radiomics
Pronunciation: ray-dee-OH-miks
High-throughput extraction and analysis of quantitative imaging features to support clinical decision-making.
Full Definition
Radiomics is an emerging field that involves the systematic extraction of large numbers of quantitative features from medical images using computational algorithms. These features characterize tissue properties such as intensity, shape, texture, and spatial relationships that may not be visible to the human eye. In neuroimaging, radiomics approaches are being applied to improve diagnosis, predict treatment response, and assess prognosis in conditions such as brain tumors, stroke, and neurodegenerative diseases. The technique requires sophisticated image processing, feature selection methods, and machine learning approaches to identify clinically meaningful patterns.
Usage
Usage note: Increasingly important in precision medicine applications.
In Context
- "The radiomics analysis identified texture features predictive of treatment response in glioblastoma patients." — Research publication
- "Implementation of radiomics workflows requires standardized image acquisition and robust feature extraction protocols." — Technical specification document