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Medical Imaging 2016
October 20-21, 2016
Volume 5, Issue 5(Suppl)
OMICS J Radiol
ISSN: 2167-7964 ROA, an open access journal
conferenceseries
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October 20-21, 2016 Chicago, USA
International Conference on
Medical Imaging & Diagnosis
OMICS J Radiol 2016, 6:5(Suppl)
http://dx.doi.org/10.4172/2167-7964.C1.010Harmonization of imaging acquisition in radiogemics
Binsheng Zhao
Columbia University Medical Center, USA
A
n increasing body of publications has reported the value of radiographic image features (radiomics features) for
linking genetic alterations in certain cancer types using multiple imaging modalities. The findings were mostly based
on retrospective analysis of imaging data from previous studies that were not designed for quantitative characterization
of tumors. Despite the large variety of CT scanner types, imaging acquisition techniques, reconstruction parameters and
tumor segmentation and quantification tools, little is known about the effects of such variations on radiomics features. We
extracted radiomics image features to describe tumor size, shape, margin, density statistics (histogram-based) and density
texture distributions and studied the effects of the various factors during the imaging acquisition and tumor measurement
on the radiomics image features using both phantom and in-vivo lesions. Our findings suggest that radiomic features are
reproducible over a wide range of CT imaging settings. Radiation dose, CT slice thickness and reconstruction affect radiomics
features to different degrees; tumor texture features are more sensitive to the imaging settings compared to the size and shape
related features. Our findings will raise awareness of importance of properly utilizing imaging and setting image acquisition
parameters in radio genomics research.
bz2166@cumc.columbia.edu