Abstract
In radiotherapy, computed tomography (CT) images are typically used for radiation treatment planning. Accurate segmentation of radiation sensitive healthy tissues, organs-atrisk (OARs), is important for radiation treatment planning for brain tumor. 3D Slicer has been applied in many medical applications including tumor segmentation on head MR images. However, to the best of our knowledge, there have been no studies using 3D Slicer for segmenting OARs on head CT images. This preliminary study evaluates the segmentation of seven OARs on head CTs using 3D Slicer. Results are comparable to state-ofthe- art approaches but a larger dataset is required to verify the results.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 503-506 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728146171 |
| DOIs | |
| Publication status | Published - Oct 2019 |
| Event | 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 - Athens, Greece Duration: 28 Oct 2019 → 30 Oct 2019 |
Publication series
| Name | Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 |
|---|
Conference
| Conference | 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 |
|---|---|
| Country/Territory | Greece |
| City | Athens |
| Period | 28/10/19 → 30/10/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- 3D-Slicer
- Brain-Tumor
- Computed-tomography-(CT)
- Glioblastoma
- Organ-at-risk
- Radiotherapy
- RT-planning
- Segmentation
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