The Electrical Impedance Mammography (EIM) device is an imaging system developed at the University of Sussex for the detection of breast lesions in vivo using quadrature detection of impedance. The work describes a novel technique to integrate Ultrasound-guided Focused Ultrasound Surgery (USgFUS) with the existing EIM system. The benefits that such a system could provide include the possibility of non-invasive detection, diagnosis and treatment of breast cancer all within a single device and involving no radiation. Furthermore the timescales involved would allow the process to be considered an outpatient procedure such that a patient can be diagnosed and treated on the same day using the same device. Various geometries of transducer were investigated for physical compatibility as well as the ability to target the entire specified volume, based on the dimensions of the existing system. Simulations were performed using a custom written code based on Huygen's principle, allowing minimum surface area and power requirements to be determined and feasibility of designs to be evaluated. The use of phase differences in the excitation signals applied to individual elements was also investigated, thus the effect of steering the simulated focus could be observed, an important factor to consider when attempting to incorporate a transducer into a device with restricted dimensions. Resulting simulated pressure fields were used to obtain acoustic intensity fields, which could then be used as inputs in the Pennes Bio-Heat Transfer Equation (BHTE) allowing temperature distributions to be observed. Preliminary studies proved the feasibility of using the suggested transducer design in conjunction with the existing EIM system. Pressure fields and heating patterns were all within acceptable limits, confirming the ability of the device to effectively ablate cancerous tissue. Additionally the capability to steer the resultant focal point was validated, and a thermal dose model was implemented allowing different heating patterns to be quantitatively compared.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:668902 |
| Date | January 2015 |
| Creators | Lobstein-Adams, Chris |
| Publisher | University of Sussex |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://sro.sussex.ac.uk/id/eprint/56970/ |
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