Volumetric medical images visualization is an important tool in the diagnosis
and treatment of diseases. Through history, one of the most dificult
tasks for Medicine Specialists has been the accurate location of broken bones
and of the damaged tissues during Chemotherapy treatment, among other
applications; like techniques used in Neurological Studies. Thus these situations
enhance the need of visualization in Medicine. New technologies,
the improvement and development of new hardware as well as software and
the updating of old ones for graphic applications have resulted in specialized
systems for medical visualization. However the use of these techniques
in mobile devices has been poor due to its low performance. In our work,
we propose a client-server scheme, where the model is compressed in the
server side and is reconstructed in a nal thin-client device. The technique
restricts the natural density values to achieve good bone visualization in
medical models, transforming the rest of the data to zero. Our proposal
uses a tridimensional Haar Wavelet Function locally applied inside units
blocks of 16x16x16, similar to the Wavelet Based 3D Compression Scheme
for Interactive Visualization of Very Large Volume Data approach. We also
implement a quantization algorithm which handles error coeficients according
to the frequency distributions of these coe cients. Finally, we made
an evaluation of the volume visualization; on current mobile devices .We
present the speci cations for the implementation of our technique in the
Nokia n900 Mobile Phone
