Multichannel 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

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 nonrigid, intersubject registration of 3D thorax MR images as a proof of concept. (9 References).
Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - Proceedings of 7th International Conference
Place of PublicationBerlin, Germany
PublisherSpringer
Pages697 - 804
Number of pages108
Publication statusPublished - 2004
EventMICCAI 2004: Medical Image Computing and Computer-Assisted Intervention - 7th International Conference - ST MALO, France
Duration: 26 Sept 200429 Sept 2004

Conference

ConferenceMICCAI 2004: Medical Image Computing and Computer-Assisted Intervention - 7th International Conference
Country/TerritoryFrance
CityST MALO
Period26/09/200429/09/2004

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