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Journal Abstract Search
1459 related items for PubMed ID: 26197735
1. Knowledge-based iterative model reconstruction (IMR) algorithm in ultralow-dose CT for evaluation of urolithiasis: evaluation of radiation dose reduction, image quality, and diagnostic performance. Park SB, Kim YS, Lee JB, Park HJ. Abdom Imaging; 2015 Oct; 40(8):3137-46. PubMed ID: 26197735 [Abstract] [Full Text] [Related]
3. CT for evaluation of urolithiasis: image quality of ultralow-dose (Sub mSv) CT with knowledge-based iterative reconstruction and diagnostic performance of low-dose CT with statistical iterative reconstruction. Hur J, Park SB, Lee JB, Park HJ, Chang IH, Kwon JK, Kim YS. Abdom Imaging; 2015 Oct; 40(7):2432-40. PubMed ID: 25833747 [Abstract] [Full Text] [Related]
4. Ultralow-Dose Abdominal Computed Tomography: Comparison of 2 Iterative Reconstruction Techniques in a Prospective Clinical Study. Khawaja RD, Singh S, Blake M, Harisinghani M, Choy G, Karaosmanoglu A, Padole A, Pourjabbar S, Do S, Kalra MK. J Comput Assist Tomogr; 2015 Oct; 39(4):489-98. PubMed ID: 26182223 [Abstract] [Full Text] [Related]
5. Ultra-low dose abdominal MDCT: using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study. Khawaja RDA, Singh S, Blake M, Harisinghani M, Choy G, Karosmangulu A, Padole A, Do S, Brown K, Thompson R, Morton T, Raihani N, Koehler T, Kalra MK. Eur J Radiol; 2015 Jan; 84(1):2-10. PubMed ID: 25458225 [Abstract] [Full Text] [Related]
7. Evaluation of coronary artery image quality with knowledge-based iterative model reconstruction. Halpern EJ, Gingold EL, White H, Read K. Acad Radiol; 2014 Jun; 21(6):805-11. PubMed ID: 24809321 [Abstract] [Full Text] [Related]
8. Contrast-Enhanced CT with Knowledge-Based Iterative Model Reconstruction for the Evaluation of Parotid Gland Tumors: A Feasibility Study. Park CJ, Kim KW, Lee HJ, Kim MJ, Kim J. Korean J Radiol; 2018 Jun; 19(5):957-964. PubMed ID: 30174486 [Abstract] [Full Text] [Related]
9. Iterative Model Reconstruction (IMR) in MDCT Below 2 mSv for the Detection of Urinary Calculi: Diagnostic Accuracy and Image Quality in Comparison to Filtered Back-Projection and 4th Generation Iterative Reconstruction (iDose4). Schmidt-Holtz J, Laqmani A, Butscheidt S, Kurfürst M, Avanesov M, Behzadi C, Spink C, Veldhoen S, Nagel HD, Adam G, Regier M. Rofo; 2018 Jul; 190(7):630-636. PubMed ID: 29966156 [Abstract] [Full Text] [Related]
12. Clinical evaluation of image quality and radiation dose reduction in upper abdominal computed tomography using model-based iterative reconstruction; comparison with filtered back projection and adaptive statistical iterative reconstruction. Nakamoto A, Kim T, Hori M, Onishi H, Tsuboyama T, Sakane M, Tatsumi M, Tomiyama N. Eur J Radiol; 2015 Sep; 84(9):1715-23. PubMed ID: 26037266 [Abstract] [Full Text] [Related]
14. Computed tomography (CT) of the chest at less than 1 mSv: an ongoing prospective clinical trial of chest CT at submillisievert radiation doses with iterative model image reconstruction and iDose4 technique. Khawaja RD, Singh S, Gilman M, Sharma A, Do S, Pourjabbar S, Padole A, Lira D, Brown K, Shepard JA, Kalra MK. J Comput Assist Tomogr; 2014 Sep; 38(4):613-9. PubMed ID: 24651746 [Abstract] [Full Text] [Related]
15. A knowledge-based iterative model reconstruction algorithm: can super-low-dose cardiac CT be applicable in clinical settings? Oda S, Utsunomiya D, Funama Y, Katahira K, Honda K, Tokuyasu S, Vembar M, Yuki H, Noda K, Oshima S, Yamashita Y. Acad Radiol; 2014 Jan; 21(1):104-10. PubMed ID: 24331272 [Abstract] [Full Text] [Related]
16. 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 [Abstract] [Full Text] [Related]
17. Image quality of ct angiography using model-based iterative reconstruction in infants with congenital heart disease: Comparison with filtered back projection and hybrid iterative reconstruction. Jia Q, Zhuang J, Jiang J, Li J, Huang M, Liang C. Eur J Radiol; 2017 Jan; 86():190-197. PubMed ID: 28027746 [Abstract] [Full Text] [Related]
18. Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography. Chang W, Lee JM, Lee K, Yoon JH, Yu MH, Han JK, Choi BI. Invest Radiol; 2013 Aug; 48(8):598-606. PubMed ID: 23511193 [Abstract] [Full Text] [Related]
19. Screening for lung cancer using sub-millisievert chest CT with iterative reconstruction algorithm: image quality and nodule detectability. Zhang M, Qi W, Sun Y, Jiang Y, Liu X, Hong N. Br J Radiol; 2018 Oct; 91(1090):20170658. PubMed ID: 29120665 [Abstract] [Full Text] [Related]
20. Usefulness of low-dose nonenhanced computed tomography with iterative reconstruction for evaluation of urolithiasis: diagnostic performance and agreement between the urologist and the radiologist. Kwon JK, Chang IH, Moon YT, Lee JB, Park HJ, Park SB. Urology; 2015 Mar; 85(3):531-8. PubMed ID: 25733262 [Abstract] [Full Text] [Related] Page: [Next] [New Search]