These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
178 related articles for article (PubMed ID: 33151393)
1. Task-based assessment of neck CT protocols using patient-mimicking phantoms-effects of protocol parameters on dose and diagnostic performance. Jahnke P; Conzelmann J; Genske U; Nunninger M; Scheel M; Hamm B; Diekhoff T Eur Radiol; 2021 May; 31(5):3177-3186. PubMed ID: 33151393 [TBL] [Abstract][Full Text] [Related]
2. Performance of adaptive iterative dose reduction 3D integrated with automatic tube current modulation in radiation dose and image noise reduction compared with filtered-back projection for 80-kVp abdominal CT: Anthropomorphic phantom and patient study. Chen CM; Lin YY; Hsu MY; Hung CF; Liao YL; Tsai HY Eur J Radiol; 2016 Sep; 85(9):1666-72. PubMed ID: 27501904 [TBL] [Abstract][Full Text] [Related]
3. Comparison of low-contrast detectability between uniform and anatomically realistic phantoms-influences on CT image quality assessment. Conzelmann J; Genske U; Emig A; Scheel M; Hamm B; Jahnke P Eur Radiol; 2022 Feb; 32(2):1267-1275. PubMed ID: 34476563 [TBL] [Abstract][Full Text] [Related]
4. Ultra-low peak voltage CT colonography: effect of iterative reconstruction algorithms on performance of radiologists who use anthropomorphic colonic phantoms. Shin CI; Kim SH; Lee ES; Lee DH; Hwang EJ; Chung SY; Lee JM; Han JK; Choi BI Radiology; 2014 Dec; 273(3):759-71. PubMed ID: 25010640 [TBL] [Abstract][Full Text] [Related]
5. Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study. Jeon PH; Lee CL J Xray Sci Technol; 2023; 31(2):409-422. PubMed ID: 36744361 [TBL] [Abstract][Full Text] [Related]
6. Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantoms. Bellmann Q; Peng Y; Genske U; Yan L; Wagner M; Jahnke P Eur Radiol Exp; 2024 Jul; 8(1):84. PubMed ID: 39046565 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Calibration of coronary calcium scores determined using iterative image reconstruction (AIDR 3D) at 120, 100, and 80 kVp. Blobel J; Mews J; Goatman KA; Schuijf JD; Overlaet W Med Phys; 2016 Apr; 43(4):1921. PubMed ID: 27036588 [TBL] [Abstract][Full Text] [Related]
9. Iterative reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of diagnostic accuracy, image quality, and radiation dose in a phantom study. Schindera ST; Diedrichsen L; Müller HC; Rusch O; Marin D; Schmidt B; Raupach R; Vock P; Szucs-Farkas Z Radiology; 2011 Aug; 260(2):454-62. PubMed ID: 21493795 [TBL] [Abstract][Full Text] [Related]
10. Increasing iterative reconstruction strength at low tube voltage in coronary CT angiography protocols using 3D-printed and Catphan Abdullah KA; McEntee MF; Reed WM; Kench PL J Appl Clin Med Phys; 2020 Sep; 21(9):209-214. PubMed ID: 32657493 [TBL] [Abstract][Full Text] [Related]
11. Adaptive iterative dose reduction 3D (AIDR 3D) vs. filtered back projection: radiation dose reduction capabilities of wide volume and helical scanning techniques on area-detector CT in a chest phantom study. Seki S; Koyama H; Ohno Y; Matsumoto S; Inokawa H; Sugihara N; Sugimura K Acta Radiol; 2016 Jun; 57(6):684-90. PubMed ID: 26339037 [TBL] [Abstract][Full Text] [Related]
12. Endoleak and in-stent thrombus detection with CT angiography in a thoracic aortic aneurysm phantom at different tube energies using filtered back projection and iterative algorithms. Deák Z; Grimm JM; Mueck F; Geyer LL; Treitl M; Reiser MF; Wirth S Radiology; 2014 May; 271(2):574-84. PubMed ID: 24475853 [TBL] [Abstract][Full Text] [Related]
13. Influence of the adaptive iterative dose reduction 3D algorithm on the detectability of low-contrast lesions and radiation dose repeatability in abdominal computed tomography: a phantom study. Yoon JH; Lee JM; Hur BY; Baek J; Shim H; Han JK; Choi BI Abdom Imaging; 2015 Aug; 40(6):1843-52. PubMed ID: 25526686 [TBL] [Abstract][Full Text] [Related]
14. Determining the radiation dose reduction potential for coronary calcium scanning with computed tomography: an anthropomorphic phantom study comparing filtered backprojection and the adaptive iterative dose reduction algorithm for image reconstruction. Blobel J; Mews J; Schuijf JD; Overlaet W Invest Radiol; 2013 Dec; 48(12):857-62. PubMed ID: 23917328 [TBL] [Abstract][Full Text] [Related]
15. Combining automated attenuation-based tube voltage selection and iterative reconstruction: a liver phantom study. Husarik DB; Schindera ST; Morsbach F; Chuck N; Seifert B; Szucs-Farkas Z; Alkadhi H Eur Radiol; 2014 Mar; 24(3):657-67. PubMed ID: 24154792 [TBL] [Abstract][Full Text] [Related]
16. Low-Dose Pelvic Computed Tomography Using Adaptive Iterative Dose Reduction 3-Dimensional Algorithm: A Phantom Study. Onishi H; Kockelkoren R; Kim T; Hori M; Nakamoto A; Tsuboyama T; Sakane M; Tatsumi M; Uranishi A; Tanaka T; Taniguchi A; Enchi Y; Satoh K; Tomiyama N J Comput Assist Tomogr; 2015; 39(4):629-34. PubMed ID: 26125298 [TBL] [Abstract][Full Text] [Related]
17. Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study. Minamishima K; Sugisawa K; Yamada Y; Jinzaki M J Appl Clin Med Phys; 2018 May; 19(3):318-325. PubMed ID: 29493077 [TBL] [Abstract][Full Text] [Related]
18. Radiation dose and image quality in pediatric CT: effect of technical factors and phantom size and shape. Siegel MJ; Schmidt B; Bradley D; Suess C; Hildebolt C Radiology; 2004 Nov; 233(2):515-22. PubMed ID: 15358847 [TBL] [Abstract][Full Text] [Related]
19. 80-kVp CT using Iterative Reconstruction in Image Space algorithm for the detection of hypervascular hepatocellular carcinoma: phantom and initial clinical experience. Hur S; Lee JM; Kim SJ; Park JH; Han JK; Choi BI Korean J Radiol; 2012; 13(2):152-64. PubMed ID: 22438682 [TBL] [Abstract][Full Text] [Related]
20. Adaptive iterative dose reduction algorithm in CT: effect on image quality compared with filtered back projection in body phantoms of different sizes. Kim M; Lee JM; Yoon JH; Son H; Choi JW; Han JK; Choi BI Korean J Radiol; 2014; 15(2):195-204. PubMed ID: 24644409 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]