A neural network based summarizing method of periodic image sequences

Title:

A neural network based summarizing method of periodic image sequences

Creator:

Berkane, Mohamed, Clarysse, Patrick, Njiwa , Josiane Yankam , Zhu , Yue Min , and Magnin , Isabelle E.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:5e65519f-d850-4684-a3d1-a657551faacf
uuid:5e65519f-d850-4684-a3d1-a657551faacf

Subject:

Neural network, periodic motion, image sequence, and summarozed sequence

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This work relates to the study of periodic events such as the ones that can be observed in biomedicine. Currently, biological processes exhibiting a periodic behaviour can be observed through the continuous recording of signals or images. Due to various reasons, cycle duration may slightly vary over time. For further analysis, it is important to be able to extract meaningful information from the mass of acquired data. This paper presents a new neural network based method for the extraction of a summarized cycle from long and massive cycle recordings. Its concept is simple and it could be naturally implemented on a hardware architecture to speed up the process. The proposed method is demonstrated on synthetic image sequences of the beating heart, and exploited as a prior in a new approach for the fast reconstruction of Magnetic Resonance Image sequences.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2010 Volume:20 | Number:6

Harvested from:

CDK

Metadata only:

false