display, volume rendering, and surfaces -凯发k8网页登录

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 .

apps

medical image labeler

interactively explore, label, and publish animations of 2-d or 3-d medical image data

functions

display image frames and slices

	view 2-d medical image series in video viewer app
	display medical image slices or frames as montage in patient coordinates

display image volumes

	display medical image slices or frames as montage in patient coordinates
	display medical volume in patient coordinates
	create 3-d viewer object
	display surface in 3-d viewer
	browse slices of medical image volume in patient coordinates

extract surfaces

	extract isosurface from volume using marching cubes algorithm
	extract roi data from dicom-rt structure set
	create volumetric mask from `dicomcontours` object

topics

volume rendering

discover tools for viewing 2-d images, multiframe image series, and 3-d image volumes.
interactively explore and export snapshots and animations of medical image data.
visualize volumetric ct data with anisotropic voxel dimensions in the patient coordinate system.
visualize labeled volumetric ct data as 3-d volumes and orthogonal slice planes.

surface generation

convert a segmentation mask from a ct image into an stl surface model suitable for 3-d printing.
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.
estimate bone stress and strain in a vertebra bone under axial compression using finite element (fe) analysis.