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Quantitative region-of-interest tomography using variable field of view.

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    This study introduces region-of-interest tomography for X-ray computed tomography, enabling high-quality imaging of specific areas within larger samples. The method requires careful projection selection based on the entire object

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    Area of Science:

    • Medical Imaging
    • Physics
    • Materials Science

    Background:

    • Accurate imaging of specific regions within larger samples is crucial in X-ray computed tomography (CT).
    • Reconstructing a region of interest (ROI) solely from limited projection data within that ROI is challenging without prior information.
    • Existing methods may struggle with quantitative contrast preservation in reconstructed ROIs.

    Purpose of the Study:

    • To develop and present a novel region-of-interest tomography approach for X-ray CT.
    • To enable high-quality reconstruction of a specific ROI within a larger object.
    • To maintain quantitative contrast in the reconstructed ROI images.

    Main Methods:

    • Proposing a region-of-interest tomography method utilizing projections from different fields of view.
    • Implementing a specific angular sampling scheme within a single tomographic experiment.
    • Developing a stable reconstruction procedure for the ROI.

    Main Results:

    • The proposed method successfully reconstructs high-quality images of the ROI.
    • Quantitative contrast is preserved in the reconstructed ROI images.
    • Analysis confirms the minimum projection requirement depends on the entire object's size, not just the ROI.

    Conclusions:

    • The developed region-of-interest tomography provides a stable and effective solution for targeted imaging in X-ray CT.
    • The findings highlight the importance of considering the entire sample's dimensions when determining projection requirements.
    • This technique enhances the utility of X-ray CT for detailed analysis of specific internal structures.