Sparse sampling computed tomography (SpSCT) for detection of pulmonary embolism: a feasibility study.
Andreas Philipp SauterFelix K KoppRolf BippusJulia DangelmaierDominik DeniffelAlexander A FingerleFelix MeurerDaniela PfeifferRoland ProksaErnst J RummenyPeter B NoëlPublished in: European radiology (2019)
• With sparse sampling CT, radiation dose could be significantly reduced in clinical routine. • Sparse sampling CT is a novel hardware solution with which less projection images are acquired. • In the current study, a dose reduction of 87.5% (corresponding to a mean effective dose of 0.38 mSv) for CTPA could be achieved while maintaining excellent diagnostic performance.
Keyphrases
- pulmonary embolism
- computed tomography
- image quality
- dual energy
- contrast enhanced
- positron emission tomography
- inferior vena cava
- neural network
- magnetic resonance imaging
- deep learning
- convolutional neural network
- loop mediated isothermal amplification
- magnetic resonance
- real time pcr
- machine learning
- sensitive detection