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https://dspace.iiti.ac.in/handle/123456789/5747
Title: | Empirical wavelet transform based photoacoustic spectral response technique for assessment of ex-vivo breast biopsy tissues |
Authors: | Gorey, Abhijeet Vasudevan, Srivathsan |
Keywords: | Biopsy;Diseases;Histology;Tissue;Biological properties;Breast Cancer;Breast cancer diagnosis;Frequency components;Mechano-biology;Quantitative assessments;Spectral magnitudes;Spectral response;Wavelet transforms;Article;breast biopsy;breast fibroadenoma;breast tissue;breast tumor;cell proliferation;controlled study;epithelium cell;ex vivo study;histopathology;human;human tissue;photoacoustic spectroscopy;priority journal;quantitative analysis;stroma cell;wavelet transformation |
Issue Date: | 2019 |
Publisher: | Elsevier Ltd |
Citation: | Biswas, D., Gorey, A., Chen, G. C. K., Vasudevan, S., Sharma, N., Bhagat, P., & Phatak, S. (2019). Empirical wavelet transform based photoacoustic spectral response technique for assessment of ex-vivo breast biopsy tissues. Biomedical Signal Processing and Control, 51, 355-363. doi:10.1016/j.bspc.2019.02.019 |
Abstract: | Empirical wavelet transform (EWT) based Photoacoustic spectral response technique is proposed for quantitative assessment of human breast masses (e.g. normal, benign and malignant) based on tissue mechano-biological property. EWT derived parameters such as spectral magnitude and total energy of mono frequency components were utilised for quantitative analysis. Spectral magnitude of second frequency component clearly proves proliferation of epithelial cells in malignant tissues compared to normal. In addition, fibroadenoma illustrates identical energy values of both mono-components which indicates identical proliferation of epithelial and stromal cells. Subsequently, EWT features are proposed that can differentiate the breast masses with 97.5% efficiency, a significant improvement in non-invasive breast cancer diagnosis which also highly correlates with standard histopathology. © 2019 Elsevier Ltd |
URI: | https://doi.org/10.1016/j.bspc.2019.02.019 https://dspace.iiti.ac.in/handle/123456789/5747 |
ISSN: | 1746-8094 |
Type of Material: | Journal Article |
Appears in Collections: | Department of Electrical Engineering |
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