matlab-display-volume
Display 3-D image volumes, medical image volumes, surface meshes, and annotations for 3-D image processing
Install / Use
npx skills add matlab/matlab-agentic-toolkit --skill matlab-display-volumeInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Healthcare & Life SciencesSupported Platforms
Our assessment of matlab-display-volume
matlab-display-volume scores 90/100 on our quality scale, 35th of 48 Healthcare & Life Sciences skills we index.
Its SKILL.md is 19 KB long, well organised into 19 sections with 23 code examples: a thorough specification that gives an agent plenty to work with.
With 1,098 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 21 days ago, so matlab-display-volume is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
matlab-display-volume compared with similar skills
All 4 of these similar skills score higher than matlab-display-volume; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| matlab-display-volume (this skill)by matlab | 90 | 1.1k | 21d ago | SKILL.md |
| LocalAIby mudler | 100 | 49.4k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 14d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 14d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 133.6k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install matlab-display-volume?
- Run
npx skills add matlab/matlab-agentic-toolkit --skill matlab-display-volume. The install tabs above show the steps for each supported agent. - Which AI agents does matlab-display-volume work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is matlab-display-volume safe to use?
- It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is matlab-display-volume still maintained?
- The repository was last updated 21 days ago, so matlab-display-volume is actively maintained.
Skill content
View source on GitHubname: matlab-display-volume description: Display 3-D image volumes, medical image volumes, surface meshes, and annotations for 3-D image processing. Use when displaying 3-D images or isosurfaces with volshow, creating volume viewers with viewer3d, adding Regions of Interest (ROI) or annotations, overlaying masks or segmentations, streaming volumetric data, or building apps with volume display. license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md metadata: author: MathWorks version: "1.0"
Volume Display
Display volumes with volshow for performant, high quality volume display. Display isosurface meshes, triangulations, and surfaces using images.ui.graphics.Surface rather than isosurface for more performant, higher quality mesh display with more responsive interactions for meshes of all sizes.
When to Use
- User asks to create a GUI, app, dashboard, or interactive tool for volume, isosurface, or surface mesh display
- User wants ROIs, annotations, or other lines and shapes plotted on top of the volume or surface mesh
- User wants to display labeled data or other overlay volumes on top of a volume
When NOT to Use
- User does not have the Image Processing Toolbox — fall back to
isosurface+patch, but recommendvolshowfor better performance.
Medical Image Volumes
When the user has the Medical Imaging Toolbox, use medicalVolume to load DICOM/NIfTI/NRRD files, then call the volshow method on that object. This automatically sets the spatial Transformation and SpatialUnits from the file metadata. All other patterns in this skill (Viewer, overlays, annotations, streaming, app building) still apply — only the entry point differs.
medVol = medicalVolume("brain.nii");
obj = volshow(medVol);
Key Objects
| Object | Constructor | Key callback |
|--------|------------|-------------|
| Viewer | viewer3d(parent) | CameraMovedFcn, ObjectClickedFcn |
| Volume | volshow(data, Parent=viewer) | |
| Surface | images.ui.graphics.Surface(viewer, Data=tri) | |
| Interactive Annotations | uidraw(parent, "shape") | AnnotationMovedFcn (on Viewer) |
Utilities: linkviewers(viewers) synchronizes camera motion across multiple Viewers. title(viewer, "text") sets the Viewer title.
Workflow
- Create Viewer — call
viewer3d()orviewer3d(parent)for app contexts - Add Volume — call
volshow(V, Parent=viewer)to display volumetric data - (Optional) Add surfaces — call
images.ui.graphics.Surface(viewer, Data=tri)for mesh display - (Optional) Add annotations — call
uidraw(volObj, "line")for interactive ROIs - (Optional) Configure callbacks — set
CameraMovedFcn,AnnotationMovedFcn, orObjectClickedFcnon the Viewer - Update data — set
obj.Data = newVto stream; usewaitfor(viewer,"Busy",false)for synchronization
Legacy Patterns to Avoid
| Do NOT use | Use instead | Why |
|------------|-------------|-----|
| isosurface + patch | images.ui.graphics.Surface(viewer, Data=tri) | Better rendering, interactive performance, depth peeling |
| clear(viewer) then re-add objects | Reuse objects, update Data property | Avoids reconstruction overhead |
| drawnow for volume streaming sync | waitfor(viewer,"Busy",false) | Volume data loads asynchronously; drawnow is still appropriate for Surface animation |
| Creating new volshow each frame | Keep reference, set obj.Data = V | Reuse avoids GPU reallocation |
Patterns
Standard Volume Display
Simple cases of volume display can call volshow without specifying a parent. All name-value arguments can be set as properties on the Volume object, and the volume data can be updated by setting the Data property.
