TY - JOUR
AU1 - Cohen, Mark S.
AB - 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. Hum. Brain Mapping 12:20–24, 2001. © 2001 Wiley‐Liss, Inc.
TI - A data compression method for image time series 
JF - Human Brain Mapping
DO - 10.1002/1097-0193(200101)12:1<20::AID-HBM20>3.0.CO;2-N
DA - 2001-01-01
UR - https://www.deepdyve.com/lp/wiley/a-data-compression-method-for-image-time-series-R0sEc8Ghdl
SP - 20
EP - 24
VL - 12
IS - 1
DP - DeepDyve
ER -