Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction
Ann-Christin Klemenz,
Lasse Albrecht,
Mathias Manzke
et al.
Abstract:We investigated the effect of deep learning-based image reconstruction (DLIR) compared to iterative reconstruction on image quality in CT pulmonary angiography (CTPA) for suspected pulmonary embolism (PE). For 220 patients with suspected PE, CTPA studies were reconstructed using filtered back projection (FBP), adaptive statistical iterative reconstruction (ASiR-V 30%, 60% and 90%) and DLIR (low, medium and high strength). Contrast-to-noise ratio (CNR) served as the primary parameter of objective image quality.… Show more
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