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For: Szczykutowicz TP, Nett B, Cherkezyan L, Pozniak M, Tang J, Lubner MG, Hsieh J. Protocol Optimization Considerations for Implementing Deep Learning CT Reconstruction. AJR Am J Roentgenol 2021;216:1668-77. [PMID: 33852337 DOI: 10.2214/AJR.20.23397] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Number Cited by Other Article(s)
1
Pula M, Kucharczyk E, Zdanowicz-Ratajczyk A, Dorochowicz M, Guzinski M. Deep learning and iterative image reconstruction for head CT: Impact on image quality and radiation dose reduction-Comparative study. Neuroradiol J 2025:19714009251345108. [PMID: 40406852 PMCID: PMC12102084 DOI: 10.1177/19714009251345108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2025] [Revised: 05/02/2025] [Accepted: 05/11/2025] [Indexed: 05/26/2025]  Open
2
Bocquet W, Bouzerar R, François G, Leleu A, Renard C. Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm. J Thorac Imaging 2025;40:e0806. [PMID: 39267547 DOI: 10.1097/rti.0000000000000806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2024]
3
Zhang R, Szczykutowicz TP, Toia GV. Artificial Intelligence in Computed Tomography Image Reconstruction: A Review of Recent Advances. J Comput Assist Tomogr 2025:00004728-990000000-00429. [PMID: 40008975 DOI: 10.1097/rct.0000000000001734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Accepted: 01/07/2025] [Indexed: 02/27/2025]
4
Inoue Y, Itoh H, Hata H, Miyatake H, Mitsui K, Uehara S, Masuda C. Noise Reduction in Brain CT: A Comparative Study of Deep Learning and Hybrid Iterative Reconstruction Using Multiple Parameters. Tomography 2024;10:2073-2086. [PMID: 39728909 DOI: 10.3390/tomography10120147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 12/08/2024] [Accepted: 12/16/2024] [Indexed: 12/28/2024]  Open
5
Bürckenmeyer F, Gräger S, Mlynska L, Güttler F, Ingwersen M, Teichgräber U, Krämer M. Image quality of virtual monochromatic and material density iodine images for evaluation of head and neck neoplasms using deep learning-based CT image reconstruction - A retrospective observational study. Eur J Radiol 2024;181:111806. [PMID: 39500043 DOI: 10.1016/j.ejrad.2024.111806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 10/15/2024] [Accepted: 10/22/2024] [Indexed: 12/07/2024]
6
Mileto A, Yu L, Revels JW, Kamel S, Shehata MA, Ibarra-Rovira JJ, Wong VK, Roman-Colon AM, Lee JM, Elsayes KM, Jensen CT. State-of-the-Art Deep Learning CT Reconstruction Algorithms in Abdominal Imaging. Radiographics 2024;44:e240095. [PMID: 39612283 PMCID: PMC11618294 DOI: 10.1148/rg.240095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 05/18/2023] [Accepted: 05/21/2023] [Indexed: 12/01/2024]
7
潘 云, 姚 小, 高 荣, 谢 薇, 夏 春, 李 真, 孙 怀. [Deep Learning Reconstruction Algorithm Combined With Smart Metal Artifact Reduction Technique Improves Image Quality of Upper Abdominal CT in Critically Ill Patients]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2024;55:1403-1409. [PMID: 39990832 PMCID: PMC11839371 DOI: 10.12182/20241160102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Indexed: 02/25/2025]
8
Lin X, Gao Y, Zhu C, Song J, Liu L, Li J, Wu X. Improving diagnostic confidence in low-dose dual-energy CTE with low energy level and deep learning reconstruction. Eur J Radiol 2024;178:111607. [PMID: 39033690 DOI: 10.1016/j.ejrad.2024.111607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 06/15/2024] [Accepted: 07/05/2024] [Indexed: 07/23/2024]
9
Lee DH, Lee JM, Lee CH, Afat S, Othman A. Image Quality and Diagnostic Performance of Low-Dose Liver CT with Deep Learning Reconstruction versus Standard-Dose CT. Radiol Artif Intell 2024;6:e230192. [PMID: 38231025 PMCID: PMC10982822 DOI: 10.1148/ryai.230192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 11/13/2023] [Accepted: 01/02/2024] [Indexed: 01/18/2024]
10
Kawashima H. [[CT] 6. The Current Situation of AI Image Reconstruction in CT]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2024;80:252-259. [PMID: 38382985 DOI: 10.6009/jjrt.2024-2321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
11
Jensen CT, Wong VK, Wagner-Bartak NA, Liu X, Padmanabhan Nair Sobha R, Sun J, Likhari GS, Gupta S. Accuracy of liver metastasis detection and characterization: Dual-energy CT versus single-energy CT with deep learning reconstruction. Eur J Radiol 2023;168:111121. [PMID: 37806195 DOI: 10.1016/j.ejrad.2023.111121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/08/2023] [Accepted: 09/27/2023] [Indexed: 10/10/2023]
12
Cao J, Mroueh N, Pisuchpen N, Parakh A, Lennartz S, Pierce TT, Kambadakone AR. Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT? Abdom Radiol (NY) 2023;48:3253-3264. [PMID: 37369922 DOI: 10.1007/s00261-023-03992-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 06/29/2023]
13
Oshima Y, Ohno Y, Takenaka D, Ito Y, Kimata H, Fujii K, Akino N, Hamabuchi N, Matsuyama T, Nagata H, Ueda T, Ikeda H, Ozawa Y, Yoshikawa T, Toyama H. Capability for dose reduction while maintaining nodule detection: Comparison of silver and copper X-ray spectrum modulation filters for chest CT using a phantom study with different reconstruction methods. Eur J Radiol 2023;166:110969. [PMID: 37454556 DOI: 10.1016/j.ejrad.2023.110969] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/03/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
