Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-09888-3.pdf
Reference50 articles.
1. Knuuti J, Wijns W, Saraste A et al (2020) 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 41:407–477
2. Mancini GBJ, Leipsic J, Budoff MJ et al (2021) CT angiography followed by invasive angiography in patients with moderate or severe ischemia-insights from the ISCHEMIA trial. JACC Cardiovasc Imaging 14:1384–1393
3. de Graaf FR, Schuijf JD, van Velzen JE et al (2010) Diagnostic accuracy of 320-row multidetector computed tomography coronary angiography in the non-invasive evaluation of significant coronary artery disease. Eur Heart J 31:1908–1915
4. Arbab-Zadeh A, Miller JM, Rochitte CE et al (2012) Diagnostic accuracy of computed tomography coronary angiography according to pre-test probability of coronary artery disease and severity of coronary arterial calcification. The CORE-64 (Coronary Artery Evaluation Using 64-Row Multidetector Computed Tomography Angiography) International Multicenter Study. J Am Coll Cardiol 59:379–387
5. Song YB, Arbab-Zadeh A, Matheson MB et al (2019) Contemporary discrepancies of stenosis assessment by computed tomography and invasive coronary angiography. Circ Cardiovasc Imaging 12:e007720
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