We review the concept of growth on a discrete planar grid based on eight-ne
ighbor time delays, and show that this process can be regarded as pattern g
eneration by a context-sensitive isometric array grammar. We introduce a co
ncept of growth in an environment by allowing the generation process to be
influenced by a background pattern of scalar values, and illustrate how thi
s increases the power of the model. We also demonstrate: in the domain of M
R images of MS lesions, how the environment in which a growth process occur
s can be recovered from an image. (C) 1999 Pattern Recognition Society. Pub
lished by Elsevier Science Ltd. All rights reserved.