obj = volshow(V);
Choose DisplayRangeMode based on the data type and value range:
| Data characteristics | Recommended mode |
|---------------------|-----------------|
| Normalized single/double in [0, 1] | "data-range" (default) |
| uint8 or int8 | "data-range" (default) |
| uint16 with values up to 1023 (e.g., 10-bit CT) | "10-bit" |
| uint16 with values up to 4095 (e.g., 12-bit CT/MR) | "12-bit" |
| uint16 full range or int16 | "16-bit" |
| Custom window/level needed | "manual" with DisplayRange=[low high] |
% 12-bit medical volume
obj = volshow(V, DisplayRangeMode="12-bit");
% Manual window/level
obj = volshow(V, DisplayRangeMode="manual", DisplayRange=[200 1200]);
Set RenderingStyle to control how voxel data is visualized. See the dedicated Rendering Styles section below for detailed guidance.
Choosing a Colormap — Select based on data content:
| Data content | Recommended colormap | Rationale |
|-------------|---------------------|-----------|
| CT / MR (anatomical) | gray(256) | Clinical convention; preserves radiologist familiarity |
| CT with window/level | gray(256) + DisplayRange | Narrow range highlights target tissue |
| Fluorescence / emission | hot(256) or green(256) | Hot emphasizes intensity peaks; green matches fluorophore |
| General scientific | parula(256) (default) | Perceptually uniform, accessible |
| Multi-structure / labeled | turbo(256) | Full-spectrum rainbow, perceptually ordered |
| Signed data (e.g., flow, strain) | Custom diverging (blue-white-red) | Distinguishes positive/negative around midpoint |
obj = volshow(V, Colormap=gray(256));
Choosing an Alphamap — The alphamap is a 256×1 vector mapping normalized intensity [0, 1] to opacity [0, 1]. It controls which structures are visible vs. transparent. The default is a cubic ramp (x.^3), which suppresses low-intensity background while revealing bright structures.
| Goal | Alphamap shape | Construction |
|------|---------------|--------------|
| Show bright structures, hide background | Cubic ramp (default) | linspace(0,1,256)'.^3 |
| Show all intensities equally | Linear ramp | linspace(0,1,256)' |
| Reveal only a specific intensity band | Gaussian peak | exp(-((x-center).^2)/(2*width^2)) |
| Hard threshold (binary visibility) | Step function | double((1:256)' > threshold) |
| Hide bright, show dim (e.g., cavities) | Inverted ramp | linspace(1,0,256)' |
| Custom: show bone, hide soft tissue (CT) | Step at bone HU | double(linspace(0,1,256)' > 0.3) |
% Gaussian alphamap centered at 60% intensity (width 10%)
x = linspace(0, 1, 256)';
alpha = exp(-((x - 0.6).^2) / (2*0.1^2));
obj = volshow(V, Alphamap=alpha, Colormap=gray(256));
% Hard threshold — only show voxels above 30% of the display range
alpha = double(linspace(0, 1, 256)' > 0.3);
obj = volshow(V, Alphamap=alpha);
For per-voxel opacity control (e.g., masking specific regions regardless of intensity), set the AlphaData property to a volume the same size as Data with values in [0, 1]:
obj = volshow(V, AlphaData=double(regionMask));
When displaying an overlay of a mask, semantic segmentation, or other volume data on top of another volume, use the OverlayData property of the Volume object and the corresponding name-value arguments OverlayColormap, OverlayAlpha, OverlayRenderingStyle, OverlayDisplayRange, and OverlayDisplayRangeMode to adjust the overlay display. This is a faster option than blending the overlay with the volume and updating the Data property, or adding a second Volume object to the Viewer. The default properties for overlay display are tuned to support semantic labels, but can be adjusted to support continuous data for other purposes.
obj = volshow(V, OverlayData=mask);
If spatial referencing information is available, include it in the Transformation name-value argument. Build an imref3d from voxel spacing and volume size, or use an affinetform3d for arbitrary affine transforms. When using medicalVolume, the volshow method sets the transformation automatically from file metadata.
