A Statistical Appraoch to Image Reconstruction from Projections Problem Using Recurrent Neural Network View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

David Hutchison , Takeo Kanade , Josef Kittler , Jon M. Kleinberg , Friedemann Mattern , John C. Mitchell , Moni Naor , Oscar Nierstrasz , C. Pandu Rangan , Bernhard Steffen , Madhu Sudan , Demetri Terzopoulos , Doug Tygar , Moshe Y. Vardi , Gerhard Weikum , Robert Cierniak

ABSTRACT

This paper is concerned with the image reconstruction from projections problem. The presented paper describes a reconstruction approach based on recurrent neural network. The structure of this network is designed taking into account the probabilistic nature of distortion obesrved in x-ray computed tomography. The reconstruction process is performed using in this way constructed neural network solving the optimization problem. Computer experiments show that the appropriately designed recurrent neural network is able to reconstruct an image with better quality in comparison to the standart analytical reconstruction algorithm. More... »

PAGES

138-141

Book

TITLE

Artificial Neural Networks – ICANN 2010

ISBN

978-3-642-15821-6
978-3-642-15822-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-15822-3_17

DOI

http://dx.doi.org/10.1007/978-3-642-15822-3_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012405749


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