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This study’s goal is to apply Denoising Predictive Coding (DN-PC), a novel compressed sensing (CS) algorithm for reconstruction of optical coherence tomography (OCT) images of breast tissue. We have assembled an image bank of representative OCT samples of normal breast and breast cancer tissue. We apply DN-PC for compression at decreasing a-line sampling rates to evaluate a relation between reconstruction behavior and image features of breast tissue as well as compare to classic downsampling and interpolation-based methods.
Diego M. Song Cho andChristine P. Hendon
"Overall performance of compressed sensing of human breast OCT data using a predictive coding algorithm", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123670S (9 March 2023); https://doi.org/10.1117/12.2652987
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Diego M. Song Cho, Christine P. Hendon, "Overall performance of compressed sensing of human breast OCT data using a predictive coding algorithm," Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123670S (9 March 2023); https://doi.org/10.1117/12.2652987