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Results: 1 to 20 of 95

Similar articles for PubMed (Select 24772211)

1.

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study.

Zhao B, Tan Y, Tsai WY, Schwartz LH, Lu L.

Transl Oncol. 2014 Feb 1;7(1):88-93. eCollection 2014 Feb. Erratum in: Transl Oncol. 2014 Oct;7(5):656.

2.

Relationships of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: study with an anthropomorphic and water phantom.

Paul J, Krauss B, Banckwitz R, Maentele W, Bauer RW, Vogl TJ.

Eur J Radiol. 2012 May;81(5):e699-703. doi: 10.1016/j.ejrad.2011.01.078. Epub 2011 Feb 12.

PMID:
21316888
3.

Stenosis quantification in coronary CT angiography: impact of an integrated circuit detector with iterative reconstruction.

Morsbach F, Desbiolles L, Plass A, Leschka S, Schmidt B, Falk V, Alkadhi H, Stolzmann P.

Invest Radiol. 2013 Jan;48(1):32-40. doi: 10.1097/RLI.0b013e318274cf82.

PMID:
23192163
4.

Automated volumetry of pulmonary nodules on multidetector CT: influence of slice thickness, reconstruction algorithm and tube current. Preliminary results.

Larici AR, Storto ML, Torge M, Mereu M, Molinari F, Maggi F, Bonomo L.

Radiol Med. 2008 Feb;113(1):29-42. doi: 10.1007/s11547-008-0231-3. Epub 2008 Feb 25. English, Italian.

PMID:
18338125
5.

Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR).

Chen B, Barnhart H, Richard S, Robins M, Colsher J, Samei E.

Med Phys. 2013 Nov;40(11):111902. doi: 10.1118/1.4823463.

PMID:
24320435
6.

Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.

Petrou M, Quint LE, Nan B, Baker LH.

AJR Am J Roentgenol. 2007 Feb;188(2):306-12.

PMID:
17242235
7.

Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom images.

Petrick N, Kim HJ, Clunie D, Borradaile K, Ford R, Zeng R, Gavrielides MA, McNitt-Gray MF, Lu ZQ, Fenimore C, Zhao B, Buckler AJ.

Acad Radiol. 2014 Jan;21(1):30-40. doi: 10.1016/j.acra.2013.09.020.

PMID:
24331262
8.
9.

Characteristics and clinical application of a treatment simulator with Ct-option.

Verellen D, Vinh-Hung V, Bijdekerke P, Nijs F, Linthout N, Bel A, Storme G.

Radiother Oncol. 1999 Mar;50(3):355-66.

PMID:
10392823
10.

Evaluation of a semiautomated lung mass calculation technique for internal dosimetry applications.

Busse N, Erwin W, Pan T.

Med Phys. 2013 Dec;40(12):122503. doi: 10.1118/1.4830433.

PMID:
24320539
11.

Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners.

Goodsitt MM, Chan HP, Way TW, Larson SC, Christodoulou EG, Kim J.

Med Phys. 2006 Aug;33(8):3006-17.

13.

Volume assessment accuracy in computed tomography: a phantom study.

Prionas ND, Ray S, Boone JM.

J Appl Clin Med Phys. 2010 Apr 16;11(2):3037.

14.

Semi-automated quantification of hepatic lesions in a phantom.

Keil S, Plumhans C, Behrendt FF, Stanzel S, Suehling M, Mühlenbruch G, Mahnken AH, Günther RW, Das M.

Invest Radiol. 2009 Feb;44(2):82-8. doi: 10.1097/RLI.0b013e3181911ffa.

PMID:
19104439
15.

Pulmonary nodules with ground-glass opacity can be reliably measured with low-dose techniques regardless of iterative reconstruction: results of a phantom study.

Siegelman JW, Supanich MP, Gavrielides MA.

AJR Am J Roentgenol. 2015 Jun;204(6):1242-7. doi: 10.2214/AJR.14.13820.

PMID:
26001234
17.

Clinical lymph node staging--influence of slice thickness and reconstruction kernel on volumetry and RECIST measurements.

Fabel M, Wulff A, Heckel F, Bornemann L, Freitag-Wolf S, Heller M, Biederer J, Bolte H.

Eur J Radiol. 2012 Nov;81(11):3124-30. doi: 10.1016/j.ejrad.2012.03.008. Epub 2012 Mar 29.

PMID:
22464844
18.

Clinical evaluations of an amplitude-based binning algorithm for 4DCT reconstruction in radiation therapy.

Li H, Noel C, Garcia-Ramirez J, Low D, Bradley J, Robinson C, Mutic S, Parikh P.

Med Phys. 2012 Feb;39(2):922-32. doi: 10.1118/1.3679015.

PMID:
22320802
19.

Influence of slice thickness and reconstruction kernel on the computed tomographic attenuation of coronary atherosclerotic plaque.

Achenbach S, Boehmer K, Pflederer T, Ropers D, Seltmann M, Lell M, Anders K, Kuettner A, Uder M, Daniel WG, Marwan M.

J Cardiovasc Comput Tomogr. 2010 Mar-Apr;4(2):110-5. doi: 10.1016/j.jcct.2010.01.013. Epub 2010 Jan 21.

PMID:
20430341
20.

Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters.

Willemink MJ, Leiner T, Budde RP, de Kort FP, Vliegenthart R, van Ooijen PM, Oudkerk M, de Jong PA.

AJR Am J Roentgenol. 2012 Dec;199(6):1241-6. doi: 10.2214/AJR.12.8727.

PMID:
23169714
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