Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction
Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction is a scholarly work, published in 2024 in ''Scientific Reports''. The main subjects of the publication include medicine, medical ultrasonography, ionizing radiation, nuclear medicine, venous thrombosis, deep learning, Radon transform, pulmonary embolism, image quality, iterative reconstruction, radiology, and angiography. Subgroup analyses were performed for normal weight, overweight and obese individuals.