Literature DB >> 26552095

Direct Extraction of Tumor Response Based on Ensemble Empirical Mode Decomposition for Image Reconstruction of Early Breast Cancer Detection by UWB.

Qinwei Li, Xia Xiao, Liang Wang, Hang Song, Hayato Kono, Peifang Liu, Hong Lu, Takamaro Kikkawa.   

Abstract

A direct extraction method of tumor response based on ensemble empirical mode decomposition (EEMD) is proposed for early breast cancer detection by ultra-wide band (UWB) microwave imaging. With this approach, the image reconstruction for the tumor detection can be realized with only extracted signals from as-detected waveforms. The calibration process executed in the previous research for obtaining reference waveforms which stand for signals detected from the tumor-free model is not required. The correctness of the method is testified by successfully detecting a 4 mm tumor located inside the glandular region in one breast model and by the model located at the interface between the gland and the fat, respectively. The reliability of the method is checked by distinguishing a tumor buried in the glandular tissue whose dielectric constant is 35. The feasibility of the method is confirmed by showing the correct tumor information in both simulation results and experimental results for the realistic 3-D printed breast phantom.

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Year:  2015        PMID: 26552095     DOI: 10.1109/TBCAS.2015.2481940

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  5 in total

1.  Deep Learning-Based Real-Time Discriminate Correlation Analysis for Breast Cancer Detection.

Authors:  Manisha Bhende; Anuradha Thakare; Bhasker Pant; Piyush Singhal; Swati Shinde; V Saravanan
Journal:  Biomed Res Int       Date:  2022-06-28       Impact factor: 3.246

2.  MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection.

Authors:  Alan W Preece; Ian Craddock; Mike Shere; Lyn Jones; Helen L Winton
Journal:  J Med Imaging (Bellingham)       Date:  2016-07-20

3.  Multiresolution-Based Singular Value Decomposition Approach for Breast Cancer Image Classification.

Authors:  Suman Mann; Amit Kumar Bindal; Archana Balyan; Vijay Shukla; Zatin Gupta; Vivek Tomar; Shahajan Miah
Journal:  Biomed Res Int       Date:  2022-08-11       Impact factor: 3.246

4.  Preliminary Results of a New Auxiliary Mechatronic Near-Field Radar System to 3D Mammography for Early Detection of Breast Cancer.

Authors:  Ashkan Ghanbarzadeh Dagheyan; Ali Molaei; Richard Obermeier; Andrew Westwood; Aida Martinez; Jose Angel Martinez Lorenzo
Journal:  Sensors (Basel)       Date:  2018-01-25       Impact factor: 3.576

Review 5.  Review of Microwaves Techniques for Breast Cancer Detection.

Authors:  Maged A Aldhaeebi; Khawla Alzoubi; Thamer S Almoneef; Saeed M Bamatraf; Hussein Attia; Omar M Ramahi
Journal:  Sensors (Basel)       Date:  2020-04-22       Impact factor: 3.576

  5 in total

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