Chakraborty, A.;
(2008)
The development of intra-operative ultrasound elasticity imaging techniques to assist during brain tumour resection.
Doctoral thesis , University of London.
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Abstract
Brain tumour resection requires the surgeon to evaluate mechanical properties such as tumour stiffness and adherence of tumour to the surrounding normal brain. This is a subjective assessment. Ultrasound elasticity imaging techniques allow more objective measurement and imaging of mechanical properties such as strain, which is related to stiffness, in the case of ultrasound elastography. This thesis describes the implementation of ultrasound elastography intra- operatively during brain tumour surgery using both an off-line processed and real-time ultrasound elastography system in 24 patients. Elastogram results on stiffness were compared to surgical findings. Adherence of two surfaces in contact is related to slip which is a type of shear. It occurs when the frictional force binding the two surfaces is overcome. A new imaging technique called slip elastography that images the anatomical location of a slip boundary and measures the externally applied force at which slip is first detected was developed. The technique provides a measure of the frictional force binding the two surfaces together. The theoretical basis, system development, in vitro testing using gelatine phantoms and the implementation of slip elastography in 22 patients intra- operatively during brain tumour resection is described. The results indicated that ultrasound elastography is able to distinguish stiffer areas from softer areas intra-operatively during brain tumour resection. It also demonstrated the heterogeneity of brain tumour stiffness. Slip elastography was able to identify the anatomical location of the brain tumour interface and provide a measure of adherence at the interface.
Type: | Thesis (Doctoral) |
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Title: | The development of intra-operative ultrasound elasticity imaging techniques to assist during brain tumour resection. |
Identifier: | PQ ETD:593496 |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
Additional information: | Thesis digitised by Proquest |
UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical Neuroscience |
URI: | https://discovery.ucl.ac.uk/id/eprint/1446165 |
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