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Proceedings Paper

Biologically based sensor fusion for medical imaging
Author(s): Mario Aguilar; Aaron L. Garrett
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Paper Abstract

We present an architecture for the fusion of multiple medical image modalities that enhances the original imagery and combines the complimentary information of the various modalities. The design principles follow the organization of the color vision system in humans and primates. Mainly, the design of within- modality enhancement and between-modality combination for fusion is based on the neural connectivity of retina and visual cortex. The architecture is based on a system developed for night vision applications while the first author was at MIT Lincoln Laboratory. Results of fusing various modalities are presented, including: a) fusion of T1-weighted and T2-weighted MRI images, b) fusion of PD, T1 weighted, and T2-weighted, and c) fusion of SPECT and MRI/CT. The results will demonstrate the ability to fuse such disparate imaging modalities with regard to information content and complimentarities. These results will show how both brightness and color contrast are used in the resulting color fused images to convey information to the user. In addition, we will demonstrate the ability to preserve the high spatial resolution of modalities such as MRI even when combined with poor resolution images such as from SPECT scans. We conclude by motivating the use of the fusion method to derive more powerful image features to be used in segmentation and pattern recognition.

Paper Details

Date Published: 22 March 2001
PDF: 10 pages
Proc. SPIE 4385, Sensor Fusion: Architectures, Algorithms, and Applications V, (22 March 2001); doi: 10.1117/12.421102
Show Author Affiliations
Mario Aguilar, Jacksonville State Univ. (United States)
Aaron L. Garrett, Jacksonville State Univ. (United States)

Published in SPIE Proceedings Vol. 4385:
Sensor Fusion: Architectures, Algorithms, and Applications V
Belur V. Dasarathy, Editor(s)

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