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Journal Abstract Search

232 related items for PubMed ID: 36847992

  • 1. Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography.
    De Santis D, Polidori T, Tremamunno G, Rucci C, Piccinni G, Zerunian M, Pugliese L, Del Gaudio A, Guido G, Barbato L, Laghi A, Caruso D.
    Radiol Med; 2023 Apr; 128(4):434-444. PubMed ID: 36847992
    [Abstract] [Full Text] [Related]

  • 2. A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography.
    Wang M, Fan J, Shi X, Qin L, Yan F, Yang W.
    Eur J Radiol; 2022 Jan; 146():110070. PubMed ID: 34856519
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  • 3. Deep Learning Image Reconstruction Algorithm for CCTA: Image Quality Assessment and Clinical Application.
    Catapano F, Lisi C, Savini G, Olivieri M, Figliozzi S, Caracciolo A, Monti L, Francone M.
    J Comput Assist Tomogr; 2022 Jan; 48(2):217-221. PubMed ID: 37621087
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  • 6. Assessment of Image Quality of Coronary Computed Tomography Angiography in Obese Patients by Comparing Deep Learning Image Reconstruction With Adaptive Statistical Iterative Reconstruction Veo.
    Wang H, Wang R, Li Y, Zhou Z, Gao Y, Bo K, Yu M, Sun Z, Xu L.
    J Comput Assist Tomogr; 2022 Jan; 46(1):34-40. PubMed ID: 35099134
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  • 7. Application of deep learning image reconstruction algorithm to improve image quality in CT angiography of children with Takayasu arteritis.
    Sun J, Li H, Li H, Li M, Gao Y, Zhou Z, Peng Y.
    J Xray Sci Technol; 2022 Jan; 30(1):177-184. PubMed ID: 34806646
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  • 10. Iterative reconstruction vs deep learning image reconstruction: comparison of image quality and diagnostic accuracy of arterial stenosis in low-dose lower extremity CT angiography.
    Qu T, Guo Y, Li J, Cao L, Li Y, Chen L, Sun J, Lu X, Guo J.
    Br J Radiol; 2022 Dec 01; 95(1140):20220196. PubMed ID: 36341682
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  • 11. Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy.
    Benz DC, Benetos G, Rampidis G, von Felten E, Bakula A, Sustar A, Kudura K, Messerli M, Fuchs TA, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR.
    J Cardiovasc Comput Tomogr; 2020 Dec 01; 14(5):444-451. PubMed ID: 31974008
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  • 12. Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT?
    Cao J, Mroueh N, Pisuchpen N, Parakh A, Lennartz S, Pierce TT, Kambadakone AR.
    Abdom Radiol (NY); 2023 Oct 01; 48(10):3253-3264. PubMed ID: 37369922
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  • 13. The value of a deep learning image reconstruction algorithm in whole-brain computed tomography perfusion in patients with acute ischemic stroke.
    Lei L, Zhou Y, Guo X, Wang L, Zhao X, Wang H, Ma J, Yue S.
    Quant Imaging Med Surg; 2023 Dec 01; 13(12):8173-8189. PubMed ID: 38106310
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  • 14. Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V).
    Li Y, Liu X, Zhuang XH, Wang MJ, Song XF.
    BMC Med Imaging; 2022 Jun 03; 22(1):106. PubMed ID: 35658908
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  • 15. Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography.
    Benz DC, Ersözlü S, Mojon FLA, Messerli M, Mitulla AK, Ciancone D, Kenkel D, Schaab JA, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR.
    Eur Radiol; 2022 Apr 03; 32(4):2620-2628. PubMed ID: 34792635
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  • 16. Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise.
    Kim JH, Yoon HJ, Lee E, Kim I, Cha YK, Bak SH.
    Korean J Radiol; 2021 Jan 03; 22(1):131-138. PubMed ID: 32729277
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  • 17. Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.
    Delabie A, Bouzerar R, Pichois R, Desdoit X, Vial J, Renard C.
    Acta Radiol; 2022 Sep 03; 63(9):1283-1292. PubMed ID: 34365803
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  • 18. Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations.
    Parakh A, Cao J, Pierce TT, Blake MA, Savage CA, Kambadakone AR.
    Eur Radiol; 2021 Nov 03; 31(11):8342-8353. PubMed ID: 33893535
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  • 19. Image quality of coronary CT angiography at ultra low tube voltage reconstructed with a deep-learning image reconstruction algorithm in patients of different weight.
    Zhu L, Ha R, Machida H, Shi X, Wang F, Chen K, Chen D, Cao Y, Shen Y, Yang L.
    Quant Imaging Med Surg; 2023 Jun 01; 13(6):3891-3901. PubMed ID: 37284103
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  • 20. Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction.
    Nam JG, Hong JH, Kim DS, Oh J, Goo JM.
    Eur Radiol; 2021 Aug 01; 31(8):5533-5543. PubMed ID: 33555354
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