TY - GEN
T1 - Nonlinear smoothing of MR images using approximate entropy — A local measure of signal intensity irregularity
AU - Parker, Geoffrey J.M.
AU - Schnabel, Julia A.
AU - Barker, Gareth J.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.
PY - 1999
Y1 - 1999
N2 - Approximate entropy (ApEn) is a computable measure of sequential irregularity that is applicable to sequences of numbers of finite length. As such, it may be used to determine how random a sequence of numbers is. We exploit this property to determine the relevance of image information; to determine whether a spatial signal intensity distribution varies in a regular fashion — and is therefore likely to be an image feature or image texture, or is highly random — and likely to be noise. We present an outline of two possible methodologies for creating an ApEn-based noise filter: a modified median filter and a modified anisotropic diffusion scheme. We show that both approaches lead to effective noise reduction in MR images, with improved information-retaining properties when compared with their conventional counterparts.
AB - Approximate entropy (ApEn) is a computable measure of sequential irregularity that is applicable to sequences of numbers of finite length. As such, it may be used to determine how random a sequence of numbers is. We exploit this property to determine the relevance of image information; to determine whether a spatial signal intensity distribution varies in a regular fashion — and is therefore likely to be an image feature or image texture, or is highly random — and likely to be noise. We present an outline of two possible methodologies for creating an ApEn-based noise filter: a modified median filter and a modified anisotropic diffusion scheme. We show that both approaches lead to effective noise reduction in MR images, with improved information-retaining properties when compared with their conventional counterparts.
UR - http://www.scopus.com/inward/record.url?scp=84856241231&partnerID=8YFLogxK
U2 - 10.1007/3-540-48714-x_50
DO - 10.1007/3-540-48714-x_50
M3 - Conference contribution
AN - SCOPUS:84856241231
SN - 3540661670
SN - 9783540661672
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 484
EP - 489
BT - Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings
A2 - Kuba, Attila
A2 - Samal, Martin
A2 - Todd-Pokropek, Andrew
PB - Springer Verlag
T2 - 16th International conference on Information Processing in Medical Imaging, IPMI 1999
Y2 - 28 June 1999 through 2 July 1999
ER -