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Title: An investigation into combining electrical impedance mammography with 3D ultrasound for breast cancer detection
Author: Beqo, Nevis
ISNI:       0000 0004 2747 3158
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 2013
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Worldwide, breast cancer accounts for 22% of all cancer incidences in women, causing 458,503 deaths per annum [WHO 2008]. The most common screening method is X-ray mammography, an ionising method, which has many technical and age group limitations and has come under scrutiny for accuracy and safety on many occasions. Electrical Impedence Mammography (EIM) is a novel, non-invasive, non-ionising imaging modality based on bioimpedence. Initial test results show it as very promising; however the image resolution is quite low. Ultrasound imaging is widely used for high-resolution medical imaging and clinical diagnostics. Ultrasound is non-invasive and is effective in imaging soft body tissue, including subcutaneous structures and organs, but fails to distinguish tissue type. Merging the information of the above modalities and integrating them in an automated device offers a safe, non-invasive, fast, higher accuracy, breast cancer detection method for all age groups. To explore the proposed system, the work was divided into cumulative integrative stages: investigation of the technical challenges of a real world breast scanner device for each modality and the combination of both, including engineering, repeatability, safety and ergonomics, to adhere to medical device standards; data acquisition systems design, signal processing and calibration; image geometry correction; 3D image reconstruction; volumetric merger and visualisation; validation with dual modality scans on phantom and in-vivo; DICOM image porting. These modalities were successfully combined in a unified automated breast scanner that can accommodate and scan 95% of women (breast volume up to 1200cc) in a safe and comfortable way. Data acquisition and scan time achieved is five minutes per breast. The image results achieved from this research complement each other by integrating the boundary information of Ultrasound with the impedence data and tissue discrimination of EIM, therefore potentially providing a more complete and accurate cancer diagnostic method. The images were successfully ported into the DICOM radiology imaging standard therefore becoing platform independent. This work concluded with over twenty academic publications and two filed patents on the technology of a breast scanner and on the methodology of its imaging.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: RC0078.7.E45 Electrical impedence tomography ; RC0254 Neoplasms. Tumors. Oncology Including cancer and carcinogens