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PubMed · 11198102

A data compression method for image time series.

M S Cohen
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Abstract

Image time series for functional studies frequently vary relatively little from 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 (one byte), 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.

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AlgorithmsArtifactsHumansImage Processing, Computer-AssistedInformation Storage and RetrievalMagnetic Resonance ImagingSoftware DesignJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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M S Cohen. 2001. A data compression method for image time series.. https://pubmed.ncbi.nlm.nih.gov/11198102/

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