Dynamic infrared imaging in identification of breast cancer tissue with combined image processing and frequency analysis
作者： R. Joro , A.-L. Lääperi , S. Soimakallio , R. Järvenpää , T. Kuukasjärvi
DOI: 10.1080/03091900701541240
关键词: Pixel 、 Image processing 、 Identification (information) 、 Wiener filter 、 Biomedical engineering 、 Image Series 、 Cancer 、 Frequency analysis 、 Breast cancer 、 Medicine 、 General Medicine
摘要: Five combinations of image-processing algorithms were applied to dynamic infrared (IR) images six breast cancer patients preoperatively establish optimal enhancement tissue before frequency analysis. mid-wave photovoltaic (PV) IR cameras with 320×254 and 640×512 pixels used. The signal-to-noise ratio the specificity for evaluated from image series each patient. Before processing analysis effect patient movement was minimized a stabilization program developed tested in study by stabilizing slices using surface markers set as measurement points on skin imaged breast. A mathematical equation superiority value comparison key ratios combinations. ability combination locate mammography finding compared. Our results show that data collected 640×512-pixel...
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