CS based confocal microwave imaging algorithm for breast cancer detection

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
Y P SunL L Qu


Based on compressive sensing (CS) technology, a high resolution confocal microwave imaging algorithm is proposed for breast cancer detection. With the exploitation of the spatial sparsity of the target space, the proposed image reconstruction problem is cast within the framework of CS and solved by the sparse constraint optimization. The effectiveness and validity of the proposed CS imaging method is verified by the full wave synthetic data from numerical breast phantom using finite-difference time-domain (FDTD) method. The imaging results have shown that the proposed imaging scheme can improve the imaging quality while significantly reducing the amount of data measurements and collection time when compared to the traditional delay-and-sum imaging algorithm.


Aug 1, 2002·IEEE Transactions on Bio-medical Engineering·Elise C FearMaria A Stuchly
Apr 7, 2012·International Journal of Biomedical Imaging·Jeremie BourquiElise Fear
May 9, 2012·IEEE Transactions on Medical Imaging·Tomasz M GrzegorczykKeith D Paulsen
May 23, 2012·International Journal of Biomedical Imaging·J BourquiE C Fear

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