Time Reversal Microwave Imaging of Realistic Numerical Head Phantom for Bone Flap Healing Follow-up

Ebrahimizadeh, Javad; Maananejad, Alireza; Sadeghi, Sajjad; Karlsson, R.; Mandal, Bappaditya; Rangaiah, Pramod K B; Perez, Mauricio D.; Augustine, Robin

doi:10.1109/imbioc47321.2020.9385054

Cited by 4 publications

(2 citation statements)

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“…Bakir et al investigated the nanoscale metamaterial‐based waveguide bio‐sensor with high sensitivity 19 . In addition, Ebrahimi Zadeh et al proposed a time reversal microwave imaging of a head phantom model to detect bone flap healing 20 . The necessary frequency band and the factors that can reduce the electromagnetic wave propagation through human body has been investigated by showing parametric literature search of the implantable antennas.…”

Section: Introductionmentioning

confidence: 99%

“…19 In addition, Ebrahimi Zadeh et al proposed a time reversal microwave imaging of a head phantom model to detect bone flap healing. 20 The necessary frequency band and the factors that can reduce the electromagnetic wave propagation through human body has been investigated by showing parametric literature search of the implantable antennas. In addition, implantation and fabrication approaches of various antennas inside the human body are elaborately explained.…”

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confidence: 99%

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Theoretical and experimental sensing of bone healing by microwave approach

Akdoğan

Özkaner

Alkurt

et al. 2022

Int J Imaging Syst Tech

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A medical imaging system is often required to monitor bone growth or bone healing in patients. X-ray imaging method is one of the most used imaging systems but it affects human health due to the ionizing effect of X-rays on matter. In this paper, authors investigated the healing period of a bone structure by using electromagnetic antennas. Two different design approaches were examined which are the monopole antenna approach and the horn antenna approach with the frequency bands of 4-10 and 3-18 GHz, respectively.According to simulation results of the first scenario, radius change of a circular bone from 1 to 8 mm causes a transmission reduction from À13.5 dB to À20 dB at 7 GHz. In the second scenario, the thickness of the bone changed from 0.05 to 20 mm and the corresponding transmission value is reduced from À5 to À25 dB at 10 GHz of constant frequency. All these two approaches showed that the bone variation with time changes the transmission characteristics of detector antennas at the operating frequencies. In the last step of this study, an experimental measurement is carried out by using two opposite horn antennas and a planar bone structure in microwave laboratory. The measured results are in a good agreement with the simulated results in the second scenario. This study gives an opportunity to determine bone healing periods in medical applications by microwave techniques.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Theoretical and experimental sensing of bone healing by microwave approach

Akdoğan

Özkaner

Alkurt

et al. 2022

Int J Imaging Syst Tech

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Design of Cost Efficient VBIR Technique Using ICA and IVCA

Pradeep Kumar,

Srinidhi,

Shiva Darshan

et al. 2024

SN COMPUT. SCI.

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With an emphasis on early-stage contrast agent transit through tumour vasculature, this study presents Adaptive Complex Independent Components Analysis (ACICA) as a unique method for evaluating intravascular responsiveness in prostatic tissue. Furthermore, a new SVM clustering method is introduced that outperforms the conventional k-means clustering for image retrieval based on vision. The study emphasises how dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) may be improved in conjunction with quantitative analysis. Within the field of DCE-MRI, ACICA stands out as a unique intravascular attention measurer. Utilising the spatial independence of extravascular and intravascular magnetic resonance imaging (MR) data, ACICA offers a strong foundation for DCE-MRI image analysis. It incorporates pharmacokinetic modelling to optimise the time lag, especially useful for arterial curves, and a reference region (RR)-based technique to adjust the intravascular concentration curve. The model's evaluation yields outstanding results, with recall and accuracy ranging from 83 to 99% and 82.8% to 99.6%, respectively. The average recall and precision across datasets are 92.86% and 92.82%).All things considered, this study demonstrates the effectiveness of ACICA in evaluating intravascular responsiveness and presents viable paths for enhancing clinical results and diagnostic precision in the treatment of prostate cancer.

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