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Specialty: Intensive Care
Education: Learning
Procedure: Perfusion
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Temporally downsampled cerebral CT perfusion image restoration using deep residual learning
ConclusionThe trained model can restore the temporally downsampled 15-pass CTP to 30 passes very well. According to the contrast test, sufficient information cannot be restored with, e.g., simple interpolation method and deep convolutional generative adversarial network, but can be restored with the proposed CNN model. This method can be an optional way to reduce radiation dose during CTP imaging.
Source: International Journal of Computer Assisted Radiology and Surgery - October 30, 2019 Category: Intensive Care Source Type: research
