학술논문
Deep Learning-Based Reconstruction vs. Iterative Reconstruction for Quality of Low-Dose Head-and-Neck CT Angiography with Different Tube-Voltage Protocols in Emergency-Department Patients.
Document Type
Academic Journal
Author
Lenfant M; Department of Neuroradiology and Emergency Radiology, François-Mitterrand University Hospital, 14 Rue 7 Paul Gaffarel, BP 77908, 21079 Dijon, France.; Imaging and Artificial Vision (ImViA) Laboratory-EA 7535, University of Bourgogne/Franche-Comté, 9 10 Avenue Alain Savary, BP 47870, 21078 Dijon, France.; Comby PO; Department of Neuroradiology and Emergency Radiology, François-Mitterrand University Hospital, 14 Rue 7 Paul Gaffarel, BP 77908, 21079 Dijon, France.; Imaging and Artificial Vision (ImViA) Laboratory-EA 7535, University of Bourgogne/Franche-Comté, 9 10 Avenue Alain Savary, BP 47870, 21078 Dijon, France.; Guillen K; Imaging and Artificial Vision (ImViA) Laboratory-EA 7535, University of Bourgogne/Franche-Comté, 9 10 Avenue Alain Savary, BP 47870, 21078 Dijon, France.; Department of Vascular and Interventional Radiology, Image-Guided Therapy Center, François-Mitterrand 13 University Hospital, 14 Rue Paul Gaffarel, BP 77908, 21079 Dijon, France.; Galissot F; Department of Neuroradiology and Emergency Radiology, François-Mitterrand University Hospital, 14 Rue 7 Paul Gaffarel, BP 77908, 21079 Dijon, France.; Haioun K; Computed Tomography Division, Canon Medical Systems France, 24 Quai Gallieni, 92150 Suresnes, France.; Thay A; Computed Tomography Division, Canon Medical Systems France, 24 Quai Gallieni, 92150 Suresnes, France.; Chevallier O; Imaging and Artificial Vision (ImViA) Laboratory-EA 7535, University of Bourgogne/Franche-Comté, 9 10 Avenue Alain Savary, BP 47870, 21078 Dijon, France.; Department of Vascular and Interventional Radiology, Image-Guided Therapy Center, François-Mitterrand 13 University Hospital, 14 Rue Paul Gaffarel, BP 77908, 21079 Dijon, France.; Ricolfi F; Department of Neuroradiology and Emergency Radiology, François-Mitterrand University Hospital, 14 Rue 7 Paul Gaffarel, BP 77908, 21079 Dijon, France.; Loffroy R; Imaging and Artificial Vision (ImViA) Laboratory-EA 7535, University of Bourgogne/Franche-Comté, 9 10 Avenue Alain Savary, BP 47870, 21078 Dijon, France.; Department of Vascular and Interventional Radiology, Image-Guided Therapy Center, François-Mitterrand 13 University Hospital, 14 Rue Paul Gaffarel, BP 77908, 21079 Dijon, France.
Source
Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
Subject
Language
English
ISSN
2075-4418
Abstract
Objective: To compare the image quality of computed tomography angiography of the supra-aortic arteries (CTSA) at different tube voltages in low doses settings with deep learning-based image reconstruction (DLR) vs. hybrid iterative reconstruction (H-IR). Methods: We retrospectively reviewed 102 patients who underwent CTSA systematically reconstructed with both DLR and H-IR. We assessed the image quality both quantitatively and qualitatively at 11 arterial segmental levels and 3 regional levels. Radiation-dose parameters were recorded and the effective dose was calculated. Eighty-six patients were eligible for analysis Of these patients, 27 were imaged with 120 kVp, 30 with 100 kVp, and 29 with 80 kVp. Results: The effective dose in 120 kVp, 100 kVp and 80 kVp was 1.5 ± 0.4 mSv, 1.1 ± 0.3 mSv and 0.68 ± 0.1 mSv, respectively (p < 0.01). Comparing 80 kVp + DLR vs. 120 and 100 kVp + H-IR CT scans, the mean overall arterial attenuation was about 64% and 34% higher (625.9 ± 118.5 HU vs. 382.3 ± 98.6 HU and 468 ± 118.5 HU; p < 0.01) without a significant difference in terms of image noise (17.7 ± 4.9 HU vs. 17.5 ± 5.2; p = 0.7 and 18.1 ± 5.4; p = 0.3) and signal-to-ratio increased by 59% and 33%, respectively (37.9 ± 12.3 vs. 23.8 ± 9.7 and 28.4 ± 12.5). This protocol also provided superior image quality in terms of qualitative parameters, compared to standard-kVp protocols with H-IR. Highest subjective image-quality grades for vascular segments close to the aorta were obtained with the 100 kVp + DLR protocol. Conclusions: DLR significantly reduced image noise and improved the overall image quality of CTSA with both low and standard tube voltages and at all vascular segments. CT that was acquired with 80 kVp and reconstructed with DLR yielded better overall image quality compared to higher kVp values with H-IR, while reducing the radiation dose by half, but it has limitations for arteries that are close to the aortic arch.