Naslov
4D Medical Data Compression Architecture

Autori
Žagar, Martin

Vrsta, podvrsta i kategorija knjige
Autorske knjige, monografija, znanstvena

Izdavač
Lambert Academic Publishing

Grad
Saarbrücken

Godina
2011

Stranica
188

ISBN
978-3-8465-4361-0

Ključne riječi
4D medical datasets; time and frequency redundancy; 3D wavelet transform; motion field

Sažetak
Motion in time is analyzed through motion estimation based on neural networks. Motion estimation is used to eliminate a large amount of temporal and frequency redundancies that exists in sequences of 3D data. Combination of segmentation, block matching and motion field prediction along with expert knowledge are incorporated to achieve better performance. Frequency analysis is done through an extension of wavelet transformations to three dimensions. For still volume objects different wavelet packets with different filter banks can be constructed, providing a wide range of frequency analysis. With combination of removing temporal and spatial redundancies, very high compression ratio is achived. The suggested data compression architecture can be implemented in telemedicine to improve the quality of service. It incorporates operations for frequency and time analysis of datasets, creating kernel shapes and models, and fitting of medical 4D datasets. Each part of the system architecture is implemented independently and can be used for other approaches such as entertainment applications and other new applications that use 4D data.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Temeljne medicinske znanosti

POVEZANOST RADA