.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index c65b8c47a..23782fb84 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -682,10 +682,10 @@ def plot_adaptive_mask( facecolor="white", ncols=3, loc="upper center", - bbox_to_anchor=(0.5, -0.05), + bbox_to_anchor=(0, -0.05), fancybox=True, shadow=True, - fontsize=width * 0.25, + fontsize=width, ) adaptive_mask_plot = f"{io_generator.prefix}adaptive_mask.svg" fig.savefig(os.path.join(io_generator.out_dir, "figures", adaptive_mask_plot)) From 2f3f6492b8409750cf82318c0c90d37b13cf0bfc Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 17:29:28 -0400 Subject: [PATCH 11/16] Update static_figures.py --- tedana/reporting/static_figures.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index 23782fb84..33970050d 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -677,6 +677,7 @@ def plot_adaptive_mask( fig = ob.frame_axes.get_figure() width = fig.get_size_inches()[0] + ob.frame_axes.set_zorder(-1) ob.frame_axes.legend( handles=legend_elements, facecolor="white", From 2f427bcf9b0873c378c220464e2ced0ed8f36817 Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Thu, 11 Apr 2024 17:39:26 -0400 Subject: [PATCH 12/16] Update static_figures.py --- tedana/reporting/static_figures.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index 33970050d..bd1c36a72 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -682,8 +682,7 @@ def plot_adaptive_mask( handles=legend_elements, facecolor="white", ncols=3, - loc="upper center", - bbox_to_anchor=(0, -0.05), + loc="lower center", fancybox=True, shadow=True, fontsize=width, From b20252c3c68b3d062d645b017ca05c5a7a22f43d Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Fri, 12 Apr 2024 10:23:49 -0400 Subject: [PATCH 13/16] Update static_figures.py --- tedana/reporting/static_figures.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index bd1c36a72..032838a1d 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -677,7 +677,7 @@ def plot_adaptive_mask( fig = ob.frame_axes.get_figure() width = fig.get_size_inches()[0] - ob.frame_axes.set_zorder(-1) + ob.frame_axes.set_zorder(100) ob.frame_axes.legend( handles=legend_elements, facecolor="white", From ab3cbdfbdcd4bac3e4dd42788500c8ad50e0e5a3 Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Fri, 12 Apr 2024 11:20:15 -0400 Subject: [PATCH 14/16] Update docstring. --- tedana/reporting/static_figures.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/tedana/reporting/static_figures.py b/tedana/reporting/static_figures.py index 032838a1d..8d155e155 100644 --- a/tedana/reporting/static_figures.py +++ b/tedana/reporting/static_figures.py @@ -626,14 +626,20 @@ def plot_adaptive_mask( ): """Create a figure to show the adaptive mask. + This figure shows the base mask, the adaptive mask thresholded for denoising (threshold >= 1), + and the adaptive mask thresholded for classification (threshold >= 3), + overlaid on the mean optimal combination image. + Parameters ---------- optcom : (S x T) :obj:`numpy.ndarray` - Optimal combination of components + Optimal combination of components. + The mean image over time is used as the underlay for the figure. base_mask : (S,) :obj:`numpy.ndarray` - Base mask used in tedana + Base mask used in tedana. + This is the original mask either provided by the user or generated with `compute_epi_mask`. io_generator : :obj:`~tedana.io.OutputGenerator` - The output generator for this workflow + The output generator for this workflow. """ from matplotlib.lines import Line2D from nilearn import image From c068efda844c3139614a34321878ef931c784992 Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Fri, 12 Apr 2024 16:03:57 -0400 Subject: [PATCH 15/16] Document the new figure. --- docs/_static/adaptive_mask.png | Bin 0 -> 280081 bytes docs/outputs.rst | 21 ++++++++++++++++++++- 2 files changed, 20 insertions(+), 1 deletion(-) create mode 100644 docs/_static/adaptive_mask.png diff --git a/docs/_static/adaptive_mask.png b/docs/_static/adaptive_mask.png new file mode 100644 index 0000000000000000000000000000000000000000..32a09df7ad85a4645460d49fa7180fe34960a111 GIT binary patch literal 280081 zcma&NWmp|a7cGptLvTGna3{FCySux4LU0WZ!98ejch?X+5G=R__uzJ$%uHtP_uU`w zdHQgg>aOmtsx52nz59cbf+R8mJ^~mR7_zjKmt?N(v4JXi?C^b^rrID7O|B zRgxAJB~@~9w6L}_2LqG(kdy+eq^gbMf8x!Q6`T;PR1mxZwFec4A%d7oN@N#IAw*3E z6Bwbdtrzf0TpWt7l{Rlp2TYqTPfH66tJ*P6Tv!