Tomographic reconstruction

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Related lectures (31)

Fourier Transforms in Tomography: Inversion Techniques

Covers the application of Fourier transforms in tomography, focusing on the Radon transform and its inversion techniques.

Venetian Projects: Deciphering, Mapping, and Recreating Venice

Covers projects on deciphering handwriting, mapping, and recreating Venice in 3D.

Morphological Reconstruction in Neuroscience

Explores the challenges and significance of classifying neurons based on morphology for accurate brain modeling and understanding brain function.

Sampling and Reconstruction

Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.

Tomography: Imaging and Applications

Explores principles and applications of tomography, including 3D microscopy techniques and atomic-level material reconstruction.

Tomography: Principles and Applications

Explores the principles and applications of tomography, showcasing examples of direct tomography and advanced imaging techniques.

Synchrotrons and X-ray Techniques

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

In Silico Neuroscience: Neuron Classification

Explores neuron classification in in silico neuroscience, emphasizing challenges in reconstructing neuronal morphologies and the importance of accurate classifications.

Shape from Contours

Explores shape reconstruction from contours using edge-based stereo matching and visual hull techniques for accurate 3D reconstruction.

Reconstructing Color Images: Techniques and Applications

Covers techniques for reconstructing color images using optical detection and artificial intelligence to enhance image quality and reduce noise.

Image Processing I: Dirac Impulse and Fourier Transform

Covers the abstract definition of Dirac impulse and its properties in image processing.

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