Publication detail

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

SCHWARZ, D., PROVAZNÍK, I.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Key words in English

visualization, medical image, segmentation, pattern recognition

Authors

SCHWARZ, D., PROVAZNÍK, I.

RIV year

2002

Released

9. 11. 2002

Publisher

Vutium Press

Location

Brno

ISBN

80-214-2120-7

Book

Analysis of Biomedical Signals and Images

Edition

Analysis of Biomedical Signals and Images, Vol. 16

Edition number

1

ISBN

1211-412X

Periodical

Analysis of Biomedical Signals and Images

Year of study

16

State

Czech Republic

Pages from

362

Pages to

364

Pages count

3

BibTex

@inproceedings{BUT4791,
  author="Daniel {Schwarz} and Valentine {Provazník}",
  title="Segmentation and Visualization of Medical Images with the Use of Multimodal Registration",
  booktitle="Analysis of Biomedical Signals and Images",
  year="2002",
  series="Analysis of Biomedical Signals and Images, Vol. 16",
  journal="Analysis of Biomedical Signals and Images",
  volume="16",
  number="1",
  pages="3",
  publisher="Vutium Press",
  address="Brno",
  isbn="80-214-2120-7",
  issn="1211-412X"
}