MICA is an imaging clustering analysis method that employs imaging-based metrics at local and global scales of the human lungs constructed from 3D computed tomography (CT) lung images to identify homogeneous subgroups, known as clusters, in healthy, asthma and COPD populations. It allows to bridge individual and population scales and explore the notion of cluster-guided computational fluid dynamics (CFD) analysis.
Haghighi, B., S. Choi, J. Choi, E.A. Hoffman, A.P. Comellas, J.D. Newell Jr., C.H. Lee, R.G. Barr, E. Bleecker, C.B. Cooper, D. Couper, M. Han, N.N. Hansel, R.E. Kanner, E.A. Kazerooni1, E.A C Kleerup, F.J. Martinez, W. O’Neal, S.I Rennard, B.M. Smith, P.G. Woodruff, and C.-L. Lin, “Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS),” Respiratory Research, 20(1):153, 2019.
Choi, J., L.J. LeBlanc, S. Choi, B. Haghighi, E.A. Hoffman, P. O’Shaughnessy, S.E. Wenzel, M. Castro, S. Fain, N. Jarjour, M.L. Schiebler, L. Denlinger, R. Delvadia, R. Walenga, A. Babiskin, C.-L. Lin, “Differences in Particle Deposition Between Members of Imaging-Based Asthma Clusters,” Journal of Aerosol Medicine and Pulmonary Drug Delivery, 32:1-11, 2019.
Haghighi, B., S. Choi, J. Choi, E.A. Hoffman, A.P. Comellas, J.D. Newell Jr., R.G. Barr, E. Bleecker, C.B. Cooper, D. Couper, M. Han, N.N. Hansel, R.E. Kanner, E.A. Kazerooni1, E.A C Kleerup, F.J. Martinez, W. O’Neal, S.I Rennard, P.G. Woodruff, and C.-L. Lin, “Imaging-Based Clusters in Current Smokers of the COPD Cohort Associate with Clinical Characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS),” Respiratory Research, 19(1):178, 2018.
Lin, C.-L., S. Choi, B. Haghighi, J. Choi and E.A. Hoffman, “Cluster-Guided Multiscale Lung Modeling via Machine Learning,” Handbook of Materials Modeling: Applications: Current and Emerging Materials, Springer, page 1-20, 2018.
Choi, S., E.A. Hoffman, S.E. Wenzel, M. Castro, S.B. Fain, N.N. Jarjour, M.L. Schiebler, K. Chen, C.-L. Lin, for the National Heart, Lung and Blood Institute’s Severe Asthma Research Program, “Quantitative computed tomography imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes,” Journal of Allergy and Clinical Immunology, 140(3):690-700, 2017.