
High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses
Medicina e TecnologiaSobre o estudo
- Desenho
- Ensaio clínico randomizado
- Nível de evidência
- 2 · Nova evidência
- Revista
- European radiology
- Publicado em
- 21 jan 2022
- Citações
- 0
O resumo deste estudo é do publisher e não tem licença aberta: por isso mostramos aqui só os dados do estudo, e o texto fica na fonte original, nos links abaixo.
O estudo original
High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses
Wanjiang Li, Kaiyue Diao, Yuting Wen, Tao Shuai, Yongchun You, Jin Zhao, Kai Liao, Chunyan Lu, Jianqun Yu, Yong He et al.
Descritores MeSH
- Computed Tomography Angiography
- Deep Learning
- Algorithms
- Contrast Media
- Humans
- Image Processing, Computer-Assisted
- Radiation Dosage
- Radiographic Image Interpretation, Computer-Assisted
- Coronary Angiography
Veja também
Estudos relacionados
- Deep Learning Reconstruction Combined with Contrast-Enhancement Boost Technique in "Quadruple-low" CCTA Protocol: Evaluation of Image Quality and Diagnostic Accuracy
- Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography
- Reducing both radiation and contrast doses for overweight patients in coronary CT angiography with 80-kVp and deep learning image reconstruction
- Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction