Paper
26 May 1999 Applications of magnetic resonance image segmentation in neurology
Tomi Heinonen, Antti J. Lahtinen, Prasun Dastidar, Pertti Ryymin, Paeivi Laarne, Jaakko Malmivuo, Erkki Laasonen, Harry Frey, Hannu Eskola
Author Affiliations +
Abstract
After the introduction of digital imagin devices in medicine computerized tissue recognition and classification have become important in research and clinical applications. Segmented data can be applied among numerous research fields including volumetric analysis of particular tissues and structures, construction of anatomical modes, 3D visualization, and multimodal visualization, hence making segmentation essential in modern image analysis. In this research project several PC based software were developed in order to segment medical images, to visualize raw and segmented images in 3D, and to produce EEG brain maps in which MR images and EEG signals were integrated. The software package was tested and validated in numerous clinical research projects in hospital environment.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomi Heinonen, Antti J. Lahtinen, Prasun Dastidar, Pertti Ryymin, Paeivi Laarne, Jaakko Malmivuo, Erkki Laasonen, Harry Frey, and Hannu Eskola "Applications of magnetic resonance image segmentation in neurology", Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); https://doi.org/10.1117/12.349469
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KEYWORDS
Image segmentation

Magnetic resonance imaging

Brain

Visualization

Medical imaging

3D image processing

Electroencephalography

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