@inproceedings{5d4574b8b17344a7a339beeadb824b49,
title = "Longitudinal intensity normalization in the presence of multiple sclerosis lesions",
abstract = "This paper proposes a longitudinal intensity normalization algorithm for T1-weighted magnetic resonance images of human brains in the presence of multiple sclerosis lesions, aiming towards stable and consistent longitudinal segmentations. Unlike previous longitudinal segmentation methods, we propose a 4D intensity normalization that can be used as a preprocessing step to any segmentation method. The variability in intensities arising from the relapsing and remitting nature of the multiple sclerosis lesions is modeled into an otherwise smooth intensity transform based on first order auto-regressive models, resulting in smooth changes in segmentation statistics of normal tissues, while keeping the lesion information unaffected. We validated our method on both simulated and real longitudinal normal subjects and on multiple sclerosis subjects.",
keywords = "MRI, brain, intensity normalization, intensity standardization, segmentation",
author = "Snehashis Roy and Aaron Carass and Navid Shiee and Dzung Pham and Peter Calabresi and Reich, {Daniel Salo} and Prince, {Jerry L.}",
year = "2013",
doi = "10.1109/ISBI.2013.6556791",
language = "English (US)",
isbn = "9781467364546",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "1384--1387",
booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",
note = "2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",
}