University of Twente Student Theses
Automatic segmentation of pelvic floor ring on 3D ultrasound
Bertolotti, E.M. (2020) Automatic segmentation of pelvic floor ring on 3D ultrasound.
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| Abstract: | A 3-dimensional ultrasound image of a woman’s pelvic floor region, in which a pelvic floor ring is present, is analysed for the automatic detection and segmentation of the ring. The segmentation comprises image pre-processing, position analysis and rotation analysis. Several approaches are presented and discussed. The overall best performing result is achieved using a filter chain comprising a 1-dimensional Gaussian blur, LoG filter and a morphological opening operation to pre-process the images, blob detection and analysis to determine the position, and a cross-correlation based rotational analysis. While the location of the ring crosscut can be accurately determined in approximately 70% of cases, the orientation can not be determined with sufficient confidence |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 44 medicine, 54 computer science |
| Programme: | Advanced Technology BSc (50002) |
| Link to this item: | https://purl.utwente.nl/essays/80783 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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