Electromagnetic Tissue Properties Imaging for Biomedical Applications

Call for Papers

Recently, imaging techniques in science, engineering, and medicine have evolved to expand our ability to visualize internal information of an object such as the human body. In particular, there has been marked progress in electromagnetic property imaging techniques where cross-sectional image reconstructions of conductivity, permittivity, and susceptibility distributions inside the human body are pursued. These techniques also have wider application of imaging methods in medicine, biotechnology, nondestructive testing, monitoring of industrial process, and others.

This special issue focuses on imaging methodologies, mathematical models, and computational algorithms on electromagnetic tissue properties imaging for biomedical applications. The imaging problems in this topic can be formulated as inverse problems that are intrinsically nonlinear. Finding solutions with practical significance and value requires indepth understanding of the underlying physical phenomena with data acquisition systems as well as implementation details of image reconstruction algorithms. Experiences over the last three decades showed that symbiotic interplay among theoretical mathematics, computational mathematics, and experiments is crucial for understanding and solving these nonlinear problems in practice. With this special issue, we hope to give an opportunity to this scientific community to take consolidation and identify new challenges and the most promising directions for progress.

We invite submissions of papers in all aspect of electromagnetic tissue properties imaging. Potential topics include, but are not limited to:

• Electrical impedance tomography (EIT)
• Magnetic resonance electrical impedance tomography (MREIT)
• Magnetic resonance current density imaging (MRCDI)
• Magnetic resonance electrical properties tomography (MREPT)
• Quantitative susceptibility mapping (QSM)
• Magnetic induction tomography (MIT)
• Micro-EIT, multifrequency EIT, and breast EIT

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:

Lead Guest Editor

• Jin Keun Seo, Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, Korea

Guest Editors

• Bill Lionheart, School of Mathematics, University of Manchester, Manchester M13 9PL, UK
• Ulrich Katscher, Philips Technologie GmbH, Roentgenstraße 24-26, Hamburg, Germany
• Eung Je Woo, Department of Biomedical. Engineering, Kyung Hee University, Gyeonggi-do 446-701, Korea