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Registration and fuzzy segmentation modules for SemiVis framework

Denkowski M., Chlebiej M., Mikołajczak P.

Journal of Medical Informatics & Technologies

2005

Vol. 9

65--74

This paper presents the cross-platform framework for image processing with a focus on medical imaging. It allows a fast addition and testing of new algorithms using a modular structure. New modules can be created by using a platform-independent The C++ class library can be easily integrated with a whole system by a plug-in mechanisms. Together with the system core in the framework medical image processing modules are included. The plug-in mechanism allows to create a processing pipelines of this modules to achieve sophisticated processing functions such as registration or segmentation.

Segmentation and visualisation MR images of the human brain

Denkowski M., Chlebiej M., Mikołajczak P.

Journal of Medical Informatics & Technologies

2004

Vol. 7

MIP59--68

Segmentation and visualisation of anatomical regions of the brain are fundamental problems in medical image analysis. In this paper, we present a fuzzy-logic segmentation system that is capable of segmenting magnetic resonance (MR) images of a human brain. The presented method consists of two main stages: histogram thresholding and pixel classification using a rule-based fuzzy logic inference. After the segmentation is complete, attributes of different tissue classes may be determined (e.g., volumes), or the classes may be visualised as spatial objects. The implemented system provides many advanced 3D imaging tools.