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 (Since R2022b) |
Functions
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. - Display Multimodal Medical Image Data from PET and CT
This example shows how to display positron emission tomography (PET) and computed tomography (CT) scans together in 2-D and 3-D. - Label Volume Display Using Point and Line Annotations
This example shows how to add and edit point and line annotations in aViewer3D
window.
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.