Abstract
Scan conversion is the process by which a polar image is transformed into Cartesian coordinates. Several image modalities such as radar and catheter based imaging modalities acquire data in a polar image format. While suitable for the acquisition process, this format poses a challenge both in displaying as well as on the analyses of the image. Intravascular optical coherence tomography (IVOCT) is a catheter-based imaging modality utilizing a polar image format. Current interpolation techniques used to fill in the uneven spacing between the lines of IVOCT images create visual artifacts and render the resulting image unsuitable for reliable analysis. We present a novel technique that estimates the unsampled pixel values between the lines of IVOCT images using the Fourier analysis of the acquired data. This technique should minimize the visual artifacts as well as provide images more reliable for further analysis.
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LightLab Imaging, Westford, MA.
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Elbasiony, A., Levkowitz, H. (2014). Scan Converting OCT Images Using Fourier Analysis. In: Iantovics, B., Kountchev, R. (eds) Advanced Intelligent Computational Technologies and Decision Support Systems. Studies in Computational Intelligence, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-319-00467-9_20
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DOI: https://doi.org/10.1007/978-3-319-00467-9_20
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