Segmentation and Visualization of Medical Images with the Use of Multimodal Registration

SCHWARZ, Daniel and Ivo PROVAZNÍK. Segmentation and Visualization of Medical Images with the Use of Multimodal Registration. In Analysis of Biomedical Signals and Images. 2002nd ed. Brno: Vutium Press, 2002, p. 362-364. ISBN 80-214-2120-7.

Basic information

Original name

Segmentation and Visualization of Medical Images with the Use of Multimodal Registration

Authors

SCHWARZ, Daniel and Ivo PROVAZNÍK

Edition

2002. vyd. Brno, Analysis of Biomedical Signals and Images, p. 362-364, 3 pp. 2002

Publisher

Vutium Press

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Other information

Type of outcome

Stať ve sborníku

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization unit

Institute of Biostatistics and Analyses

ISBN

80-214-2120-7

Keywords in English

visualization; medical image; segmentation; pattern recognition

Tags

medical image, pattern recognition, segmentation, visualization

Tags

International impact, Reviewed

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Abstract

V originále

Visualization of 3D medical images is usually accompanied by necessity of image data segmentation, in order to present interpretable resulting images. A method based on pattern recognition in multimodality images is proposed here. Results achieved by testing the proposed methods on images from Visible Human Project are presented.