University of Twente Student Theses
As of Friday, 8 August 2025, the current Student Theses repository is no longer available for thesis uploads. A new Student Theses repository will be available starting Friday, 15 August 2025.
Automatic segmentation of pelvic floor ring on 3D ultrasound
Bertolotti, E.M. (2020) Automatic segmentation of pelvic floor ring on 3D ultrasound.
PDF
12MB |
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 |
Repository Staff Only: item control page