_ikwfhX7O7|1@98<`c{G!ImG@-H zb)v)dB;x`s_wzYLf}7SWe&rXzu+eYi{GelTN4T_7;mtr4P-&z3_R*5 zI6iKS4sEOD^%QH+D|&@YBA&0H9v_$YN zEDcFxTilAv)v~kcv1leF_GO!8yV)3M>m>H(fVODQcZ$RYN@-(68y7K%eD4me@? 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-r`jVqe+byUGJ81qPn-_ttOnM^UPcsR>zGvZv+i z81(xZ@{u~4#=Ondj>+=o=p7+)8paMd%_hybYkoCk8`CM;iqUTwL(45cM6Ip5Xg};r zT{U&X9@;9N9=zQM{^2yU*z*##bRCfhx?|Ed--en9sSt{5{7>Ad$)e!;2_UCkp+eN&j*QxZuuebN0O! zw{VkAd-Gzeow_bw>y%vkja~$UGm`KVmwxCfaetymg>0|%hxC^hl c8Rbsg>F(pi2A8!c0`Tv(jIwmuE2Gc<2S7Cg3IG5A literal 0 HcmV?d00001 diff --git a/docs/outputs.rst b/docs/outputs.rst index 55369191b..ec577f6a8 100644 --- a/docs/outputs.rst +++ b/docs/outputs.rst @@ -528,11 +528,30 @@ should not overly focus on carpet plots and should examine these results in cont :height: 400px +************************** +Adaptive Mask Summary Plot +************************** + +Below the carpet plots is a summary plot of the adaptive mask. + +This figure overlays contours reflecting the boundaries of the following masks onto the mean optimally combined data: + +- **Base**: The base mask, either provided by the user or generated automatically using ``compute_epi_mask``. +- **Optimal combination**: The mask used for optimal combination and denoising. + This corresponds to values greater than or equal to 1 in the adaptive mask. +- **Classification**: The mask used for the decomposition and component classification steps. + This corresponds to values greather than or equal to 3 in the adaptive mask. + +.. image:: /_static/adaptive_mask.png + :align: center + :height: 400px + + ************************ T2* and S0 Summary Plots ************************ -Below the carpet plots are summary plots for the T2* and S0 maps. +Below the adaptive mask plot are summary plots for the T2* and S0 maps. Each map has two figures: a spatial map of the values and a histogram of the voxelwise values. The T2* map should look similar to T2 maps and be brightest in the ventricles and darkest in areas of largest susceptibility. The S0 map should roughly follow the signal-to-noise ratio and will be brightest near the surface near RF coils. From b613b242f08b500455a7fcdd47e6d503a2925eaa Mon Sep 17 00:00:00 2001 From: Taylor Salo Date: Fri, 12 Apr 2024 17:26:02 -0400 Subject: [PATCH 16/16] Update docs/outputs.rst Co-authored-by: Dan Handwerker <7406227+handwerkerd@users.noreply.github.com> --- docs/outputs.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/outputs.rst b/docs/outputs.rst index ec577f6a8..e1f1a82ff 100644 --- a/docs/outputs.rst +++ b/docs/outputs.rst @@ -538,9 +538,9 @@ This figure overlays contours reflecting the boundaries of the following masks o - **Base**: The base mask, either provided by the user or generated automatically using ``compute_epi_mask``. - **Optimal combination**: The mask used for optimal combination and denoising. - This corresponds to values greater than or equal to 1 in the adaptive mask. + This corresponds to values greater than or equal to 1 (at least 1 good echo) in the adaptive mask. - **Classification**: The mask used for the decomposition and component classification steps. - This corresponds to values greather than or equal to 3 in the adaptive mask. + This corresponds to values greather than or equal to 3 (at least 3 good echoes) in the adaptive mask. .. image:: /_static/adaptive_mask.png :align: center