'Image reconstruction' diaporamas de présentation

Rad T 265 CT Lecture

Rad T 265 CT Lecture. History Equipment Image Production/Manipulation. History of CT. 1895 - Roetgen discovers x-rays 1917 - Radon develops recontruction formulas 1963 - Cormack develops mathematics for x- ray absoprtion in tissue 1972 - Housfield demonstrates CT. Dateline. Dateline 2.

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X-ray diagnostics and Computed tomography

X-ray diagnostics and Computed tomography. 15th century head examination. I 0. I. Projection Imaging with X Rays. X-Ray Source. Patient. Detector. Chest X-Ray.

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FPGA Accelerated 3-D Tomography

FPGA Accelerated 3-D Tomography. Richard Dorrance Progress Update: 09/07/12. Outline. Introduction to Tomography Reconstruction Methods Analytical Backprojection Filtered Backprojection Algebraic Algebraic Reconstruction Technique (ART)

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DM: Distributed Meetings, a meeting capture and broadcasting system

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Nuclear medicine Pet/Spect

Nuclear medicine Pet/Spect. Chapters 18 to 22. Activity. Number of radioactive atoms undergoing nuclear transformation per unit time. Change in radioactive atoms N in time dt Number of radioactive atoms decreases with time (- minus sign). Activity. Expressed in Curie

1.2k views • 52 slides

Probing the Prostate with Diffusive Photons (2):

Probing the Prostate with Diffusive Photons (2): Procession of Photon Diffuse Propagation in Cylinder-Applicator Geometry. Daqing (Daching) Piao, PhD Assistant Professor of Bioengineering School of Electrical and Computer Engineering Oklahoma State University, Stillwater, OK 74078-5032.

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Single Image Super Resolution

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Topics in Medical Physics

Topics in Medical Physics. Xiaoming Zheng, PhD. School of Dentistry and Health Sciences December 2009, Chengdu. Medical Physics at CSU. Major medical imaging modalities Physics in nuclear medicine Magnetic resonance imaging Physics in computed tomography Ultrasound physics

1.2k views • 47 slides

Inter-University Centre for Astronomy and Astrophysics Pune, India.

Imaging Characteristics of Ultra-Violet Imaging Telescope (UVIT) through Numerical Simulations. by Mudit K. Srivastava. Publications of the Astronomical Society of the Pacific (PASP), 2009, 121, 621-633 Mudit K. Srivastava, Swapnil M. Prabhudesai & Shyam N. Tandon. 30 th June 2009.

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Chapter 33

Chapter 33. Biochemistry 432/832 Protein Synthesis and Degradation December 05. Announcements. Central dogma of biochemistry: DNA --> RNA --> protein. Transcription Translation. Protein Synthesis and Degradation. Outline. 33.1 Ribosome Structure and Assembly

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Computed Tomography

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Super Resolution Image Reconstruction

Super Resolution Image Reconstruction. Muharrem Mercimek 8 September 2010. Contents. Motives for Super-resolution (SR) How does SR works? Classification of SR Methods, Background Ideas on Proposal Conclusions. Motivation for Super resolution.

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Analysis of Spatio-chromatic Decorrelation for Colour Image Reconstruction

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ERL & Coherent X-ray Applications

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Imaging

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Radon Transform and Its Applications

Radon Transform and Its Applications. Guoping Zhang Department of Mathematics Morgan State University CCICADA Retreat Baltimore March 7-8, 2010. Outline. Radon transform and X-ray Tomography Generalized Radon transform Micro-local analysis and Inversion of GRT

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Coherent X-ray Diffraction (CXD) X-ray imaging of non periodic objects

Coherent X-ray Diffraction (CXD) X-ray imaging of non periodic objects Campi G ., De Caro L., Giannini C., Guagliardi A., Margonelli A., Pifferi A. INTRODUCTION Why coherent X ray diffraction (CXD )? THE CXD TECHNIQUE Limits on the experimental setup arising from sampling and coherence

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Image Alignment / Reconstruction

Image Alignment / Reconstruction. Evelyn Cueva, Matthias Ehrhardt , Paul Quinn, Shaerdan Shataer , Jordan TayloR. The Problem. Object. The Problem. Object. Ideal Sinogram. The Problem. Object. Reality. The Problem. Reconstruction. Reality. Options.

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Patch-Based Image Classification Using Image Epitomes

David Andrzejewski Computer Sciences 766 Fall 2005. Patch-Based Image Classification Using Image Epitomes. Given Positive and negative example images for a certain classification (contains face, is outdoors, etc) Do

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Research Idea

Research Idea. Lei Rao Feb. 7th, 2009. Basic Idea of Image Restoration. g (x, y). Degradation Function H. Restoration Filter (s). f (x, y). +. f* (x, y). Noise n (x, y). Question: How to reconstruct the original image f (x, y) from the observation g (x, y)?

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