DICOM

DICOM File Importer for Cinema 4D


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Features Overview

  • Load DICOM images directly into Cinema 4D

  • View thumbnails in the content browser

  • R20 DICOM Volume Creator 1.9

  • Currently supports only a subset of DICOM images:

    • RGB: Int8, UInt8, Int16, UInt16, Float32

    • MonoChrome: Int8, UInt8, Int16, UInt16


R20 Volume Creator 1.9

For Cinema 4D R20 Individual Licence and Pro Bundle users.

Sample dataset from www.dicomlibrary.com

Sample dataset from www.dicomlibrary.com

  • Import a DICOM sequence into C4D as a volume and use the new R20 Volume Mesher to visualize the data directly in your viewport.

  • Available now as an individual download for R20.

  • The Volume Creator is included in the R20 Pro Bundle. This is a free update for all existing Pro Bundle users.

  • This is not part of the Basic Bundle.

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R20 Individual Licences

Version 1.9 is available now for R20 users as an individual plugin.

Contains the DICOM Image Loader and the DICOM Volume Creator.

 
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Using

  • Available from either the "Plugins 4D" menu, if you have a bundle, or the "Plugins" menu if you have an individual licence.

  • Choose DICOM Volume Creator

  • Drag and drop a dicom image from disk, or the content browser, into the DICOM Image field.

  • From the Create Mode dropdown choose if you want the new volume to be under a mesher, a builder or as a plain volume.

  • Press Create Volume.

  • The DICOM images will be imported and a volume created and added to your scene.

  • You can now close the dialog.

Volume Creator Licencing

  • This feature is available to R20 Pro Bundle users

  • Individual licences are also available

  • If you have the R20 Basic Bundle you can active the Volume Creator by purchasing an individual licence.


This video will take you through the process of finding and downloading DICOM files from the Cancer Imaging Archive. You can then load these DICOM images directly into Cinema 4D via the Content Browser.


About the DICOM Images on this page

The above DICOM images are from the Cancer Imaging Archive. Below are the attribution and citations in accordance with the requirements for working with these images. 

The images shown were taken from the following collection

TCGA Attribution

The results <published or shown> here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/.

Data Citation

Zuley, M. L., Jarosz, R., Kirk, S., Lee, Y., Colen, R., Garcia, K., … Aredes, N. D. (2016). Radiology Data from The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma [TCGA-HNSC] collection. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2016.LXKQ47MS

TCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)


Documentation

For further information be sure to check out the official help documentation.