Abstract
Purpose:
Many applications in the field of image-guided therapy could benefit from using 3D ultrasound (US) imaging. To locate the US volume within the treatment room, it is necessary to find the transformation from US space into the tracking space by means of a spatial cali- bration, which is often cumbersome and time-consuming. Our goal is to offer an open-source module for 3D Slicer to overcome those limitations. The approach is based on surface matching of geometrical shapes within an US phantom. For evaluation, the calibration accu- racy was measured using two metrics.
...
Many applications in the field of image-guided therapy could benefit from using 3D ultrasound (US) imaging. To locate the US volume within the treatment room, it is necessary to find the transformation from US space into the tracking space by means of a spatial cali- bration, which is often cumbersome and time-consuming. Our goal is to offer an open-source module for 3D Slicer to overcome those limitations. The approach is based on surface matching of geometrical shapes within an US phantom. For evaluation, the calibration accu- racy was measured using two metrics.
...
| Original language | English |
|---|---|
| Journal | International Journal of Computer Assisted Radiology and Surgery |
| Volume | 15 |
| Pages (from-to) | 14-16 |
| Number of pages | 3 |
| ISSN | 1861-6429 |
| DOIs | |
| Publication status | Published - 08.06.2020 |
| Event | CARS 2020 — Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition - Munich, Germany Duration: 23.06.2020 → 27.06.2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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