Multi-channel mutual information using scale space

C Barillot, D R Haynor, P Hellier (Editor), D L G Hill

Research output: Chapter in Book/Report/Conference proceedingConference paper

16 Citations (Scopus)

Abstract

We propose a new voxel similarity measure which utilises local image structure and intensity information. Gaussian scale space derivatives provide the structural information. Each derivative is assigned an information channel of N-D normalised mutual information. We illustrate the behaviour of the measure for a simulated signal and 2D medical brain images and demonstrate its potential for non-rigid, inter-subject registration of 3D thorax MR images as a proof of concept.
Original languageEnglish
Title of host publicationLECT NOTE COMPUT SCI
Place of PublicationBERLIN
PublisherSpringer
Pages797 - 804
Number of pages8
ISBN (Print)3-540-22976-0
Publication statusPublished - 2004
Event7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004) - St Malo, France
Duration: 1 Jan 2004 → …

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE

Conference

Conference7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004)
Country/TerritoryFrance
CitySt Malo
Period1/01/2004 → …

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