Multidimensional signal processing | Inverse problems | Signal processing
Tomographic reconstruction is a type of multidimensional inverse problem where the challenge is to yield an estimate of a specific system from a finite number of projections. The mathematical basis for tomographic imaging was laid down by Johann Radon. A notable example of applications is the reconstruction of computed tomography (CT) where cross-sectional images of patients are obtained in non-invasive manner. Recent developments have seen the Radon transform and its inverse used for tasks related to realistic object insertion required for testing and evaluating computed tomography use in airport security. This article applies in general to reconstruction methods for all kinds of tomography, but some of the terms and physical descriptions refer directly to the reconstruction of X-ray computed tomography. (Wikipedia).
CT (Computed Tomography) Scans - A Level Physics
A basic description of the mechanism of CT (computed tomography) scans for medical use in remote sensing. Part of the A Level Physics revision series.
From playlist A Level Physics Revision
Tim Salditt - Phase Retrieval & Tomographic Reconstruction in X-ray Near-field Diffractive Imaging
Recorded 11 October 2022. Tim Salditt of the Georg-August-Universität zu Göttingen presents "Phase Retrieval and Tomographic Reconstruction in X-ray Near-field Diffractive Imaging: Inverse Problems at Work - An Experimentalist’s View" at IPAM's Diffractive Imaging with Phase Retrieval Work
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Learned image reconstruction for high-resolution (...) - Betcke - Workshop 3 - CEB T1 2019
Marta Betcke (University College London) / 05.04.2019 Learned image reconstruction for high-resolution tomographic imaging. Recent advances in deep learning for tomographic reconstructions have shown a great promise to create accurate and high quality images from subsampled measurements
From playlist 2019 - T1 - The Mathematics of Imaging
Fourier Series Reconstruction On Map Contours using Matlab
Follow up to : https://youtu.be/I6tQb5Ik8Do #Fourier #maps #matlab @matlab Here, we show how the 2D shapes can be reconstructed from Fourier series components. Basically, for each additive Fourier component the 2D Contour is created until the whole spectra is utilized. The animation and
From playlist Electromagnetic Animations
Reconstruction and the Sampling Theorem
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the conditions under which a continuous-time signal can be reconstructed from its samples, including ideal bandlimited interpolati
From playlist Sampling and Reconstruction of Signals
Frequency Domain Interpretation of Sampling
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the effect of sampling a continuous-time signal in the frequency domain through use of the Fourier transform.
From playlist Sampling and Reconstruction of Signals
Alberto Bartesaghi - High-throughput cryo-ET: from data acquisition to high-resolution structures
Recorded 18 November 2022. Alberto Bartesaghi of Duke University presents "High-throughput cryo-ET: from data acquisition to high-resolution structures" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: Tomographic reconstruction of frozen-hydrated specimens followed by ext
From playlist 2022 Cryo-Electron Microscopy and Beyond
Practical Reconstruction - The Zero-Order Hold
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Practical reconstruction of continuous-time signals from sampling using the zero-order hold and analog anti-imaging filtering.
From playlist Sampling and Reconstruction of Signals
Dr Nick Polydorides - University of Edinburgh
Bio Nick Polydorides is a Senior Lecturer in the Institute for Digital Communications, at the School of Engineering at Edinburgh University. He was joined Edinburgh in fall 2013 from the MIT-established Cyprus Institute where he was an Assistant Professor. Prior to that he held postdoctor
From playlist Short Talks
Albert Fannjiang - From Tomographic Phase Retrieval to Projection Tomography - IPAM at UCLA
Recorded 11 October 2022. Albert Fannjiang of the University of California, Davis, presents "From Tomographic Phase Retrieval to Projection Tomography" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: We analyze measurement schemes under which 3D unwrapped phase retri
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Online-Vortrag "Blick in den Körper: Über das Inverse und medizinische Bildgebung" (Director's Cut)
Aufzeichnung (Director's Cut): Prof. Dr. Benedikt Wirth erläutert im Rahmen der öffentlichen Reihe "Brücken in der Mathematik" die mathematischen Konzepte hinter der medizinischen Bildgebung. Darum geht es: Moderne Technik erlaubt den Blick in den Körper, ohne ihn zu öffnen. Es wird sozu
From playlist Brücken in der Mathematik
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
Online-Vortrag "Blick in den Körper: Über das Inverse und medizinische Bildgebung" (Livestream)
Der Vortrag beginnt bei Minute 10:20! Aufzeichnung des Livestreams (inkl. Livechat). Teil der Vortragsreihe "Brücken in der Mathematik" des Exzellenzclusters Mathematik Münster, diesmal mit Prof. Dr. Benedikt Wirth. Dies ist die Original-Aufzeichnung des Livestreams. Hier finden Sie den "
From playlist Brücken in der Mathematik
Ayelet Heimowitz - Center of Mass Alignment for Noisy Tomographic Projections - IPAM at UCLA
Recorded 17 November 2022. Ayelet Heimowitz of Ariel University presents "Center of Mass Alignment for Noisy Tomographic Projections" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: Under the weak-phase object approximation, the center of mass of a 3-D macromolecule is pr
From playlist 2022 Cryo-Electron Microscopy and Beyond
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 43-MLS est & inversion
Professor Stephen Boyd Samsung Professor in the School of Engineering Director of the Information Systems Laboratory To follow along with the course schedule and syllabus, visit: https://web.stanford.edu/class/engr108/ To view all online courses and programs offered by Stanford, visit:
From playlist Stanford ENGR108: Introduction to Applied Linear Algebra —Vectors, Matrices, and Least Squares
Sebastian Seung - Petascale connectomics and beyond - IPAM at UCLA
Recorded 10 October 2022. Sebastian Seung of Princeton University presents "Petascale connectomics and beyond" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Abstract: A connectome represents brain connectivity as a directed graph in which nodes are neurons and edges are syna
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Mikhail Kudryashev - High throughput, high performance algorithms for high res subtomogram averaging
Recorded 16 November 2022. Mikhail Kudryashev of the Stiftung Max-Delbrück-Centrum für Molekulare Medizin presents "High throughput, high performance algorithms for high resolution subtomogram averaging" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: Subtomogram averagin
From playlist 2022 Cryo-Electron Microscopy and Beyond
http://www.nucleushealth.com/ - This 3D medical animation shows the anatomy and physiology of skin and demonstrates an excisional biopsy a surgical techniques commonly used to obtain a sample tissue of suspected skin disorder. A skin biopsy is used to view under a microscope and make a dia
From playlist Healthcare Patient Education Animations