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.

[img] PDF
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:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page