% From voxel spacing (e.g., [0.5 0.5 1.0] mm)
R = imref3d(size(V), 0.5, 0.5, 1.0);
obj = volshow(V, Transformation=R);
% From an affine matrix
tform = affinetform3d(A);
obj = volshow(V, Transformation=tform);
For large volumes that exceed GPU texture memory (typically > 2048³ voxels) or are too large to fit in RAM, create a multilevel blockedImage and pass it to volshow. The makeMultiLevel3D function creates a resolution pyramid for progressive rendering — the Viewer loads coarse levels first, then refines as the camera settles.
bim = blockedImage(V, BlockSize=[512,512,512]);
mbim = makeMultiLevel3D(bim, Scales=[2 4 8]);
volshow(mbim);
Use Scales to control the downsampling factors. Each scale creates a level at 1/N resolution. For very large volumes (e.g., 4096³+), include more scales (e.g., [2 4 8 16]). Smaller volumes that just exceed the texture limit need fewer levels (e.g., [2 4]). The BlockSize should match or be a multiple of the GPU texture block size (512³ is a good default).
Surface Mesh Display
Displaying surface meshes using images.ui.graphics.Surface offers better rendering and interactive performance over isosurface + patch. Pass a triangulation object as Data and an N×3 matrix of per-vertex RGB colors as Color.
% tri = triangulation(...), cpoints = N-by-3 vertex colors
viewer = viewer3d(BackgroundGradient="off", BackgroundColor="white");
obj = images.ui.graphics.Surface(viewer, Data=tri, Color=cpoints);
When possible, displaying the mesh with the default Alpha of 1.0 is recommended for optimal performance. You can call images.ui.graphics.Surface multiple times to add multiple objects to the scene and the objects will be sorted and rendered spatially correct with depth peeling. When objects are transparent, more render passes are required and the performance will decrease.
Surface meshes can be displayed together with volumes in the same Viewer.
viewer = viewer3d();
volObj = volshow(V, Parent=viewer);
surfObj = images.ui.graphics.Surface(viewer, Data=tri);
When updating the position or size of a Surface, it is much faster to update the Transformation property than to re-set Data with a new triangulation. Use drawnow to flush the graphics queue between frames (this is appropriate for Surface animation — only volume streaming requires waitfor).
viewer = viewer3d(BackgroundGradient="off", BackgroundColor="white");
obj = images.ui.graphics.Surface(viewer, Data=tri, Color=cpoints);
% Disable auto camera position update
viewer.CameraPositionMode = "manual";
% Animate the surface moving in the z direction
for idx = 1:100
tform = transltform3d(0, 0, idx);
obj.Transformation = tform;
drawnow;
end
Rendering Styles
The RenderingStyle property on the Volume object controls how voxel data is visualized. Choose the style based on what structures need to be visible.
Maximum Intensity Projection (MIP) — Projects the brightest voxel along each viewing ray onto the screen. Ideal for vascular imaging (angiography), fluorescence microscopy, or any data where bright structures are the signal of interest.
obj = volshow(V, RenderingStyle="MaximumIntensityProjection");
Gradient Opacity — Makes large homogeneous regions (low gradient) transparent while preserving regions with sharp intensity transitions (high gradient). This lets you see through bulk tissue to reveal boundaries and edges within the volume.
obj = volshow(V, RenderingStyle="GradientOpacity");
Cinematic Rendering — State-of-the-art photorealistic rendering with global illumination, ambient occlusion, and soft shadows. Produces the highest quality visualization for solid structures like bone in CT scans. More computationally expensive but delivers publication-quality results.
obj = volshow(V, RenderingStyle="CinematicRendering");
Other styles:
| RenderingStyle | Use when | |-
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
