Abstract
This paper describes a software application to segment multimodal biomedical images in two dimensions and to render the final result in 3D. It makes use of the false-colouring method for image fusion and of unsupervised clustering algorithms. It includes pre-processing and post-processing tools, such as classical morphological operators. Results are presented from original MR data sets in T1, T2 and STIR modalities.
Original language | English (US) |
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Pages | 203-209 |
Number of pages | 7 |
State | Published - 2000 |
Externally published | Yes |
Event | ITAB-ITIS 2000 - Arlington, VA, United States Duration: Nov 9 2000 → Nov 10 2000 |
Other
Other | ITAB-ITIS 2000 |
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Country/Territory | United States |
City | Arlington, VA |
Period | 11/9/00 → 11/10/00 |
Keywords
- 3D visualization
- Bioengineering
- False-colouring
- Image segmentation
- Magnetic resonance imaging
ASJC Scopus subject areas
- General Computer Science
- General Engineering