Alexandra R. Cunliffe

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This study examines the correlation between the radiologist-defined severity of normal tissue damage following radiation therapy (RT) for lung cancer treatment and a set of mathematical descriptors of computed tomography (CT) scan texture ('texture features'). A pre-therapy CT scan and a post-therapy CT scan were retrospectively collected under IRB approval(More)
PURPOSE The aim of this study was to quantify the effect of four image registration methods on lung texture features extracted from serial computed tomography (CT) scans obtained from healthy human subjects. METHODS Two chest CT scans acquired at different time points were collected retrospectively for each of 27 patients. Following automated lung(More)
PURPOSE The aim of this study was to compare three demons registration-based methods to identify spatially matched regions in serial computed tomography (CT) scans for use in texture analysis. METHODS Two thoracic CT scans containing no lung abnormalities and acquired during serial examinations separated by at least one week were retrospectively collected(More)
PURPOSE To assess the relationship between radiation dose and change in a set of mathematical intensity- and texture-based features and to determine the ability of texture analysis to identify patients who develop radiation pneumonitis (RP). METHODS AND MATERIALS A total of 106 patients who received radiation therapy (RT) for esophageal cancer were(More)
PURPOSE To characterize the effects of deformable image registration of serial computed tomography (CT) scans on the radiation dose calculated from a treatment planning scan. METHODS Eighteen patients who received curative doses (≥ 60 Gy, 2 Gy/fraction) of photon radiation therapy for lung cancer treatment were retrospectively identified. For each(More)
We evaluated the image registration accuracy achieved using two deformable registration algorithms when radiation-induced normal tissue changes were present between serial computed tomography (CT) scans. Two thoracic CT scans were collected for each of 24 patients who underwent radiation therapy (RT) treatment for lung cancer, eight of whom experienced(More)
arrays fabricated using sol-gel precursors Goutam Sheet, Alexandra R. Cunliffe, Erik J. Offerman, Chad M. Folkman, Chang-Beom Eom, and Venkat Chandrasekhar Department of Physics and Astronomy, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, USA Department of Materials Science and Engineering Physics, University of Wisconsin–Madison,(More)
Developments towards a magnetoelectric composite material, cobalt ferrite/bismuth ferrite are presented. In this experiment, electron beam lithography and a chemical sol gel precursor deposition method were employed to form arrays of CoFe2O4 nanopillars on SiO2 and ferroelectric BiFeO3 substrates. Tests including atomic force and magnetic force microscopy,(More)
PURPOSE To determine whether the addition of standardized uptake value (SUV) from PET scans to CT lung texture features could improve a radiomics-based model of radiation pneumonitis (RP) diagnosis in patients undergoing radiotherapy. METHODS AND MATERIALS Anonymized data from 96 esophageal cancer patients (18 RP-positive cases of Grade ≥ 2) were(More)
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