[Computer-assisted diagnosis based on computer-based image interpretation and 3D-visualization].
OBJECTIVE
To survey methods for 3D data visualization and image analysis which can be used for computer based diagnostics.


METHODS
The methods available are explained in short terms and links to the literature are presented. Methods which allow basic manipulation of 3D data are windowing, rotation and clipping. More complex methods for visualization of 3D data are multiplanar reformation, volume projections (MIP, semi-transparent projections) and surface projections. Methods for image analysis comprise local data transformation (e.g. filtering) and definition and application of complex models (e.g. deformable models).


RESULTS
Volume projections produce an impression of the 3D data set without reducing the data amount. This supports the interpretation of the 3D data set and saves time in comparison to any investigation which requires examination of all slice images. More advanced techniques for visualization, e.g. surface projections and hybrid rendering visualize anatomical information to a very detailed extent, but both techniques require the segmentation of the structures of interest. Image analysis methods can be used to extract these structures (e.g. an organ) from the image data.


CONCLUSIONS
At the present time volume projections are robust and fast enough to be used routinely. Surface projections can be used to visualize complex and presegmented anatomical features.
Schuhmann
D
D
GSF-Forschungszentrum für Umwelt und Gesundheit, Institut für medizinische Informatik und Systemforschung, Neuherberg.
Seemann
M
M
Schoepf
U J
UJ
Haubner
M
M
Krapichler
C
C
Gebicke
K
K
Reiser
M
M
Englmeier
K H
KH
D003936:Diagnosis, Computer-Assisted; D003952:Diagnostic Imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging
Computergestützte Diagnostik basierend auf computergestützter Bildanalyse und 3D-Visualisierungen.