Clinical feasibility test of 60 kVp double-low-dose coronary CT angiography with a deep learning reconstruction algorithm

Abstract Objectives To test the feasibility of 60 kVp double-low-dose coronary CT angiography (CCTA) with a deep learning reconstruction (DLR) algorithm. Materials and methods Eighty-nine patients (44 females, 59.9 ± 13.2 years, 23.1 ± 3.3 kg/m2) with known or suspected coronary artery disease were...

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Bibliografiset tiedot

Päätekijät:	Xi Wu, Manman Zhu, Yixuan Zou, Jialin Luo, Weiling He, Wenjie Sun, Hui Shi, Peng Liu, Feng Huang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	SpringerOpen 2026-02-01
Sarja:	Insights into Imaging
Aiheet:	Coronary CT angiography low-dose deep learning reconstruction
Linkit:	https://doi.org/10.1186/s13244-026-02223-6
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