Quantitative Imaging

Development and analysis of imaging biomarkers for disease phenotyping and prediction of therapeutic response and survival.

Validation of automated lobe segmentation on paired inspiratory-expiratory chest CT in 8-14 year-old children with cystic fibrosis

Densitometry on paired inspiratory and expiratory multidetector computed tomography (MDCT) for the quantification of air trapping is an important approach to assess functional changes in airways diseases such as cystic fibrosis (CF). For a regional analysis of functional deficits, an accurate lobe segmentation algorithm applicable to inspiratory and expiratory scans is beneficial.

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Influence of Inspiratory/Expiratory CT Registration on Quantitative Air Trapping

Registration-based techniques applied to serial thoracic CT examinations are advancing the clinical care of patients suffering from lung disease. Although extensive research has been devoted to improving the accuracy in these algorithms (Murphy et al., 2011), little has been done to evaluate the effect of image registration on QCT metrics. We investigate sources of variability in QCT metrics as a consequence of image registration. We found, using a well-controlled cohort of subjects with cystic fibrosis, that neglecting local deformation when calculating whole-volume metrics was a significant source of variability.

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Magnetic Resonance T1 Mapping and Ultrashort Echo Time Imaging of the Lung in the Evaluation of Acute Pulmonary Exacerbation in Pediatric Cystic Fibrosis Patients, A Pilot Study

Magnetic resonance T1 mapping and ultrashort echo time (UTE) imaging of the lung in the evaluation of acute pulmonary exacerbation in pediatric cystic fibrosis patients during treatment.