Welcome!
Welcome to the Visible Human Server at the EPFL (Ecole Polytechnique
Fédérale de Lausanne). The Peripheral Systems Lab (Prof. R.D. Hersch and
his team) is proud to offer a virtual anatomic construction kit
on the web using the Visible Human dataset. The
applets available on this site provide the following features:
- Extract slices, curved surfaces, and slice animations from both datasets (male
and female)
- Interactively navigate by slicing through the male dataset in real-time
- Construct 3D anatomical scenes using combinations of slices and 3D models of
internal structures from the male dataset, and extract 3D animations
- Add voice comments to video sequences generated using the applets
A few samples of animations extracted from our applets can be downloaded here.
We would now like to invite you to discover
the fascinating world of human anatomy by using the links on the navigation bar on
the left.
Please note that to access applications using the labeling data and the
3D anatomic structures, you must be logged in. If you did not yet
register, please click here.
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3D view of the digestive system
Slice sequence animation
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Slice through the knee (interactive navigation)
Curved Surface passing through the aorta tree
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Some history
EPFL's first Visible Human Server started offering slicing services in June 1998.
Extraction of curved surfaces was added in 1999, followed in the year 2000 by animation extraction.
With the availability of labeled data, new services were developed, and are now offered to
the public as a new revised design.
You may obtain more information on the technologies that are used for
the Visible Human Server.
About the Visible Human datasets
These 3D datasets originate from two bodies that were given to science, frozen and digitized
into 1 mm horizontally spaced slices (0.33 mm for the female body) by the
University of Colorado
(Dr. Victor Spitzer) under contract of the
National Library of Medicine,
Bethesda, Maryland. The total volume of all
slices represents a size of 13 GB of data for the male dataset and 40 GB for the female dataset.
The labeling data used by these applications has been licensed from
GSM.
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