Multimodality fusion of physiological images using regularization theory and deformable models

Jagath C. Rajapakse; Richard M. Wasserman; Raj S. Acharya

doi:10.1117/12.174398

1 May 1994 Multimodality fusion of physiological images using regularization theory and deformable models

Jagath C. Rajapakse, Richard M. Wasserman, Raj S. Acharya

Proceedings Volume 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images; (1994) https://doi.org/10.1117/12.174398
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

A common medical diagnostic problem is the determination of physiological function. MRI and CT are somewhat dissimilar but complementary imaging technologies. While CT provides excellent information regarding internal bony structures, MRI has proven to be superior in the production of high contrast images of soft tissue. The integration of these two modalities will ameliorate solutions to problems which require highly accurate mappings of anatomical features. PET imagery presents an accurate view of physiological function but little anatomical information. The ability to integrate quantitative information from these complementary modalities will result in improved medical analysis and subsequent improvements in patient care. We consider the problem of multimodality data fusion as an extension of regularization theory. Directionally controlled continuity stabilizers are utilized in the reconstruction process. The fusion method presented in this paper can deal with surface discontinuities of an arbitrary order. The fusion methodology presented can handle with data sets belonging to different visual cues.

Citation Download Citation

Jagath C. Rajapakse, Richard M. Wasserman, and Raj S. Acharya "Multimodality fusion of physiological images using regularization theory and deformable models", Proc. SPIE 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images, (1 May 1994); https://doi.org/10.1117/12.174398

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