@inproceedings{a8edec97b2f249118d6045a294389a4d,
title = "Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace",
abstract = "As optical coherence tomography (OCT) has increasingly become a standard modality for imaging the retina, automated algorithms for processing OCT data have become necessary to do large scale studies looking for changes in specific layers. To provide accurate results, many of these algorithms rely on the consistency of layer intensities within a scan. Unfortunately, OCT data often exhibits inhomogeneity in a given layer's intensities, both within and between images. This problem negatively affects the performance of segmentation algorithms and little prior work has been done to correct this data. In this work, we adapt the N3 framework for intensity inhomogeneity correction, which was originally developed to correct MRI data, to work for macular OCT data. We first transform the data to a flattened macular space to create a template intensity profile for each layer giving us an accurate initial estimate of the gain field. N3 will then produce a smoothly varying field to correct the data. We show that our method is able to both accurately recover synthetically generated gain fields and improves the stability of the layer intensities.",
keywords = "OCT, flat space, inhomogeneity correction, retina",
author = "Andrew Lang and Aaron Carass and Jedynak, {Bruno M.} and Solomon, {Sharon D.} and Calabresi, {Peter A.} and Prince, {Jerry L.}",
note = "Funding Information: This work was supported by the NIH/NEI through grant R01-EY024655 Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 ; Conference date: 13-04-2016 Through 16-04-2016",
year = "2016",
month = jun,
day = "15",
doi = "10.1109/ISBI.2016.7493243",
language = "English (US)",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "197--200",
booktitle = "2016 IEEE International Symposium on Biomedical Imaging",
}