Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Egger, J; Kapur, T; Fedorov, A; Pieper, S; Miller, JV; Veeraraghavan, H; Freisleben, B; Golby, AJ; Nimsky, C; Kikinis, R.
GBM volumetry using the 3D Slicer medical image computing platform.
Sci Rep. 2013; 3(10):1364-1364
Doi: 10.1038/srep01364
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- Egger Jan
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- Abstract:
- Volumetric change in glioblastoma multiforme (GBM) over time is a critical factor in treatment decisions. Typically, the tumor volume is computed on a slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer - a free platform for biomedical research - provides an alternative to this manual slice-by-slice segmentation process, which is significantly faster and requires less user interaction. In this study, 4 physicians segmented GBMs in 10 patients, once using the competitive region-growing based GrowCut segmentation module of Slicer, and once purely by drawing boundaries completely manually on a slice-by-slice basis. Furthermore, we provide a variability analysis for three physicians for 12 GBMs. The time required for GrowCut segmentation was on an average 61% of the time required for a pure manual segmentation. A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 ± 5.23% and a Hausdorff Distance of 2.32 ± 5.23 mm.
- Find related publications in this database (using NLM MeSH Indexing)
- Glioblastoma - diagnosis
- Glioblastoma - pathology
- Humans -
- Image Processing, Computer-Assisted -
- Imaging, Three-Dimensional -
- Magnetic Resonance Imaging -
- Tumor Burden -