Empirical wavelet transform based photoacoustic spectral response technique for assessment of ex-vivo breast biopsy tissues
| Autor: | Abhijeet Gorey, Nornam Sharma, George C. K. Chen, Priyanka Bhagat, Srivathsan Vasudevan, Satish Phatak, Deblina Biswas |
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| Rok vydání: | 2019 |
| Předmět: |
Breast biopsy
Stromal cell medicine.diagnostic_test Chemistry 0206 medical engineering Photoacoustic imaging in biomedicine Spectral response Wavelet transform Health Informatics 02 engineering and technology medicine.disease 020601 biomedical engineering Fibroadenoma 03 medical and health sciences 0302 clinical medicine Breast cancer Signal Processing medicine 030217 neurology & neurosurgery Ex vivo Biomedical engineering |
| Zdroj: | Biomedical Signal Processing and Control. 51:355-363 |
| ISSN: | 1746-8094 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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