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Titolo:
A data compression method for image time series
Autore:
Cohen, MS;
Indirizzi:
Univ Calif Los Angeles, Brain Mapping Div, Ahmanson Lovelace Brain MappingCtr, Los Angeles, CA 90095 USA Univ Calif Los Angeles Los Angeles CA USA 90095 Los Angeles, CA 90095 USA
Titolo Testata:
HUMAN BRAIN MAPPING
fascicolo: 1, volume: 12, anno: 2001,
pagine: 20 - 24
SICI:
1065-9471(200101)12:1<20:ADCMFI>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
DIGITAL SUBTRACTION ANGIOGRAPHY; SENSORY STIMULATION; GD-DTPA; BREAST;
Keywords:
compression; fMRI; PACS; Gzip; compression ratio; compression/expansion time;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
8
Recensione:
Indirizzi per estratti:
Indirizzo: Cohen, MS Univ Calif Los Angeles, Brain Mapping Div, Ahmanson Lovelace Brain MappingCtr, 660 Charles E Young Dr S, Los Angeles, CA 90095 USA Univ Calif Los Angeles 660 Charles E Young Dr S Los Angeles CA USA 90095
Citazione:
M.S. Cohen, "A data compression method for image time series", HUM BRAIN M, 12(1), 2001, pp. 20-24

Abstract

Image time series for functional studies frequently vary relatively littlefrom one time point to the next. We describe here a method of lossless file compression that calculates the change in signal intensity as a char (onebyte), as opposed to a short or long integer (usually two or four bytes), thus resulting in a compressed file size just over half the size of the original (a 2:1 compression ratio). The calculations and format are exceedingly simple; the compression time is comparable to the time required for a file copy, and is thus transparent to most users. The approach works equally well on any integer-based scanning modality, such as PET, CT, or DSA. Our purpose in this communication is to advocate it as a potential standard, to promote free interchange of scan data. (C) 2001 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 01/04/20 alle ore 21:01:29