BibTex format
@article{Yang:2021:10.1109/TMI.2021.3094660,
author = {Yang, J and Angelini, ED and Balte, PP and Hoffman, EA and Austin, JHM and Smith, BM and Barr, RG and Laine, AF},
doi = {10.1109/TMI.2021.3094660},
journal = {IEEE Transactions on Medical Imaging},
pages = {3652--3662},
title = {Novel subtypes of pulmonary emphysema based on spatially-informed lung texture learning: the multi-ethnic study of atherosclerosis (MESA) COPD study.},
url = {http://dx.doi.org/10.1109/TMI.2021.3094660},
volume = {40},
year = {2021}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease (COPD), and is traditionally subcategorized into three subtypes previously identified on autopsy. Unsupervised learning of emphysema subtypes on computed tomography (CT) opens the way to new definitions of emphysema subtypes and eliminates the need of thorough manual labeling. However, CT-based emphysema subtypes have been limited to texture-based patterns without considering spatial location. In this work, we introduce a standardized spatial mapping of the lung for quantitative study of lung texture location and propose a novel framework for combining spatial and texture information to discover spatially-informed lung texture patterns (sLTPs) that represent novel emphysema subtype candidates. Exploiting two cohorts of full-lung CT scans from the MESA COPD (n=317) and EMCAP (n=22) studies, we first show that our spatial mapping enables population-wide study of emphysema spatial location. We then evaluate the characteristics of the sLTPs discovered on MESA COPD, and show that they are reproducible, able to encode standard emphysema subtypes, and associated with physiological symptoms.
AU - Yang,J
AU - Angelini,ED
AU - Balte,PP
AU - Hoffman,EA
AU - Austin,JHM
AU - Smith,BM
AU - Barr,RG
AU - Laine,AF
DO - 10.1109/TMI.2021.3094660
EP - 3662
PY - 2021///
SN - 0278-0062
SP - 3652
TI - Novel subtypes of pulmonary emphysema based on spatially-informed lung texture learning: the multi-ethnic study of atherosclerosis (MESA) COPD study.
T2 - IEEE Transactions on Medical Imaging
UR - http://dx.doi.org/10.1109/TMI.2021.3094660
UR - https://www.ncbi.nlm.nih.gov/pubmed/34224349
UR - https://ieeexplore.ieee.org/document/9474340
VL - 40
ER -