BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 38753193)

  • 1. Low tube voltage and deep-learning reconstruction for reducing radiation and contrast medium doses in thin-slice abdominal CT: a prospective clinical trial.
    Yoshida K; Nagayama Y; Funama Y; Ishiuchi S; Motohara T; Masuda T; Nakaura T; Ishiko T; Hirai T; Beppu T
    Eur Radiol; 2024 May; ():. PubMed ID: 38753193
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.
    Nagayama Y; Goto M; Sakabe D; Emoto T; Shigematsu S; Oda S; Tanoue S; Kidoh M; Nakaura T; Funama Y; Uchimura R; Takada S; Hayashi H; Hatemura M; Hirai T
    AJR Am J Roentgenol; 2022 Aug; 219(2):315-324. PubMed ID: 35195431
    [No Abstract]   [Full Text] [Related]  

  • 3. Deep learning-based reconstruction can improve the image quality of low radiation dose head CT.
    Nagayama Y; Iwashita K; Maruyama N; Uetani H; Goto M; Sakabe D; Emoto T; Nakato K; Shigematsu S; Kato Y; Takada S; Kidoh M; Oda S; Nakaura T; Hatemura M; Ueda M; Mukasa A; Hirai T
    Eur Radiol; 2023 May; 33(5):3253-3265. PubMed ID: 36973431
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study.
    Nagayama Y; Goto M; Sakabe D; Emoto T; Shigematsu S; Taguchi N; Maruyama N; Takada S; Uchimura R; Hayashi H; Kidoh M; Oda S; Nakaura T; Funama Y; Hatemura M; Hirai T
    Eur J Radiol; 2022 Jun; 151():110280. PubMed ID: 35381567
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.
    Nagayama Y; Emoto T; Kato Y; Kidoh M; Oda S; Sakabe D; Funama Y; Nakaura T; Hayashi H; Takada S; Uchimura R; Hatemura M; Tsujita K; Hirai T
    Eur Radiol; 2023 Dec; 33(12):8488-8500. PubMed ID: 37432405
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep-learning reconstruction with low-contrast media and low-kilovoltage peak for CT of the liver.
    Tachibana Y; Takaji R; Shiroo T; Asayama Y
    Clin Radiol; 2024 Apr; 79(4):e546-e553. PubMed ID: 38238148
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Abdominopelvic CT Image Quality: Evaluation of Thin (0.5-mm) Slices Using Deep Learning Reconstruction.
    Oostveen LJ; Smit EJ; Dekker HM; Buckens CF; Pegge SAH; de Lange F; Sechopoulos I; Prokop M
    AJR Am J Roentgenol; 2023 Mar; 220(3):381-388. PubMed ID: 36259592
    [No Abstract]   [Full Text] [Related]  

  • 8. Impact of Knowledge-Based Iterative Model Reconstruction in Abdominal Dynamic CT With Low Tube Voltage and Low Contrast Dose.
    Iyama Y; Nakaura T; Yokoyama K; Kidoh M; Harada K; Tokuyasu S; Yamashita Y
    AJR Am J Roentgenol; 2016 Apr; 206(4):687-93. PubMed ID: 26974470
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT.
    Goto M; Nagayama Y; Sakabe D; Emoto T; Kidoh M; Oda S; Nakaura T; Taguchi N; Funama Y; Takada S; Uchimura R; Hayashi H; Hatemura M; Kawanaka K; Hirai T
    Acad Radiol; 2023 Mar; 30(3):431-440. PubMed ID: 35738988
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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.
    Li W; Diao K; Wen Y; Shuai T; You Y; Zhao J; Liao K; Lu C; Yu J; He Y; Li Z
    Eur Radiol; 2022 May; 32(5):2912-2920. PubMed ID: 35059803
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.
    Bornet PA; Villani N; Gillet R; Germain E; Lombard C; Blum A; Gondim Teixeira PA
    Eur Radiol; 2022 May; 32(5):3161-3172. PubMed ID: 34989850
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Low-Contrast and Low-Radiation Dose Protocol in Cardiac Computed Tomography: Usefulness of Low Tube Voltage and Knowledge-Based Iterative Model Reconstruction Algorithm.
    Iyama Y; Nakaura T; Yokoyama K; Kidoh M; Harada K; Oda S; Tokuyasu S; Yamashita Y
    J Comput Assist Tomogr; 2016; 40(6):941-947. PubMed ID: 27224224
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Value of deep learning reconstruction of chest low-dose CT for image quality improvement and lung parenchyma assessment on lung window.
    Wang J; Sui X; Zhao R; Du H; Wang J; Wang Y; Qin R; Lu X; Ma Z; Xu Y; Jin Z; Song L; Song W
    Eur Radiol; 2024 Feb; 34(2):1053-1064. PubMed ID: 37581663
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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.
    Lenfant M; Comby PO; Guillen K; Galissot F; Haioun K; Thay A; Chevallier O; Ricolfi F; Loffroy R
    Diagnostics (Basel); 2022 May; 12(5):. PubMed ID: 35626442
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Low contrast- and low radiation dose protocol for cardiac CT of thin adults at 256-row CT: usefulness of low tube voltage scans and the hybrid iterative reconstruction algorithm.
    Nakaura T; Kidoh M; Sakaino N; Utsunomiya D; Oda S; Kawahara T; Harada K; Yamashita Y
    Int J Cardiovasc Imaging; 2013 Apr; 29(4):913-23. PubMed ID: 23160977
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Low contrast agent and radiation dose protocol for hepatic dynamic CT of thin adults at 256-detector row CT: effect of low tube voltage and hybrid iterative reconstruction algorithm on image quality.
    Nakaura T; Nakamura S; Maruyama N; Funama Y; Awai K; Harada K; Uemura S; Yamashita Y
    Radiology; 2012 Aug; 264(2):445-54. PubMed ID: 22627597
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction.
    Yoon H; Kim J; Lim HJ; Lee MJ
    BMC Med Imaging; 2021 Oct; 21(1):146. PubMed ID: 34629049
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Image quality assessment of artificial intelligence iterative reconstruction for low dose aortic CTA: A feasibility study of 70 kVp and reduced contrast medium volume.
    Li W; You Y; Zhong S; Shuai T; Liao K; Yu J; Zhao J; Li Z; Lu C
    Eur J Radiol; 2022 Apr; 149():110221. PubMed ID: 35196615
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.
    Ryu JK; Kim KH; Otgonbaatar C; Kim DS; Shim H; Seo JW
    Br J Radiol; 2024 Jun; 97(1159):1286-1294. PubMed ID: 38733576
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction.
    Zhang D; Mu C; Zhang X; Yan J; Xu M; Wang Y; Wang Y; Xue H; Chen Y; Jin Z
    BMC Med Imaging; 2023 Feb; 23(1):33. PubMed ID: 36800947
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.