Exploring the Visible Human using the VOXEL-MAN framework.
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Exploring the Visible Human using the VOXEL-MAN framework. / Schiemann, T; Freudenberg, J; Pflesser, B; Pommert, Andreas; Priesmeyer, K; Riemer, Martin; Schubert, R; Tiede, U; Höhne, K H.
in: COMPUT MED IMAG GRAP, Jahrgang 24, Nr. 3, 3, 2000, S. 127-132.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Exploring the Visible Human using the VOXEL-MAN framework.
AU - Schiemann, T
AU - Freudenberg, J
AU - Pflesser, B
AU - Pommert, Andreas
AU - Priesmeyer, K
AU - Riemer, Martin
AU - Schubert, R
AU - Tiede, U
AU - Höhne, K H
PY - 2000
Y1 - 2000
N2 - In principle the Visible Human data sets are an ideal basis for building electronic atlases. While it is easy to construct such atlases by just offering the possibility of browsing through the 2D slices, constructing realistic 3D models is a huge project. As one rather easy way to establish 3D use, we have registered the Visible Human data to the already existing 3D atlas VOXEL-MAN/brain. This procedure enables one to lookup anatomical detail in an atlas based on radiological images. Concerning the segmentation problem, which is the prerequisite for a real 3D atlas, we have developed an interactive classification method that delivers realistic perspective views of the Visible Human. As these volume based methods require high-end workstations, we finally have developed a multimedia program that runs on standard PCs and uses Quicktime VR movies.
AB - In principle the Visible Human data sets are an ideal basis for building electronic atlases. While it is easy to construct such atlases by just offering the possibility of browsing through the 2D slices, constructing realistic 3D models is a huge project. As one rather easy way to establish 3D use, we have registered the Visible Human data to the already existing 3D atlas VOXEL-MAN/brain. This procedure enables one to lookup anatomical detail in an atlas based on radiological images. Concerning the segmentation problem, which is the prerequisite for a real 3D atlas, we have developed an interactive classification method that delivers realistic perspective views of the Visible Human. As these volume based methods require high-end workstations, we finally have developed a multimedia program that runs on standard PCs and uses Quicktime VR movies.
M3 - SCORING: Zeitschriftenaufsatz
VL - 24
SP - 127
EP - 132
JO - COMPUT MED IMAG GRAP
JF - COMPUT MED IMAG GRAP
SN - 0895-6111
IS - 3
M1 - 3
ER -
