Uncertainty measurement of radiomics features against inherent quantum noise in computed tomography imaging.
Shu-Ju TuWei-Yuan ChenChen-Te WuPublished in: European radiology (2021)
• Quantum noise is a random process and is intrinsic to X-ray-based imaging systems. This inherent quantum noise creates unpredictable fluctuations in the gray-level intensities of image pixels. Extra cautions and further validations are strongly recommended when unstable radiomics features are selected by a predictive model for disease classification or treatment outcome prognosis. • We addressed and used the statistical quantity of percentage uncertainty to measure the uncertainty of radiomics features against the inherent quantum noise in computed tomography (CT) images. • A clinical multi-detector CT scanner, two homogeneous phantom sets, and four heterogeneous samples were used in the stability measurement. A solid tumor tissue removed from a male BALB/c mouse was included in the heterogeneous sample.
Keyphrases
- dual energy
- image quality
- computed tomography
- contrast enhanced
- molecular dynamics
- air pollution
- deep learning
- high resolution
- positron emission tomography
- magnetic resonance imaging
- lymph node metastasis
- monte carlo
- energy transfer
- magnetic resonance
- machine learning
- optical coherence tomography
- squamous cell carcinoma
- mass spectrometry