Abstract
The impact of image processing in medical image analysis has increased enormously in recent years concurrently with the development of novel imaging modalities and new user interfaces, facilitating both image analysis and maximizing the use of information present within the images.
One of the most important imaging processing technologies addresses motion compensation. While images are assumed to contain information of a subject at one moment in time, measurements are, in general, severely hampered by the movement of the imaged organ. Specifically, physiological tissue motions give rise to strong artifacts, which vary in severity depending on the organ under investigation, the acquisition parameters (e.g., integration time and resolution), the imaging modality, and the ultimate imaging resolution, contributing in creating image distortion, blurring, and making image sequences highly unstable.
In this chapter, we present several solutions that we and other groups have recently proposed for intravital laser scanning optical imaging, which could also be easily extended to widefield fluorescence imaging.
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Vinegoni, C., Lee, S., Weissleder, R. (2015). Image Processing Technologies for Motion Compensation. In: Fong, Y., Giulianotti, P., Lewis, J., Groot Koerkamp, B., Reiner, T. (eds) Imaging and Visualization in The Modern Operating Room. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2326-7_14
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DOI: https://doi.org/10.1007/978-1-4939-2326-7_14
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