A computer-implemented method for visualizing airway wall abnormalities, the method comprising: acquiring Dual Energy Computed Tomography (DECT) imaging data comprising one or more image volumes representative of a bronchial tree; deriving an iodine map using the DECT imaging data; segmenting the bronchial tree from the one or more image volumes; generating a tree model representative of the bronchial tree; for each branch, using the tree model to determine an indicator of normal or abnormal thickness for the branch; identifying locations corresponding to bronchial walls in the bronchial tree using the tree model; for each branch, using the locations corresponding to bronchial walls in the bronchial tree and the iodine map to determine an indicator of normal or abnormal inflammation as measured by iodine uptake on the branch; and presenting a visualization of the bronchial tree with visual indicators at each of the locations corresponding to bronchial walls indicating whether a bronchial wall is thickened, inflamed, or both thickened and inflamed, wherein the tree model is used to determine the indicator of normal or abnormal thickness for the branch by: using the tree model to segment inner and outer walls of each airway in the bronchial tree; computing local wall thickness for each airway based on the airway's corresponding inner and outer walls; computing an overall wall thickness for each branch of the bronchial tree based on the local wall thickness computed for each airway; and for each branch, using the overall wall thickness across the branch to determine the indicator of normal or abnormal thickness for the branch, wherein the indicator of normal or abnormal thickness for the branch is determined by: identifying an artery that is adjacent to the branch using the DECT imaging data; determining the diameter of the artery; dividing the overall wall thickness across the branch by the diameter of the artery to yield a ratio for the branch; designating the branch as having abnormal thickness if the ratio is above a predetermined threshold value. acquiring Dual Energy Computed Tomography (DECT) imaging data comprising one or more image volumes representative of a bronchial tree; deriving an iodine map using the DECT imaging data; segmenting the bronchial tree from the one or more image volumes; generating a tree model representative of the bronchial tree; for each branch, using the tree model to determine an indicator of normal or abnormal thickness for the branch; identifying locations corresponding to bronchial walls in the bronchial tree using the tree model; for each branch, using the locations corresponding to bronchial walls in the bronchial tree and the iodine map to determine an indicator of normal or abnormal inflammation as measured by iodine uptake on the branch; and presenting a visualization of the bronchial tree with visual indicators at each of the locations corresponding to bronchial walls indicating whether a bronchial wall is thickened, inflamed, or both thickened and inflamed, wherein the tree model is used to determine the indicator of normal or abnormal thickness for the branch by: using the tree model to segment inner and outer walls of each airway in the bronchial tree; computing local wall thickness for each airway based on the airway's corresponding inner and outer walls; computing an overall wall thickness for each branch of the bronchial tree based on the local wall thickness computed for each airway; and for each branch, using the overall wall thickness across the branch to determine the indicator of normal or abnormal thickness for the branch, wherein the indicator of normal or abnormal thickness for the branch is determined by: identifying an artery that is adjacent to the branch using the DECT imaging data; determining the diameter of the artery; dividing the overall wall thickness across the branch by the diameter of the artery to yield a ratio for the branch; designating the branch as having abnormal thickness if the ratio is above a predetermined threshold value. using the tree model to segment inner and outer walls of each airway in the bronchial tree; computing local wall thickness for each airway based on the airway's corresponding inner and outer walls; computing an overall wall thickness for each branch of the bronchial tree based on the local wall thickness computed for each airway; and for each branch, using the overall wall thickness across the branch to determine the indicator of normal or abnormal thickness for the branch, wherein the indicator of normal or abnormal thickness for the branch is determined by: identifying an artery that is adjacent to the branch using the DECT imaging data; determining the diameter of the artery; dividing the overall wall thickness across the branch by the diameter of the artery to yield a ratio for the branch; designating the branch as having abnormal thickness if the ratio is above a predetermined threshold value. identifying an artery that is adjacent to the branch using the DECT imaging data; determining the diameter of the artery; dividing the overall wall thickness across the branch by the diameter of the artery to yield a ratio for the branch; designating the branch as having abnormal thickness if the ratio is above a predetermined threshold value.