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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
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