153 related articles for article (PubMed ID: 37454556)
1. 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.
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
Eur J Radiol; 2023 Sep; 166():110969. PubMed ID: 37454556
[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. Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.
Greffier J; Si-Mohamed S; Frandon J; Loisy M; de Oliveira F; Beregi JP; Dabli D
Med Phys; 2022 Aug; 49(8):5052-5063. PubMed ID: 35696272
[TBL] [Abstract][Full Text] [Related]
4. Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.
Hamabuchi N; Ohno Y; Kimata H; Ito Y; Fujii K; Akino N; Takenaka D; Yoshikawa T; Oshima Y; Matsuyama T; Nagata H; Ueda T; Ikeda H; Ozawa Y; Toyama H
Jpn J Radiol; 2023 Dec; 41(12):1373-1388. PubMed ID: 37498483
[TBL] [Abstract][Full Text] [Related]
5. Investigation of lung nodule detectability in low-dose 320-slice computed tomography.
Silverman JD; Paul NS; Siewerdsen JH
Med Phys; 2009 May; 36(5):1700-10. PubMed ID: 19544787
[TBL] [Abstract][Full Text] [Related]
6. Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.
Choi H; Chang W; Kim JH; Ahn C; Lee H; Kim HY; Cho J; Lee YJ; Kim YH
Eur Radiol; 2022 Feb; 32(2):1247-1255. PubMed ID: 34390372
[TBL] [Abstract][Full Text] [Related]
7. Comparison of two deep learning image reconstruction algorithms in chest CT images: A task-based image quality assessment on phantom data.
Greffier J; Frandon J; Si-Mohamed S; Dabli D; Hamard A; Belaouni A; Akessoul P; Besse F; Guiu B; Beregi JP
Diagn Interv Imaging; 2022 Jan; 103(1):21-30. PubMed ID: 34493475
[TBL] [Abstract][Full Text] [Related]
8. Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study.
Ohno Y; Yaguchi A; Okazaki T; Aoyagi K; Yamagata H; Sugihara N; Koyama H; Yoshikawa T; Sugimura K
Eur J Radiol; 2016 Aug; 85(8):1375-82. PubMed ID: 27423675
[TBL] [Abstract][Full Text] [Related]
9. Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping.
Gordic S; Morsbach F; Schmidt B; Allmendinger T; Flohr T; Husarik D; Baumueller S; Raupach R; Stolzmann P; Leschka S; Frauenfelder T; Alkadhi H
Invest Radiol; 2014 Jul; 49(7):465-73. PubMed ID: 24598443
[TBL] [Abstract][Full Text] [Related]
10. Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.
Greffier J; Durand Q; Frandon J; Si-Mohamed S; Loisy M; de Oliveira F; Beregi JP; Dabli D
Eur Radiol; 2023 Jan; 33(1):699-710. PubMed ID: 35864348
[TBL] [Abstract][Full Text] [Related]
11. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.
Singh R; Digumarthy SR; Muse VV; Kambadakone AR; Blake MA; Tabari A; Hoi Y; Akino N; Angel E; Madan R; Kalra MK
AJR Am J Roentgenol; 2020 Mar; 214(3):566-573. PubMed ID: 31967501
[No Abstract] [Full Text] [Related]
12. Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?
Lyu P; Liu N; Harrawood B; Solomon J; Wang H; Chen Y; Rigiroli F; Ding Y; Schwartz FR; Jiang H; Lowry C; Wang L; Samei E; Gao J; Marin D
Eur Radiol; 2023 Mar; 33(3):1629-1640. PubMed ID: 36323984
[TBL] [Abstract][Full Text] [Related]
13. The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis.
van Stiphout JA; Driessen J; Koetzier LR; Ruules LB; Willemink MJ; Heemskerk JWT; van der Molen AJ
Eur Radiol; 2022 May; 32(5):2921-2929. PubMed ID: 34913104
[TBL] [Abstract][Full Text] [Related]
14. Radiation Dose Reduction for Computed Tomography Localizer Radiography Using an Ag Additional Filter.
Nomura K; Fujii K; Goto T; Tsukagoshi S; Ota H; Iwabuchi Y; Suzuki H; Muramatsu Y; Kobayashi T
J Comput Assist Tomogr; 2021 Jan-Feb 01; 45(1):84-92. PubMed ID: 33475316
[TBL] [Abstract][Full Text] [Related]
15. X-ray dose reduction using additional copper filtration for dental cone beam CT.
Kuramoto T; Takarabe S; Shiotsuki K; Shibayama Y; Hamasaki H; Akamine H; Okamura K; Chikui T; Kato T; Yoshiura K
Phys Med; 2021 Jan; 81():302-307. PubMed ID: 33349541
[TBL] [Abstract][Full Text] [Related]
16. Impact of dose reduction and iterative reconstruction algorithm on the detectability of pulmonary nodules by artificial intelligence.
Schwyzer M; Messerli M; Eberhard M; Skawran S; Martini K; Frauenfelder T
Diagn Interv Imaging; 2022 May; 103(5):273-280. PubMed ID: 34991993
[TBL] [Abstract][Full Text] [Related]
17. Influence of radiation dose and iterative reconstruction algorithms for measurement accuracy and reproducibility of pulmonary nodule volumetry: A phantom study.
Kim H; Park CM; Song YS; Lee SM; Goo JM
Eur J Radiol; 2014 May; 83(5):848-57. PubMed ID: 24572380
[TBL] [Abstract][Full Text] [Related]
18. Quantitative Image Quality and Histogram-Based Evaluations of an Iterative Reconstruction Algorithm at Low-to-Ultralow Radiation Dose Levels: A Phantom Study in Chest CT.
Lee KB; Goo HW
Korean J Radiol; 2018; 19(1):119-129. PubMed ID: 29354008
[TBL] [Abstract][Full Text] [Related]
19. Spatial resolution improvement and dose reduction potential for inner ear CT imaging using a z-axis deconvolution technique.
McCollough CH; Leng S; Sunnegardh J; Vrieze TJ; Yu L; Lane J; Raupach R; Stierstorfer K; Flohr T
Med Phys; 2013 Jun; 40(6):061904. PubMed ID: 23718595
[TBL] [Abstract][Full Text] [Related]
20. Ultra-low dose chest computed tomography: Effect of iterative reconstruction levels on image quality.
Afadzi M; Lysvik EK; Andersen HK; Martinsen ACT
Eur J Radiol; 2019 May; 114():62-68. PubMed ID: 31005179
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
