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 intensity volumes in 3-D using display presets or customized display settings. You can also view label data as volumetric overlays on grayscale intensity volumes. Outside the app, you can generate and render surfaces for efficient display or 3-D printing or modeling applications.

Apps

Medical Image Labeler

Display and label 2-D and 3-D medical images

Functions

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Display Image Volumes

`volshow`	Display volume
`viewer3d`	Create 3-D viewer object
`Surface`	Display surface in 3-D viewer

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

Visualize 3-D Medical Image Data Using Medical Image Labeler
This example shows how to interactively visualize and explore 3-D medical image data using the Medical Image Labeler app.
Display 3-D Medical Image Data in Patient Coordinate System
Visualize volumetric CT data with anisotropic voxel dimensions in the patient coordinate system.
Display Labeled Medical Image Volume in Patient Coordinates
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
This example shows how to 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.