14
Shehata MA, Saad AM, Kamel S, Stanietzky N, Roman-Colon AM, Morani AC, Elsayes KM, Jensen CT. Deep-learning CT reconstruction in clinical scans of the abdomen: a systematic review and meta-analysis. Abdom Radiol (NY) 2023;48:2724-2756. [PMID: 37280374 PMCID: PMC11781595 DOI: 10.1007/s00261-023-03966-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/13/2023] [Accepted: 05/16/2023] [Indexed: 06/08/2023]
15
Funama Y, Nakaura T, Hasegawa A, Sakabe D, Oda S, Kidoh M, Nagayama Y, Hirai T. Noise power spectrum properties of deep learning-based reconstruction and iterative reconstruction algorithms: Phantom and clinical study. Eur J Radiol 2023;165:110914. [PMID: 37295358 DOI: 10.1016/j.ejrad.2023.110914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 05/18/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023]
16
Szczykutowicz TP, Ahmad M, Liu X, Pozniak MA, Lubner MG, Jensen CT. How Do Cancer-Specific Computed Tomography Protocols Compare With the American College of Radiology Dose Index Registry? An Analysis of Computed Tomography Dose at 2 Cancer Centers. J Comput Assist Tomogr 2023;47:429-436. [PMID: 37185007 PMCID: PMC10199233 DOI: 10.1097/rct.0000000000001441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
17
Yang K, Cao J, Pisuchpen N, Kambadakone A, Gupta R, Marschall T, Li X, Liu B. CT image quality evaluation in the age of deep learning: trade-off between functionality and fidelity. Eur Radiol 2023;33:2439-2449. [PMID: 36350391 DOI: 10.1007/s00330-022-09233-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/16/2022] [Accepted: 10/09/2022] [Indexed: 11/11/2022]
18
Koetzier LR, Mastrodicasa D, Szczykutowicz TP, van der Werf NR, Wang AS, Sandfort V, van der Molen AJ, Fleischmann D, Willemink MJ. Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects. Radiology 2023;306:e221257. [PMID: 36719287 PMCID: PMC9968777 DOI: 10.1148/radiol.221257] [Citation(s) in RCA: 115] [Impact Index Per Article: 57.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 09/26/2022] [Accepted: 10/13/2022] [Indexed: 02/01/2023]
19
Thor D, Titternes R, Poludniowski G. Spatial resolution, noise properties, and detectability index of a deep learning reconstruction algorithm for dual-energy CT of the abdomen. Med Phys 2023;50:2775-2786. [PMID: 36774193 DOI: 10.1002/mp.16300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 11/18/2022] [Accepted: 01/17/2023] [Indexed: 02/13/2023]  Open
20
"Image quality evaluation of the Precise image CT deep learning reconstruction algorithm compared to Filtered Back-projection and iDose4: a phantom study at different dose levels". Phys Med 2023;106:102517. [PMID: 36669326 DOI: 10.1016/j.ejmp.2022.102517] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 12/08/2022] [Accepted: 12/27/2022] [Indexed: 01/19/2023]  Open
21
Zhao K, Jiang B, Zhang S, Zhang L, Zhang L, Feng Y, Li J, Zhang Y, Xie X. Measurement Accuracy and Repeatability of RECIST-Defined Pulmonary Lesions and Lymph Nodes in Ultra-Low-Dose CT Based on Deep Learning Image Reconstruction. Cancers (Basel) 2022;14:5016. [PMID: 36291800 PMCID: PMC9599467 DOI: 10.3390/cancers14205016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/11/2022] [Indexed: 08/16/2023]  Open
22
A Review of Deep Learning CT Reconstruction: Concepts, Limitations, and Promise in Clinical Practice. CURRENT RADIOLOGY REPORTS 2022. [DOI: 10.1007/s40134-022-00399-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
23
Lubner MG, Ziemlewicz TJ, Wells SA, Li K, Wu PH, Hinshaw JL, Lee FT, Brace CL. Advanced CT techniques for hepatic microwave ablation zone monitoring and follow-up. Abdom Radiol (NY) 2022;47:2658-2668. [PMID: 34731282 DOI: 10.1007/s00261-021-03333-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 10/21/2021] [Accepted: 10/22/2021] [Indexed: 01/18/2023]
24
Xu JJ, Lönn L, Budtz-Jørgensen E, Hansen KL, Ulriksen PS. Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT. Eur Radiol 2022;32:7098-7107. [PMID: 35895120 DOI: 10.1007/s00330-022-09018-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 06/01/2022] [Accepted: 07/04/2022] [Indexed: 11/28/2022]
25
Jensen CT, Gupta S, Saleh MM, Liu X, Wong VK, Salem U, Qiao W, Samei E, Wagner-Bartak NA. Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases. Radiology 2022;303:90-98. [PMID: 35014900 PMCID: PMC8962777 DOI: 10.1148/radiol.211838] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/19/2021] [Accepted: 10/28/2021] [Indexed: 12/22/2022]
26
Au C, Reeves R, Li Z, Gingold E, Halpern E, Sundaram B. Impact of multidetector computed tomography scan parameters, novel reconstruction settings, and lung nodule characteristics on nodule diameter measurements: A Phantom Study. Med Phys 2022;49:3936-3943. [PMID: 35358333 DOI: 10.1002/mp.15639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 03/09/2022] [Accepted: 03/18/2022] [Indexed: 11/12/2022]  Open
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