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PHYSICAL PRINCIPLES OF COMPUTED TOMOGRAPHY

PHYSICAL PRINCIPLES OF COMPUTED TOMOGRAPHY

PHYSICAL PRINCIPLES OF COMPUTED TOMOGRAPHY. RADIOGRAPHY LIMITATIONS. SUPERIMPOSITION DIFFICULTY IN DISTINGUISHING BETWEEN HOMOGENOUS OBJECTS OF NON-UNIFORM THICKNESS. . SUPERIMPOSITION. TISUE DIFFERENCE SENSITIVITY 5%-10%. TOMOGRAPHY ( CONVENTIONAL).

By meli
(302 views)

• Relevance • Accomplishments • Summary

• Relevance • Accomplishments • Summary

Accelerating Genome Sequencing 100X with FPGAs Olaf Storaasli - HPEC07, MIT Lincoln Labs. • Relevance • Accomplishments • Summary. 1. Increasing FPGA Relevance to HPC.

By greg
(333 views)

Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft using pMatlab and a Bladed Linux Cluster

Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft using pMatlab and a Bladed Linux Cluster

Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft using pMatlab and a Bladed Linux Cluster. Jeremy Kepner, Tim Currie, Hahn Kim, Bipin Mathew, Andrew McCabe, Michael Moore, Dan Rabinkin, Albert Reuther, Andrew Rhoades, Lou Tella and Nadya Travinin September 28, 2004.

By saeran
(217 views)

Port 1

Port 1

Manual Port Synthesis/Characteristic Mode Port Synthesis: FEKO Plate Example. FEKO Project plate_32bit. Frequency: 600MHz – 800MHz with 50MHz spacing. Input file “MANUAL_SYNTHESIS_INPUT.txt” or “CMPS_INPUT.txt”. project .mat (without the extension) . Use existing Y-matrix. Number of ports.

By kyros
(192 views)

MATLAB Programming

MATLAB Programming

MATLAB Programming . Matrix Manipulation Plotting. Matrix generation eye ones zeros diag rand repmat reshape. Vector generation linspace equi-spacing. Matrix creation. Exercise. matrix creation. rand. rand(m,n)

By alpha
(143 views)

Random Polynomials & Random Matrices

Random Polynomials & Random Matrices

Random Polynomials & Random Matrices. Anne Calder & Alan Cordero. Goals. Create 1000 random polynomials up to degree 100 Calculate the number of real zeros on average for each degree Check our results with the Kac Formula

By mariel
(98 views)

IMIIT’99 27-29 August 99 Kuala Lumpur

IMIIT’99 27-29 August 99 Kuala Lumpur

IMIIT’99 27-29 August 99 Kuala Lumpur. A Tutorial on Standards and Infrastructure in Teleradiology. Standards and Infrastructure in Teleradiology. by Ng Kwan-Hoong, PhD UMMC Ong Hang-See, PhD UNITEN B J J Abdullah, FRCR UMMC. Standards & Infrastructure in Teleradiology. Objectives.

By veata
(111 views)

Image Reconstruction

Image Reconstruction

Image Reconstruction. Bushong Chapter 4. Intro. Image reconstruction involves filtered back projection, resulting in a digital matrix, which can be post processed for additional image analysis

By nasya
(198 views)

• Relevance • Accomplishments • Summary

• Relevance • Accomplishments • Summary

Accelerating Genome Sequencing 100X with FPGAs Olaf Storaasli - HPEC07, MIT Lincoln Labs. • Relevance • Accomplishments • Summary. 1. Increasing FPGA Relevance to HPC.

By ursa
(115 views)

Scheduling Strategies for Numerical Methods on Large Scale Distributed Platforms

Scheduling Strategies for Numerical Methods on Large Scale Distributed Platforms

gl. Grand Large (INRIA UR Futur). Scheduling Strategies for Numerical Methods on Large Scale Distributed Platforms Serge G. Petiton, Guy Bergère, Lamine Aouad, Haiwa He et Benoit Hudzia En collaboration avec Tahar Kechadi (UCD, Irlande) et Isaac Scherson (UCI, USA). Introduction

By gloria
(117 views)

Efficient FPGA Implementation of QR Decomposition Using a Systolic Array Architecture

Efficient FPGA Implementation of QR Decomposition Using a Systolic Array Architecture

x. c. ×. /. +. y. s. ×. /. c. r 1. ×. r 1. s. +. r 2. ×. s. r 1. ×. r 2. c. ─. ×. r 2. State of the Art. Three types of previous implementations of Givens rotation for QR: [1] Square root free using Squared Givens Rotation (SGR) algorithm

By jenna-holloway
(324 views)

CSE5304—Project Proposal Parallel Matrix Multiplication

CSE5304—Project Proposal Parallel Matrix Multiplication

CSE5304—Project Proposal Parallel Matrix Multiplication. Tian Mi. An naive version with MPI. Result:. P 1 . P 2 . …. P i . …. P N . An naive version with MPI. P i .  P i. An naive version with MPI. Processor0 reads input file Processor0 distributes one matrix

By stacey-riddle
(89 views)

Distributed Nonnegative Matrix Factorization for Web-Scale Dyadic Data Analysis on MapReduce

Distributed Nonnegative Matrix Factorization for Web-Scale Dyadic Data Analysis on MapReduce

Distributed Nonnegative Matrix Factorization for Web-Scale Dyadic Data Analysis on MapReduce. Chao Liu, Hung- chih Yang, Jinliang Fan, Li-Wei He, Yi-Min Wang Internet Services Research Center (ISRC) Microsoft Research Redmond. Internet Services Research Center (ISRC).

By jessenia-kianoush
(335 views)

Disturbance mosaics (treefall gaps, hurricanes, fires)

Disturbance mosaics (treefall gaps, hurricanes, fires)

Disturbance mosaics (treefall gaps, hurricanes, fires). Patchy, recurrent disturbance Habitat states vary demographically Habitat states change over time Dynamics includes demographic and habitat transitions. Concepts. Structured populations Mosaic of environmental states

By blaze-berg
(94 views)

PRINCIPLES OF SPECT IMAGING  - Ι

PRINCIPLES OF SPECT IMAGING - Ι

PRINCIPLES OF SPECT IMAGING - Ι. TYPES OF ACQUISITION, IMAGE STATISTICS AND DOSE REQUIREMENTS. George Fountos MSc, Ph.D, Radiation Physicist. 1. 2. 3. Planar. Tomographic. Acquisition. 4. Planar Imaging. Detector close to the patient

By varnum
(5 views)


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