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Items: 1 to 20 of 123

1.

Technical parameters and interpretive issues in screening computed tomography scans for lung cancer.

Donnelly EF.

J Thorac Imaging. 2012 Jul;27(4):224-9. doi: 10.1097/RTI.0b013e3182568019. Review.

PMID:
22847590
2.

Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations.

Neroladaki A, Botsikas D, Boudabbous S, Becker CD, Montet X.

Eur Radiol. 2013 Feb;23(2):360-6. doi: 10.1007/s00330-012-2627-7. Epub 2012 Aug 15.

PMID:
22892722
3.

Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1).

Armato SG 3rd, Roy AS, Macmahon H, Li F, Doi K, Sone S, Altman MB.

Acad Radiol. 2005 Mar;12(3):337-46.

PMID:
15766694
4.

Quantitative nodule detection in low dose chest CT scans: new template modeling and evaluation for CAD system design.

Farag AA, El-Baz A, Gimelfarb G, El-Ghar MA, Eldiasty T.

Med Image Comput Comput Assist Interv. 2005;8(Pt 1):720-8.

PMID:
16685910
5.

Assessing the use of digital radiography and a real-time interactive pulmonary nodule analysis system for large population lung cancer screening.

Xu Y, Ma D, He W.

Eur J Radiol. 2012 Apr;81(4):e451-6. doi: 10.1016/j.ejrad.2011.04.031. Epub 2011 May 31.

PMID:
21621935
6.

Computer-aided diagnosis in thoracic CT.

Li Q, Li F, Suzuki K, Shiraishi J, Abe H, Engelmann R, Nie Y, MacMahon H, Doi K.

Semin Ultrasound CT MR. 2005 Oct;26(5):357-63. Review.

PMID:
16274004
7.

Impact of image quality, radiologists, lung segments, and Gunnar eyewear on detectability of lung nodules in chest CT.

Christe A, Ebner L, Steiger P, Parikh SR, Shah AD, Roychoudhury K, Vock P, Roos JE.

Acta Radiol. 2013 Jul;54(6):646-51. doi: 10.1177/0284185113483677. Epub 2013 Apr 30.

PMID:
23612429
8.

Shape-based computer-aided detection of lung nodules in thoracic CT images.

Ye X, Lin X, Dehmeshki J, Slabaugh G, Beddoe G.

IEEE Trans Biomed Eng. 2009 Jul;56(7):1810-20. doi: 10.1109/TBME.2009.2017027.

PMID:
19527950
9.

Observer-independent nodule-detectability index for low-dose lung cancer screening CT: a pilot study.

Ohkubo M, Wada S, Kanai S, Ishikawa K, Marasinghe JC, Matsumoto T.

Radiol Phys Technol. 2013 Jul;6(2):492-9. doi: 10.1007/s12194-013-0225-2. Epub 2013 Jun 9.

PMID:
23749561
11.

Effect of reconstruction algorithm on image quality and identification of ground-glass opacities and partly solid nodules on low-dose thin-section CT: experimental study using chest phantom.

Koyama H, Ohno Y, Kono AA, Kusaka A, Konishi M, Yoshii M, Sugimura K.

Eur J Radiol. 2010 Jun;74(3):500-7. doi: 10.1016/j.ejrad.2009.03.013. Epub 2009 Apr 10.

PMID:
19362441
12.

Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening.

Arimura H, Katsuragawa S, Suzuki K, Li F, Shiraishi J, Sone S, Doi K.

Acad Radiol. 2004 Jun;11(6):617-29.

PMID:
15172364
13.

Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images.

Chen B, Kitasaka T, Honma H, Takabatake H, Mori M, Natori H, Mori K.

Int J Comput Assist Radiol Surg. 2012 May;7(3):465-82. doi: 10.1007/s11548-011-0638-5. Epub 2011 Jul 8.

PMID:
21739111
14.

Content-based image-retrieval system in chest computed tomography for a solitary pulmonary nodule: method and preliminary experiments.

Endo M, Aramaki T, Asakura K, Moriguchi M, Akimaru M, Osawa A, Hisanaga R, Moriya Y, Shimura K, Furukawa H, Yamaguchi K.

Int J Comput Assist Radiol Surg. 2012 Mar;7(2):331-8. doi: 10.1007/s11548-011-0668-z. Epub 2012 Jan 19.

PMID:
22258753
15.

Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility.

Wormanns D, Kohl G, Klotz E, Marheine A, Beyer F, Heindel W, Diederich S.

Eur Radiol. 2004 Jan;14(1):86-92. Epub 2003 Nov 13.

PMID:
14615902
16.

A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification.

Murphy K, van Ginneken B, Schilham AM, de Hoop BJ, Gietema HA, Prokop M.

Med Image Anal. 2009 Oct;13(5):757-70. doi: 10.1016/j.media.2009.07.001. Epub 2009 Jul 30.

PMID:
19646913
17.

Lung nodule detection in low-dose and thin-slice computed tomography.

Retico A, Delogu P, Fantacci ME, Gori I, Preite Martinez A.

Comput Biol Med. 2008 Apr;38(4):525-34. doi: 10.1016/j.compbiomed.2008.02.001. Epub 2008 Mar 14.

PMID:
18342844
18.

Ultra low-dose helical CT of the chest: evaluation in clinical cases.

Nitta N, Takahashi M, Murata K, Morita R.

Radiat Med. 1999 Jan-Feb;17(1):1-7.

PMID:
10378645
19.

Tumor staging using whole-body high-resolution 16-channel PET-CT: does additional low-dose chest CT in inspiration improve the detection of solitary pulmonary nodules?

Juergens KU, Weckesser M, Stegger L, Franzius C, Beetz M, Schober O, Heindel W, Wormanns D.

Eur Radiol. 2006 May;16(5):1131-7. Epub 2006 Feb 1.

PMID:
16450084
20.

CAD (computed-aided detection) and CADx (computer aided diagnosis) systems in identifying and characterising lung nodules on chest CT: overview of research, developments and new prospects.

Fraioli F, Serra G, Passariello R.

Radiol Med. 2010 Apr;115(3):385-402. doi: 10.1007/s11547-010-0507-2. Epub 2010 Jan 15. Review. English, Italian.

PMID:
20077046
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