Radiomic Texture Analysis Mapping Predicts Areas of True Functional MRI Activity
نویسندگان
چکیده
منابع مشابه
Radiomic Texture Analysis Mapping Predicts Areas of True Functional MRI Activity
Individual analysis of functional Magnetic Resonance Imaging (fMRI) scans requires user-adjustment of the statistical threshold in order to maximize true functional activity and eliminate false positives. In this study, we propose a novel technique that uses radiomic texture analysis (TA) features associated with heterogeneity to predict areas of true functional activity. Scans of 15 right-hand...
متن کاملMRI texture analysis predicts p53 status in head and neck squamous cell carcinoma.
BACKGROUND AND PURPOSE Head and neck cancer is common, and understanding the prognosis is an important part of patient management. In addition to the Tumor, Node, Metastasis staging system, tumor biomarkers are becoming more useful in understanding prognosis and directing treatment. We assessed whether MR imaging texture analysis would correctly classify oropharyngeal squamous cell carcinoma ac...
متن کاملDiffusion MRI and Novel Texture Analysis in Osteosarcoma Xenotransplants Predicts Response to Anti-Checkpoint Therapy
Combinations of targeted drugs have been employed to treat sarcomas, however, response rates have not improved notably, therefore emphasizing the need for novel treatments. In addition, imaging approaches to assess therapeutic response is lacking, as currently measurable indices, such as volume and/or diameter, do not accurately correlate with changes in tumor biology. In this study, quantitati...
متن کاملAnalysis of Functional MRI
A new information-theoretic approach is presented for analyzing fMRI data to calculate the brain activation map. The method is based on a formulation of the mutual information between two waveforms{ the fMRI temporal response of a voxel and the experimental protocol timeline. Scores based on mutual information are generated for all voxels and then used to compute the activation map of an experi...
متن کاملFunctional MRI lie detection: too good to be true?
Neuroscientists are now applying a 21st-century tool to an age-old question: how can you tell when someone is lying? Relying on recently published research, two start-up companies have proposed to use a sophisticated brain-imaging technique, functional magnetic resonance imaging (fMRI), to detect deception. The new approach promises significantly greater accuracy than the conventional polygraph...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2016
ISSN: 2045-2322
DOI: 10.1038/srep25295