DocumentCode :
2072454
Title :
Automated initialization and region of interest detection for successful head registration of truncated CT/MR head & neck images
Author :
Steger, Sebastian ; Keil, Matthias
Author_Institution :
Dept. of Cognitive Comput. & Med. Imaging, Fraunhofer IGD, Darmstadt, Germany
fYear :
2010
fDate :
3-5 Nov. 2010
Firstpage :
1
Lastpage :
5
Abstract :
Maximization of a voxel based similarity metric like mutual information is the state of the art for the multimodal rigid registration of the head. To achieve satisfactory results the transform needs to be initialized properly and the region of interest (ROI) containing only rigid structures has to be defined in both images. In this paper we present and comprehensively evaluate an automated initialization and ROI detection method that enables the fully automated rigid registration of routinely gathered head CT and MR images.
Keywords :
biomedical MRI; computerised tomography; feature extraction; image registration; medical image processing; automated ROI detection method; automated initialization method; head registration; multimodal rigid registration; region of interest; similarity metric like mutual information; truncated CT-MR head and neck images; voxel maximization; Biomedical imaging; Head; Instruments; Neck;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4244-6559-0
Type :
conf
DOI :
10.1109/ITAB.2010.5687638
Filename :
5687638
Link To Document :
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