Two-dimensional Forward-Backward Time-Stepping approach for tumor detection in dispersive breast tissues

This paper presents a new approach of Forward-Backward Time-Stepping (FBTS) utilizing Finite-Difference Time-Domain (FDTD) method with Overset Grid Generation (OGG) method to solve the inverse scattering problems for electromagnetic (EM) waves. The proposed FDTD method is combined with OGG method to reduce the geometrically complex problem to a simple set of grids. The grids can be modified easily without the need to regenerate the grid system, thus, it provide an efficient approach to integrate with the FBTS technique. Here, the characteristics of the EM waves are analyzed. For the research mentioned in this paper, the 'measured' signals are syntactic data generated by FDTD simulations. While the 'simulated' signals are the calculated data. The accuracy of the proposed approach is validated. Good agreements are obtained between simulation data and measured data. The proposed approach has the potential to provide useful quantitative information of the unknown object particularly for shape reconstruction, object detection and others.

show abstract

“…Initiating the FBTS technique, the optimization problem is formulated in the form of cost functional to be minimized [31].…”

Section: Figure 1 Configuration Of Fbts Technique In 2-d Viewmentioning

confidence: 99%

A New Approach for Solving Inverse Scattering Problems with Overset Grid Generation Method

Azman¹,

Sahrani

Ping

et al. 2017

TELKOMNIKA

View full text Add to dashboard Cite

show abstract

“…The notion of iterative spatial filtering imposed on the reconstructed profiles was also integrated into the solution [21]. Most research studies related to FBTS have been applied to breast imaging with either real-like phantom breast model [22][23][24][25][26] or simple objects taken after breast profiles [19][20][21]27]. Therefore, the proposed method was analysed against intrinsic problem of inverse scattering to reconstruct tumour in lung profiles' distribution in this research work.…”

Section: Introductionmentioning

confidence: 99%

Automated Scaling Region of Interest With Iterative Edge Preserving in Forward-Backward Time-Stepping

Nawawi¹,

Sahrani²,

Ping³

2018

PIER M

Self Cite

View full text Add to dashboard Cite

A one-shot rescaling process, namely Automated Scaling Region of Interest (AS-ROI), is combined with an inversion technique of Forward-Backward Time-Stepping (FBTS). The purpose is to alleviate the ill-posedness and nonlinearity of inverse problem by reducing the size of the unknown problem. The inversion solution is carried out to reconstruct tumour as an unknown object in coarse investigation domain of lung area which is then rescaled down corresponding to object location and size. In this paper, edge preserving methods consisting of edge preserving regularization and anisotropic diffusion are imposed alternately on the solution and reconstructed profiles to improve the current method of AS-ROI. Results on the reconstructed lungs and tumours give significant insight of the proposed work. Accuracy level for the reconstructed profiles are significantly improved in spite that spatial resolution is retained as the original setting of FBTS.

show abstract

“…To overcome this problem, it is suggested to use time-domain based technique. Time-domain based technique has demonstrated the ability to reconstruct the distribution of dielectric properties more accurately [24][25][26][27][28]. Currently, time-domain based technique includes Lagrange multipliers technique by Rekanos [24], time-domain inverse scattering by Winters et al [25] and FBTS method by Takenaka et al [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications

Yong¹,

Ping²,

Sahrani³

et al. 2017

PIER M

Self Cite

View full text Add to dashboard Cite

Abstract-A regularization is integrated with Forward-Backward Time-Stepping (FBTS) method which is formulated in time-domain utilizing Finite-Difference Time-Domain (FDTD) method to solve the nonlinear and ill-posed problem arisen in the microwave inverse scattering problem. FBTS method based on a Polak-Ribiète-Polyak conjugate gradient method is easily trapped in the local minima. Thus, we extend our work with the integration of edge-preserving regularization technique due to its ability to smooth and preserve the edges containing important information for reconstructing the dielectric profiles of the targeted object. In this paper, we propose a deterministic relaxation with Mean Square Error algorithm known as DrMSE in FBTS and integrate it with the automated edge-preserving regularization technique. Numerical simulations are carried out and prove that the reconstructed results are more accurate by calculating the edge-preserving parameter automatically.

show abstract

Two-dimensional Forward-Backward Time-Stepping approach for tumor detection in dispersive breast tissues

Abstract: Abstract-The

Cited by 10 publications

References 14 publications

A New Approach for Solving Inverse Scattering Problems with Overset Grid Generation Method

A New Approach for Solving Inverse Scattering Problems with Overset Grid Generation Method

Automated Scaling Region of Interest With Iterative Edge Preserving in Forward-Backward Time-Stepping

Profile Reconstruction Utilizing Forward-Backward Time-Stepping With the Integration of Automated Edge-Preserving Regularization Technique for Object Detection Applications

Contact Info

Product

Resources

About