The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 88-121
Full Name: Maheza Irna Mohamad Salim
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Universiti Teknologi Malaysia, Faculty of Biomedical and Health Sciences Engineering, 81310 Skudai, Johor
Country: MALAYSIA
Tel: +60197646095
Tel prefix: 00
Fax: 00
E-mail address: maheza@utm.my
Other E-mails: maheza@fke.utm.my
Title of the Paper: Hybrid Magnetoacoustic Method for Breast Tumor Detection: An In-vivo and In-vitro Modelling and Analysis.
Authors as they appear in the Paper: Maheza Irna Mohamad Salim, Mohammad Azizi Tumiran, Siti Noormiza Makhtar, Bustanur Rosidi, Ismail Ariffin, Abd Hamid Ahmad, Eko Supriyanto.
Email addresses of all the authors: maheza@utm.my, iziza_366@yahoo.com, bustanur@fke.utm.my, ismail@fke.utm.my, abhamid@fke.utm.my, eko@utm.my
Number of paper pages: 10
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.
Keywords: magnetic field, acoustic wave, breast tissue, normal and pathological.
EXTENSION of the file: .doc
Special (Invited) Session: Quantitative Analysis of Hybrid Magnetoacoustic Method for Detection of Normal and Pathological Breast Tissue.
Organizer of the Session: 645-165
How Did you learn about congress: Mr. Lai Kin Wee (laikw2@gmail.com)
IP ADDRESS: 203.82.92.121
