A fast level set method for propagating interfaces
Journal of Computational Physics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Biomedical Imaging, Visualization, and Analysis
Biomedical Imaging, Visualization, and Analysis
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Factors in Visualization Research
IEEE Transactions on Visualization and Computer Graphics
Visualization Handbook
Scientific computing with Java and C++: a case study using functional magnetic resonance neuroimages
Software—Practice & Experience - Research Articles
Computer Methods and Programs in Biomedicine
Comparison of Four Freely Available Frameworks for Image Processing and Visualization That Use ITK
IEEE Transactions on Visualization and Computer Graphics
Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation
Computers in Biology and Medicine
IEEE Transactions on Visualization and Computer Graphics
A Novel Software Platform for Medical Image Processing and Analyzing
IEEE Transactions on Information Technology in Biomedicine
Segmentation of abdominal organs from CT using a multi-level, hierarchical neural network strategy
Computer Methods and Programs in Biomedicine
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In medical visualization, segmentation is an important step prior to rendering. However, it is also a difficult procedure because of the restrictions imposed by variations in image characteristics, human anatomy, and pathology. Moreover, what is interesting from clinical point of view is usually not only an organ or a tissue itself, but also its properties together with adjacent organs or related vessel systems that are going in and coming out. For an informative rendering, these necessitate the usage of different segmentation methods in a single application, and combining/representing the results together in a proper way. This paper describes the implementation of an interface, which can be used to plug-in and then apply a segmentation method to a medical image series. The design is based on handling each segmentation procedure as an object where all parameters of each object can be specified individually. Thus, it is possible to use different plug-ins with different interfaces and parameters for the segmentation of different tissues in the same dataset while rendering all of the results together is still possible. The design allows access to insight registration and segmentation toolkit, Java, and MATLAB functionality together, eases sharing and comparing segmentation techniques, and serves as a visual debugger for algorithm developers.