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.
Year
DOI
Venue
2013
10.1109/ISBI.2013.6556490
Biomedical Imaging
Keywords
Field
DocType
computerised tomography,diseases,image reconstruction,lung,medical image processing,statistics,CT scan,IPF manifestation,expert-chosen regions of interest,image analytic methodology,image thickness,interrater agreement,interstitial pulmonary fibrosis quantitation,interval kernel,intrarater agreement,objective IPF quantification,optimal CT reconstruction parameter,parenchymal voxel,qualitative analysis,quantitative analysis,raw data,reconstruction kernel,regional statistics,Diffuse Parenchymal Lung Disease (DPLD),Interstitial Pulmonary Fibrosis (IPF),classification,reconstruction kernel,slice thickness
Nuclear medicine,Voxel,Iterative reconstruction,Computer science,Slice thickness,Interstitial pulmonary fibrosis,Radiology
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4673-6456-0
0
PageRank 
References 
Authors
0.34
0
7