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 language | English |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention - Proceedings of 7th International Conference |
Place of Publication | Berlin, Germany |
Publisher | Springer |
Pages | 697 - 804 |
Number of pages | 108 |
Publication status | Published - 2004 |
Event | MICCAI 2004: Medical Image Computing and Computer-Assisted Intervention - 7th International Conference - ST MALO, France Duration: 26 Sept 2004 → 29 Sept 2004 |
Conference
Conference | MICCAI 2004: Medical Image Computing and Computer-Assisted Intervention - 7th International Conference |
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Country/Territory | France |
City | ST MALO |
Period | 26/09/2004 → 29/09/2004 |