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Items: 1 to 20 of 133

1.

Adaptive iterative dose reduction using 3D processing for reduced- and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological findings.

Ohno Y, Takenaka D, Kanda T, Yoshikawa T, Matsumoto S, Sugihara N, Sugimura K.

AJR Am J Roentgenol. 2012 Oct;199(4):W477-85.

PMID:
22997397
2.

Hybrid Type iterative reconstruction method vs. filter back projection method: Capability for radiation dose reduction and perfusion assessment on dynamic first-pass contrast-enhanced perfusion chest area-detector CT.

Ohno Y, Koyama H, Fujisawa Y, Yoshikawa T, Inokawa H, Sugihara N, Seki S, Sugimura K.

Eur J Radiol. 2016 Jan;85(1):164-75. doi: 10.1016/j.ejrad.2015.11.010.

PMID:
26724662
4.

Dose reduction in chest CT: comparison of the adaptive iterative dose reduction 3D, adaptive iterative dose reduction, and filtered back projection reconstruction techniques.

Yamada Y, Jinzaki M, Hosokawa T, Tanami Y, Sugiura H, Abe T, Kuribayashi S.

Eur J Radiol. 2012 Dec;81(12):4185-95. doi: 10.1016/j.ejrad.2012.07.013.

PMID:
22883532
5.

Impact of adaptive iterative dose reduction (AIDR) 3D on low-dose abdominal CT: comparison with routine-dose CT using filtered back projection.

Matsuki M, Murakami T, Juri H, Yoshikawa S, Narumi Y.

Acta Radiol. 2013 Oct;54(8):869-75. doi: 10.1177/0284185113488576.

PMID:
23761554
6.

Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis.

Nagatani Y, Takahashi M, Murata K, Ikeda M, Yamashiro T, Miyara T, Koyama H, Koyama M, Sato Y, Moriya H, Noma S, Tomiyama N, Ohno Y, Murayama S; investigators of ACTIve study group..

Eur J Radiol. 2015 Jul;84(7):1401-12. doi: 10.1016/j.ejrad.2015.03.012.

7.

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 Mar-Apr;15(2):195-204. doi: 10.3348/kjr.2014.15.2.195.

8.

Pulmonary high-resolution ultrashort TE MR imaging: Comparison with thin-section standard- and low-dose computed tomography for the assessment of pulmonary parenchyma diseases.

Ohno Y, Koyama H, Yoshikawa T, Seki S, Takenaka D, Yui M, Lu A, Miyazaki M, Sugimura K.

J Magn Reson Imaging. 2016 Feb;43(2):512-32. doi: 10.1002/jmri.25008.

PMID:
26223818
9.

Emphysema quantification on low-dose CT using percentage of low-attenuation volume and size distribution of low-attenuation lung regions: effects of adaptive iterative dose reduction using 3D processing.

Nishio M, Matsumoto S, Seki S, Koyama H, Ohno Y, Fujisawa Y, Sugihara N, Yoshikawa T, Sugimura K.

Eur J Radiol. 2014 Dec;83(12):2268-76.

PMID:
25445899
10.

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 Jul-Aug;39(4):629-34. doi: 10.1097/RCT.0000000000000242.

PMID:
26125298
11.

Feasibility of radiation dose reduction using AIDR-3D in dynamic pulmonary CT perfusion.

Mirsadraee S, Weir NW, Connolly S, Murchison JT, Reid JH, Hirani N, Connell M, van Beek EJ.

Clin Radiol. 2015 Aug;70(8):844-51. doi: 10.1016/j.crad.2015.04.004.

PMID:
26005001
12.

Standard dose versus low-dose abdominal and pelvic CT: comparison between filtered back projection versus adaptive iterative dose reduction 3D.

Gervaise A, Osemont B, Louis M, Lecocq S, Teixeira P, Blum A.

Diagn Interv Imaging. 2014 Jan;95(1):47-53. doi: 10.1016/j.diii.2013.05.005.

13.

Image quality of adaptive iterative dose reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection.

Yoo RE, Park EA, Lee W, Shim H, Kim YK, Chung JW, Park JH.

Int J Cardiovasc Imaging. 2013 Mar;29(3):669-76. doi: 10.1007/s10554-012-0113-6.

PMID:
22923280
14.

Diagnostic Performance and Dose Comparison of Filtered Back Projection and Adaptive Iterative Dose Reduction Three-dimensional CT Enterography in Children and Young Adults.

Wallihan DB, Podberesky DJ, Sullivan J, Denson LA, Zhang B, Salisbury SR, Towbin AJ.

Radiology. 2015 Jul;276(1):233-42. doi: 10.1148/radiol.14140468.

PMID:
25654668
15.

CT image quality improvement using Adaptive Iterative Dose Reduction with wide-volume acquisition on 320-detector CT.

Gervaise A, Osemont B, Lecocq S, Noel A, Micard E, Felblinger J, Blum A.

Eur Radiol. 2012 Feb;22(2):295-301. doi: 10.1007/s00330-011-2271-7.

PMID:
21927791
16.

CT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction.

Ichikawa Y, Kitagawa K, Nagasawa N, Murashima S, Sakuma H.

BMC Med Imaging. 2013 Aug 9;13:27. doi: 10.1186/1471-2342-13-27.

17.

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. doi: 10.1007/s00261-014-0333-4.

PMID:
25526686
18.

Ultra-low-dose CT of the lung: effect of iterative reconstruction techniques on image quality.

Yanagawa M, Gyobu T, Leung AN, Kawai M, Kawata Y, Sumikawa H, Honda O, Tomiyama N.

Acad Radiol. 2014 Jun;21(6):695-703. doi: 10.1016/j.acra.2014.01.023.

PMID:
24713541
19.

Adaptive iterative dose reduction 3D versus filtered back projection in CT: evaluation of image quality.

Joemai RM, Veldkamp WJ, Kroft LJ, Hernandez-Giron I, Geleijns J.

AJR Am J Roentgenol. 2013 Dec;201(6):1291-7. doi: 10.2214/AJR.12.9780.

PMID:
24261369
20.

The Impact of Different Levels of Adaptive Iterative Dose Reduction 3D on Image Quality of 320-Row Coronary CT Angiography: A Clinical Trial.

Feger S, Rief M, Zimmermann E, Martus P, Schuijf JD, Blobel J, Richter F, Dewey M.

PLoS One. 2015 May 6;10(5):e0125943. doi: 10.1371/journal.pone.0125943.

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