Statistically Based Segmentation of Medical Images and Their Visualisation

SCHWARZ, Daniel a Ivo PROVAZNÍK. Statistically Based Segmentation of Medical Images and Their Visualisation. In VI International Conference PROCEEDINGS Symbiosis 2001. Gliwice: Silesian University of Technology, 2001, s. 10-14. ISBN 80-214-0893-6.

Základní údaje

Originální název

Statistically Based Segmentation of Medical Images and Their Visualisation

Autoři

SCHWARZ, Daniel a Ivo PROVAZNÍK

Vydání

Gliwice, VI International Conference PROCEEDINGS Symbiosis 2001. od s. 10-14, 5 s. 2001

Nakladatel

Silesian University of Technology

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Další údaje

Typ výsledku

Stať ve sborníku

Utajení

není předmětem státního či obchodního tajemství

Organizační jednotka

Institut biostatistiky a analýz

ISBN

80-214-0893-6

Klíčová slova anglicky

3D visualization; CT; MR; multimodal registration; pattern recognition; segmentation; image processing

Štítky

3D visualization, CT, image processing, MR, multimodal registration, pattern recognition, segmentation

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Anotace

V originále

Visualisation of 3D medical images from CT and MR is the aim of this paper. As the interpretation of resulting images is a quite important problem for medical purposes segmentation techniques are included here too. They are demanded to be simple enough to prevent them making slower the whole process of visualisation. A volume rendering method called Ray casting is presented here as a suitable algorithm for visualisation voxel based medical image data.