Preliminary numerical analysis of monitoring bone density using microwave tomography

Mohanad Alkhodari, Amer Zakaria, Nasser Qaddoumi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations


In this paper, a preliminary numerical study is conducted to investigate the use of microwave tomography in monitoring bone density in human lower limbs. By monitoring bone density, the effectiveness of Vitamin D treatment can be evaluated for Osteoporosis patients. In microwave tomography, the leg is radiated with non-ionizing low-power electromagnetic signals with scattered electric fields measured at several locations surrounding the leg. Within the framework of inverse scattering problems, the measured fields are used as inputs for an optimization algorithm to estimate the location and electrical properties inside the human leg. In this work, a two-dimensional cross-sectional model of a human leg is created and simulated using a finite-element method where the transverse magnetic approximation is applied. The synthetic results are then inverted using a finite-element contrast source inversion method. The results show that variations in bone density effect the results of the inversion algorithm.

Original languageBritish English
Title of host publication2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)9784902339451
StatePublished - 16 Jan 2019
Event30th Asia-Pacific Microwave Conference, APMC 2018 - Kyoto, Japan
Duration: 6 Nov 20189 Nov 2018

Publication series

NameAsia-Pacific Microwave Conference Proceedings, APMC


Conference30th Asia-Pacific Microwave Conference, APMC 2018


  • Biomedical imaging
  • Bone density
  • Contrast source inversion
  • Finite-element method
  • Inverse problems
  • Microwave tomography


Dive into the research topics of 'Preliminary numerical analysis of monitoring bone density using microwave tomography'. Together they form a unique fingerprint.

Cite this