matlab-display-volume

Display 3-D image volumes and surface meshes in MATLAB using volshow.

883|109|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/matlab/matlab-agentic-toolkit --skill matlab-display-volume
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: matlab-display-volume
Source: https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-display-volume
Command: npx skills add https://github.com/matlab/matlab-agentic-toolkit --skill matlab-display-volume

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you display 3-D image volumes and related 3-D annotations reliably in MATLAB without slow legacy rendering patterns.

Core Features & Use Cases

  • High-quality volume rendering using volshow for performant visualization of voxel data.
  • 3-D surface mesh visualization using images.ui.graphics.Surface for triangulations/isosurface meshes.
  • Interactive ROIs and overlays using uidraw for annotations and OverlayData for segmentation/mask highlighting (with transparency).
  • Common scenarios include GUI/app dashboards, medical imaging (DICOM/NIfTI/NRRD), streaming volumetric updates, and camera-synchronized multi-viewer setups.

Quick Start

Use the matlab-display-volume skill to visualize your 3-D MRI or CT volume by asking it to create a volshow-based viewer with overlays and interactive annotations if needed.

Frequently Asked Questions about matlab-display-volume

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I display a 3-D medical volume in MATLAB without slow legacy rendering?

To display a 3-D medical volume in MATLAB efficiently, use volshow for high-quality voxel rendering. This approach avoids legacy patterns and supports medicalVolume data with DICOM or NIfTI metadata for performant visualization.

Can I overlay segmentation masks on a 3-D image volume using MATLAB?

Yes, you can overlay segmentation masks on a 3-D image volume in MATLAB. Use OverlayData to apply segmentation masks with transparency over your base volume rendered via volshow for clear visual highlighting.

What is the best way to visualize 3-D surface meshes alongside medical image volumes?

The best way to visualize 3-D surface meshes with medical volumes is using images.ui.graphics.Surface for triangulations and isosurfaces. This integrates smoothly with volshow-based viewer setups in MATLAB.

How do I handle streaming large volumetric data updates in a MATLAB app?

To handle streaming large volumetric data updates in a MATLAB app, synchronize refresh rates using waitfor(viewer,"Busy",false) when updating streamed volume data. This prevents rendering conflicts during dynamic viewer updates.

Does volshow support interactive ROI annotations for 3-D medical imaging workflows?

Yes, volshow supports interactive ROI annotations for 3-D medical imaging workflows. You can use uidraw functions to create annotations within viewer3d-based UI patterns for detailed volume analysis.

When should I use viewer3d-based UI patterns for 3-D visualization?

Use viewer3d-based UI patterns for 3-D visualization when building interactive GUI dashboards or multi-viewer setups. This approach enables camera synchronization and handles complex overlays for medical imaging applications.