Display, Volume Rendering, and Surfaces

2-D and 3-D medical image display, 3-D surface generation, and volume rendering

Medical Imaging Toolbox™ provides tools to visualize 2-D and 3-D medical image data. Interactively display medical images in the Medical Image Labeler app, which automatically orients images in the anterior/posterior, left/right, and inferior/superior directions. Use volume rendering to visualize volumes in 3-D using display presets or customized display settings. You can also publish snapshot images and animations. Outside the app, you can generate and render surfaces for efficient display or 3-D printing or modeling applications. To get started, see Choose Approach for Medical Image Visualization.

Apps

Medical Image Labeler

Interactively explore, label, and publish animations of 2-D or 3-D medical image data

Functions

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Display Image Frames and Slices

`implay`	View 2-D medical image series in Video Viewer app
`montage`	Display medical image slices or frames as montage in patient coordinates

Display Image Volumes

`montage`	Display medical image slices or frames as montage in patient coordinates
`volshow`	Display medical volume in patient coordinates
`viewer3d`	Create 3-D viewer object
`Surface`	Display surface in 3-D viewer
`sliceViewer`	Browse slices of medical image volume in patient coordinates

Extract Surfaces

`extractIsosurface`	Extract isosurface from volume using marching cubes algorithm
`dicomContours`	Extract ROI data from DICOM-RT structure set
`createMask`	Create volumetric mask from `dicomContours` object

Topics

Volume Rendering

Choose Approach for Medical Image Visualization
Discover tools for viewing 2-D images, multiframe image series, and 3-D image volumes.
Visualize 3-D Medical Image Data Using Medical Image Labeler
Interactively explore and export snapshots and animations of medical image data.
Display Medical Image Volume in Patient Coordinate System
Visualize volumetric CT data with anisotropic voxel dimensions in the patient coordinate system.
Display Labeled Medical Image Volume in Patient Coordinate System
Visualize labeled volumetric CT data as 3-D volumes and orthogonal slice planes.

Surface Generation

Create STL Surface Model of Femur Bone for 3-D Printing
Convert a segmentation mask from a CT image into an STL surface model suitable for 3-D printing.
Create and Display 3-D Mask of DICOM-RT Contour Data
Create a binary mask of ROI data stored in the metadata of a DICOM-RT structure set file, and display the mask as an overlay on the underlying image data.
Medical Image-Based Finite Element Analysis of Spine
Estimate bone stress and strain in a vertebra bone under axial compression using finite element (FE) analysis.