Hybrid magnetoacoustic method for breast tumor detection: an in-vivo and in-vitro modelling and analysis

Authors:
Maheza Irna Mohamad Salim;Mohammad Azizi Tumiran;Siti Noormiza Makhtar;Bustanur Rosidi;Ismail Ariffin;Abd Hamid Ahmad;Eko Supriyanto
Affiliations:
Universiti Teknologi Malaysia, Faculty of Biomedical and Health Science Engineering, Department of Clinical Engineering and Sciences, Johor, Malaysia;Universiti Teknologi Malaysia, Faculty of Biomedical and Health Science Engineering, Department of Clinical Engineering and Sciences, Johor, Malaysia;Universiti Teknologi Malaysia, Faculty of Biomedical and Health Science Engineering, Department of Clinical Engineering and Sciences, Johor, Malaysia;Universiti Teknologi Malaysia, Faculty of Biomedical and Health Science Engineering, Department of Clinical Engineering and Sciences, Johor, Malaysia;Universiti Teknologi Malaysia, Faculty of Biomedical and Health Science Engineering, Department of Clinical Engineering and Sciences, Johor, Malaysia;Universiti Teknologi Malaysia, Faculty of Biomedical and Health Science Engineering, Department of Clinical Engineering and Sciences, Johor, Malaysia;Universiti Teknologi Malaysia, Faculty of Biomedical and Health Science Engineering, Department of Clinical Engineering and Sciences, Johor, Malaysia
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2010

Citing 3
Cited 2

Quantitative analysis of hybrid magnetoacoustic method for detection of normal and pathological breast tissue

ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
Direction of sound wave arrival determination using time-delay estimation and beamforming methods

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Automated quantitative assessment of perifollicular vascularization using power Doppler ultrasound images

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Measurement of ultrasound attenuation for normal and pathological mice breast tissue using 10MHz ultrasound wave

VIS '10 Proceedings of the 3rd WSEAS international conference on Visualization, imaging and simulation
Diagnosis of breast cancer using hybrid magnetoacoustic method and artificial neural network

ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science

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Abstract

A new breast cancer detection method that is based on tissue bioelectric and acoustic characteristics has been developed by using a hybrid magnetoacoustics method. This method manipulates the interaction between acoustic and magnetic energy upon moving ions inside the breast tissue. Analytical in-vivo and in-vitro modelling and analysis on the system performance have been done on normal and pathological mice breast tissue models. Analysis result shows that, hybrid magnetoacoustic method is capable to give unique characteristics between normal and pathological mice breast tissue models especially in in-vitro application. However, additional parameter such as analysis of current distribution in tissue should be taken into account for in-vivo application due to the redundancy of the existing result.