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Items: 1 to 20 of 261

1.

Reduction of image noise in low tube current dynamic CT myocardial perfusion imaging using HYPR processing: a time-attenuation curve analysis.

Speidel MA, Bateman CL, Tao Y, Raval AN, Hacker TA, Reeder SB, Van Lysel MS.

Med Phys. 2013 Jan;40(1):011904. doi: 10.1118/1.4770283.

2.

Noise spatial nonuniformity and the impact of statistical image reconstruction in CT myocardial perfusion imaging.

Lauzier PT, Tang J, Speidel MA, Chen GH.

Med Phys. 2012 Jul;39(7):4079-92. doi: 10.1118/1.4722983.

3.

Low dose dynamic CT myocardial perfusion imaging using a statistical iterative reconstruction method.

Tao Y, Chen GH, Hacker TA, Raval AN, Van Lysel MS, Speidel MA.

Med Phys. 2014 Jul;41(7):071914. doi: 10.1118/1.4884023.

4.

Renal perfusion and hemodynamics: accurate in vivo determination at CT with a 10-fold decrease in radiation dose and HYPR noise reduction.

Liu X, Primak AN, Krier JD, Yu L, Lerman LO, McCollough CH.

Radiology. 2009 Oct;253(1):98-105. doi: 10.1148/radiol.2531081677.

5.

Comparison of hybrid and pure iterative reconstruction techniques with conventional filtered back projection: dose reduction potential in the abdomen.

Singh S, Kalra MK, Do S, Thibault JB, Pien H, O'Connor OJ, Blake MA.

J Comput Assist Tomogr. 2012 May-Jun;36(3):347-53. doi: 10.1097/RCT.0b013e31824e639e. Erratum in: J Comput Assist Tomogr. 2012 Sep;36(5):627. Connor, Owen O J [corrected to O'Connor, Owen J].

PMID:
22592622
6.

Noise reduction in spectral CT: reducing dose and breaking the trade-off between image noise and energy bin selection.

Leng S, Yu L, Wang J, Fletcher JG, Mistretta CA, McCollough CH.

Med Phys. 2011 Sep;38(9):4946-57. doi: 10.1118/1.3609097.

PMID:
21978039
7.

Noise reduction and image quality improvement of low dose and ultra low dose brain perfusion CT by HYPR-LR processing.

Krissak R, Mistretta CA, Henzler T, Chatzikonstantinou A, Scharf J, Schoenberg SO, Fink C.

PLoS One. 2011 Feb 11;6(2):e17098. doi: 10.1371/journal.pone.0017098.

8.

Impact of iterative reconstruction on CNR and SNR in dynamic myocardial perfusion imaging in an animal model.

Gramer BM, Muenzel D, Leber V, von Thaden AK, Feussner H, Schneider A, Vembar M, Soni N, Rummeny EJ, Huber AM.

Eur Radiol. 2012 Dec;22(12):2654-61. doi: 10.1007/s00330-012-2525-z. Epub 2012 Jul 3.

PMID:
22752461
9.

Improved kinetic analysis of dynamic PET data with optimized HYPR-LR.

Floberg JM, Mistretta CA, Weichert JP, Hall LT, Holden JE, Christian BT.

Med Phys. 2012 Jun;39(6):3319-31. doi: 10.1118/1.4718669.

10.

Effects of model-based iterative reconstruction on image quality for low-dose computed tomographic angiography of the thoracic aorta in a Swine model.

Caywood D, Paxton B, Boll D, Nelson R, Kim C, Lowry C, Seaman D, Roos JE, Hurwitz LM.

J Comput Assist Tomogr. 2015 Mar-Apr;39(2):196-201. doi: 10.1097/RCT.0000000000000180.

PMID:
25474144
11.

Myocardial perfusion magnetic resonance imaging using sliding-window conjugate-gradient HYPR methods in canine with stenotic coronary arteries.

Ge L, Kino A, Lee D, Dharmakumar R, Carr JC, Li D.

J Comput Assist Tomogr. 2010 Sep-Oct;34(5):684-8. doi: 10.1097/RCT.0b013e3181e9e9dd.

12.

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. doi: 10.1118/1.4802730.

PMID:
23718595
13.
14.

Effect of x-ray tube current on the accuracy of cerebral perfusion parameters obtained by CT perfusion studies.

Murase K, Nanjo T, Ii S, Miyazaki S, Hirata M, Sugawara Y, Kudo M, Sasaki K, Mochizuki T.

Phys Med Biol. 2005 Nov 7;50(21):5019-29. Epub 2005 Oct 12.

PMID:
16237238
15.

A model based algorithm for perfusion estimation in interventional C-arm CT systems.

Wagner M, Deuerling-Zheng Y, Möhlenbruch M, Bendszus M, Boese J, Heiland S.

Med Phys. 2013 Mar;40(3):031916. doi: 10.1118/1.4790467.

PMID:
23464331
16.

Adaptive statistical iterative reconstruction and Veo: assessment of image quality and diagnostic performance in CT colonography at various radiation doses.

Yoon MA, Kim SH, Lee JM, Woo HS, Lee ES, Ahn SJ, Han JK.

J Comput Assist Tomogr. 2012 Sep-Oct;36(5):596-601.

PMID:
22992612
17.

Statistical model based iterative reconstruction in clinical CT systems. Part III. Task-based kV/mAs optimization for radiation dose reduction.

Li K, Gomez-Cardona D, Hsieh J, Lubner MG, Pickhardt PJ, Chen GH.

Med Phys. 2015 Sep;42(9):5209-21. doi: 10.1118/1.4927722.

18.

Analysis of myocardial perfusion from vasodilator stress computed tomography: does improvement in image quality by iterative reconstruction lead to improved diagnostic accuracy?

Bhave NM, Mor-Avi V, Kachenoura N, Freed BH, Vannier M, Dill K, Lang RM, Patel AR.

J Cardiovasc Comput Tomogr. 2014 May-Jun;8(3):238-45. doi: 10.1016/j.jcct.2014.04.008. Epub 2014 May 2.

PMID:
24939073
19.

Does a combination of dose modulation with fast gantry rotation time limit CT image quality?

Israel GM, Herlihy S, Rubinowitz AN, Cornfeld D, Brink J.

AJR Am J Roentgenol. 2008 Jul;191(1):140-4. doi: 10.2214/AJR.07.3019.

PMID:
18562737
20.

Low tube voltage intermediate tube current liver MDCT: sinogram-affirmed iterative reconstruction algorithm for detection of hypervascular hepatocellular carcinoma.

Yu MH, Lee JM, Yoon JH, Baek JH, Han JK, Choi BI, Flohr TG.

AJR Am J Roentgenol. 2013 Jul;201(1):23-32. doi: 10.2214/AJR.12.10000.

PMID:
23789655
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