@inproceedings{bfe11b485d4f4b118a2b9e0fa0c390e6,
title = "Landscaping the effect of CT reconstruction parameters: Robust Interstitial Pulmonary Fibrosis quantitation",
abstract = "Inter- and intra-rater agreement in assessing Interstitial Pulmonary Fibrosis (IPF) on CT scans is poor. Lack of approaches to understand the nuances of CT reconstruction parameters and their effect on patient scans hampers objective IPF quantification. In this paper, we propose an image analytic methodology to characterize the relationship between CT reconstruction parameters and IPF manifestation in scans. The raw data acquired from a patient was reconstructed with a combination of image thickness, interval and reconstruction kernels to derive 104 datasets. Quantitative and qualitative analyses were performed on the regional statistics computed in the neighborhood of each parenchymal voxel and for expert-chosen regions of interest (ROIs). The proposed approach could facilitate the selection of optimal CT reconstruction parameters to more robustly quantify IPF.",
keywords = "Diffuse Parenchymal Lung Disease (DPLD), Interstitial Pulmonary Fibrosis (IPF), classification, reconstruction kernel, slice thickness",
author = "S. Raghunath and S. Rajagopalan and Karwoski, {R. A.} and Bruesewitz, {M. R.} and McCollough, {C. H.} and Bartholmai, {B. J.} and Robb, {R. A.}",
year = "2013",
doi = "10.1109/ISBI.2013.6556490",
language = "English (US)",
isbn = "9781467364546",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "374--377",
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",
}