DICOM File Importer for Cinema 4D


Features Overview

  • Load DICOM images directly into Cinema 4D

  • View thumbnails in the content browser

  • Supports only a subset of DICOM images.

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

    • MonoChrome: Int8, UInt8, Int16, UInt16

Drag and drop onto material view

Drag and drop images directly from your disk onto a material in the 4D Publish Material View to load and scale the image directly to fit the image resolution used for the channel on the material.

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)