Image Processing II: Reconstruction from Projections

Related lectures (32)

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Explores collimation in biomedical imaging, discussing its impact on resolution and sensitivity.

Explores advancements in miniaturized x-ray sources and detectors for improved medical imaging and non-destructive testing.

Explores x-ray tomography principles, including generation, interaction with matter, detection methods, and practical examples.

Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.

Explores synchrotrons, X-ray techniques, Hough transform, Radon transform, and back projections in X-ray tomography.

Explains linear attenuation coefficient, photon absorption, scattering, and typical attenuation coefficients for materials.

Covers the basics of x-rays, including generation, interactions, and applications in imaging and scattering techniques.

Explores X-ray imaging techniques in synchrotron science, covering various scales and structural complexities of materials.

Explores backprojection, reconstruction techniques, Fourier Slice Theorem, Filtered Backprojection, and algebraic methods in image processing.

Explores large-area sensors, covering flat panel imagers, X-ray imaging, medical imaging, and particle detection.