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Proceedings Paper

Joint intensity fusion with normalized cross-correlation metric for cross-modality MRI synthesis (Conference Presentation)
Author(s): Kathryn Ufford; Simon Vandekar; Ipek Oguz

Paper Abstract

In this work, we extend the joint-intensity fusion (JIF) algorithm to use normalized cross-correlation (NCC) as the weighting metric for use in the context of cross-modality MRI synthesis, rather than sum squared intensity differences (SSD). We evaluate our method using the Kirby dataset, by synthesizing a representative FLAIR from a target subject’s T1w image. The accuracy of the synthetic FLAIR can be confirmed using the FLAIR taken for the target subject during the imaging session. For each subject in the dataset, using NCC with JIF results in a 51% lower mean absolute error than using SSD.

Paper Details

Date Published: 17 March 2020
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Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 1131304 (17 March 2020); doi: 10.1117/12.2550009
Show Author Affiliations
Kathryn Ufford, Vanderbilt Univ. (United States)
Simon Vandekar, Vanderbilt Univ. Medical Ctr. (United States)
Ipek Oguz, Vanderbilt Univ. (United States)


Published in SPIE Proceedings Vol. 11313:
Medical Imaging 2020: Image Processing
Ivana Išgum; Bennett A. Landman, Editor(s)

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