Improving Three-Dimensional Near-Infrared Imaging Systems for Breast Cancer Diagnosis

ABSTRACT

The improved three-dimensional imaging system by near-infrared light emission in breast tissue to more accurate diagnosis of tumour is presented in this paper. Based on the repeated experiments in this research, the result is that in this imaging system a more accurate diagnosis of abnormal area depends on the location of the sources and detectors. Therefore, an optimal location model has been proposed to a more suitable placement of sources and detectors. In this article, human samples with the breast cancer have not been examined due to the inaccessibility of three-dimensional imaging system by near-infrared lights. These experiments should have been conducted frequently for obtaining the more accurate reconstructed images, in order to evaluate the optical image reconstruction toolbox of NIRFAST 7.2 that has been coded in MATLAB programming environment and then the obtained results have been compared with the results of similar articles. The obtained results have shown that the proposed placement of sources and detectors has detected the abnormal area with a much lower error rate as well as the proposed placement of sources and detectors has provided a good result in simultaneous diagnosis of the two abnormal areas.

KEYWORDS:

• Biomedical imaging
• Breast cancer diagnosis
• Imaging systems
• Medical diagnostic imaging
• Near infrared

Acknowledgements

We are grateful to those respected researchers who helped us in doing this research. This work is the result of Mr Yaser Noori Shirazi’s Ph.D thesis in electronic engineering and fully supported by the Department of Electrical Engineering, Arak Branch, Islamic Azad University.

Additional information

Notes on contributors

Yasser Noori Shirazi

Yaser Noori Shirazi was born in Nowshahr, Iran, in 1985. He received the BSc degree in electrical engineering from Islamic Azad University of Lahijan, Lahijan, Iran, in 2008 and the MS degree in electrical engineering from Islamic Azad University of Arak, Iran, in 2013, and he is currently a PhD student in electrical engineering in Arak University. He is also a lecturer with Shomal University in Amol, Iran. His major fields of study are integrated circuit, CMOS, CNT and image processing. E-mail: [email protected]

Abdolreza Esmaeli

Abdolreza Esmaeli received his PhD degree (Electrical Engineering) from Harbin Institute of technology, China, in 2005. He received BSc and MSc degrees from Iran University of Science and Technology and AmirKabir University of technology in 1995 and 1998, respectively. Currently, he is an assistant professor with Plasma and Fusion Research School of NSTRI, Iran. He has published over 160 research papers in international journals and conferences and 10 books in the field of electrical and power electronics engineering. He is also a lecturer and PhD student supervisor in Islamic Azad University in Iran. E-mail: [email protected]

Mohammad Bagher Tavakoli

Mohammad Bagher Tavakoli was born in Arak, Iran, in 1978. He received PhD degree from Science and Research Branch, Islamic Azad University in 2013. He received MS and BS degrees from the Department of electronic, Arak Branch, Islamic Azad University in 2006 and 2003, respectively. He became an associate professor at the Islamic Azad University of Arak in 2013. He is Deputy of Faculty of Engineering in Islamic Azad University of Arak, Iran.

Farbod Setoudeh

Farbod Setoudeh is currently an assistant professor of electrical engineering with the Department of Electrical and Computer Engineering, Arak University of Technology, Arak, Iran. He received the BSc degree in electrical engineering, and MSc degree in electronic engineering from Islamic Azad University, Arak, Iran, in 2006, and 2008, respectively and received the PhD degree in electrical engineering (Electronic) from Science and Research Branch, Islamic Azad University, Tehran, Iran in 2014. His research interests are linear and non-linear control systems and systems identification, neural networks, modeling, stability, circuits design, earthquake prediction, and design of microstrip filters. E-mail: [email protected]