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Title: Volume segmentation and visualisation for a 3D ultrasound acquisition system
Author: Brett, Alan Donald
Awarding Body: University of London
Current Institution: University College London (University of London)
Date of Award: 1997
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Three Dimensional (3D) Ultrasound (US) is a relatively new medical imaging technique in which an extended region of tissue is sampled and recorded. This technique offers considerable potential for enhancing the clinical application of US by allowing visualisation and measurement of volumetric as opposed to planar image data. However, the potential for using this 3D data is somewhat restricted by a number of problems which are specific to US imaging including speckle and incomplete interrogation of the region of interest. A study has been made of several of these problems with a view to improving the visualisation and measurement characteristics of the recorded information. Methods for the reduction of speckle relevant to the 3D image have been developed and compared. These speckle reduction techniques give enhanced surface displays of segmented volumes. However, they do present other problems such as the shifting and blurring of edges. The Point Spread Function (PSF) in US data has a complicated structure. This presents problems in the determination and measurement of the resolution of the system. The PSF of the system was studied by the numerical modelling of images of a point target using Non-Linear Least Squares fitting. A linear scanning frame and a set of phantoms containing point targets was designed and constructed for this purpose. A 3D segmentation technique was developed based upon a Region Growing strategy. The accuracy of volume determination using this technique was tested using images of simulated phantoms. Results presented include the use of this segmentation method for the visualisation and measurement of anatomical volumes such as the fetal heart and bladder. The impact of speckle reduction on these measurements was explored and the use of the method for the improved accuracy in the measurement of fetal long bones is suggested.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available