Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Egger, J; Lüddemann, T; Schwarzenberg, R; Freisleben, B; Nimsky, C.
Interactive-cut: Real-time feedback segmentation for translational research.
Comput Med Imaging Graph. 2014; 38(4): 285-295.
Doi: 10.1016/j.compmedimag.2014.01.006
Web of Science
PubMed
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- Führende Autor*innen der Med Uni Graz
- Egger Jan
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- Abstract:
- In this contribution, a scale-invariant image segmentation algorithm is introduced that "wraps" the algorithm's parameters for the user by its interactive behavior, avoiding the definition of "arbitrary" numbers that the user cannot really understand. Therefore, we designed a specific graph-based segmentation method that only requires a single seed-point inside the target-structure from the user and is thus particularly suitable for immediate processing and interactive, real-time adjustments by the user. In addition, color or gray value information that is needed for the approach can be automatically extracted around the user-defined seed point. Furthermore, the graph is constructed in such a way, so that a polynomial-time mincut computation can provide the segmentation result within a second on an up-to-date computer. The algorithm presented here has been evaluated with fixed seed points on 2D and 3D medical image data, such as brain tumors, cerebral aneurysms and vertebral bodies. Direct comparison of the obtained automatic segmentation results with costlier, manual slice-by-slice segmentations performed by trained physicians, suggest a strong medical relevance of this interactive approach. Copyright © 2014 Elsevier Ltd. All rights reserved.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms -
- Anatomic Landmarks - pathology
- Brain - pathology
- Brain Diseases - pathology
- Computer Systems -
- Feedback -
- Humans -
- Image Enhancement - methods
- Image Interpretation, Computer-Assisted - methods
- Magnetic Resonance Imaging - methods
- Reproducibility of Results -
- Sensitivity and Specificity -
- Translational Medical Research - methods
- User-Computer Interface -
- Find related publications in this database (Keywords)
- Segmentation
- Interactive
- Real-time
- Template-based
- Predefined templates
- Free drawing templates
- Scale-invariant
- Graph-cut
- Translational research