Image quality of multiplanar reconstruction of pulmonary CT scans using adaptive statistical iterative reconstruction

British Journal of Radiology

Volumn 84, Issue 1000, 2011, Pages 335-341

  Honda, Osamu ^a   Yanagawa, M ^a   Inoue, A ^a   Kikuyama, A ^a   Yoshida, S ^b   Sumikawa, H ^a   Tobino, K ^a,c   Koyama, M ^a   Tomiyama, N ^a  

^a OSAKA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^b Department of Radiology ^*  (Japan)

^c JUNTENDO UNIVERSITY SCHOOL OF MEDICINE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFACT; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; HUMAN; IMAGE QUALITY; IMAGE RECONSTRUCTION; LUNG SCINTISCANNING; LUNG STRUCTURE; NOISE; SCORING SYSTEM; VISUAL ANALOG SCALE;

ALGORITHMS; ARTIFACTS; CONTRAST MEDIA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; RADIATION DOSAGE; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79952812090     PISSN: 00071285     EISSN: None     Source Type: Journal    
DOI: 10.1259/bjr/57998586     Document Type: Article

References (21)

1. Arakawa H, Sasaka K, Lu WM, Hirayanagi N, Nakajima Y. Comparison of axial high-resolution CT and thin-section multiplanar reformation (MPR) for diagnosis of diseases of the pulmonary parenchyma: preliminary study in 49 patients. J Thorac Imaging 2004;19:24-31. (Pubitemid 38114384)
2. Choi EJ, Oh YW, Ham SY, Lee KY, Kang EY. Comparison between coronal reformatted images and direct coronal CT images of the swine lung specimen: assessment of image quality with 64-detector row CT. Br J Radiol 2008;81:463-7. (Pubitemid 351957757)
3. Pretorius PH, King MA, Pan TS, de Vries DJ, Glick SJ, Byrne CL. Reducing the influence of the partial volume effect on SPECT activity quantitation with 3D modelling of spatial resolution in iterative reconstruction. Phys Med Biol 1998;43:407-20. (Pubitemid 28100141)
4. Wells RG, KingMA, Simkin PH, Judy PF, BrillAB, Gifford HC, et al. Comparing filtered backprojection and ordered-subsets expectation maximization for small-lesion detection and localization in 67Ga SPECT. J Nucl Med 2000;41:1391-9. (Pubitemid 30643382)
5. Knesaurek K, Machac J, Vallabhajosula S, Buchsbaum MS. A new iterative reconstruction technique for attenuation correction in high-resolution positron emission tomography. Eur J Nucl Med 1996;23:656-61. (Pubitemid 26187214)
6. Riddell C, Carson RE, Carrasquillo JA, Libutti SK, Danforth DN, Whatley M, et al. Noise reduction in oncology FDG PET images by iterative reconstruction: a quantitative assessment. J Nucl Med 2001;42:1316-23. (Pubitemid 32852605)
7. Markarian B, Dailey ET. Preparation of inflated lung specimens. In: Heitzman ER, editor. The lung: radiologic-pathologic correlations, 3rd edn. St. Louis, MO: Mosby, 1993: 4-12.
8. Wang G, Yu H, De Man B. An outlook on x-ray CT research and development. Med Phys 2008;35:1051-64. (Pubitemid 351322651)
9. Thibault JB, Sauer KD, Bouman CA, Hsieh J. A three-dimensional statistical approach to improved image quality for multislice helical CT. Med Phys 2007;34:4526-44. (Pubitemid 350029675)
10. Elbakri IA, Fessler JA. Statistical image reconstruction for polyenergetic X-ray computed tomography. IEEE Trans Med Imaging 2002;21:89-99. (Pubitemid 34466423)
11. Silva AC, Lawder HJ, Hara A, Kujak J, Pavlicek W. Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 2010;194:191-9.
12. Hara AK, Paden RG, Silva AC, Kujak JL, Lawder HJ, Pavlicek W. Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study. AJR Am J Roentgenol 2009;193:764-71.
13. Prakash P, Kalra MK, Kambadakone AK, Pien H, Hsieh J, Blake MA, et al. Reducing abdominal CT radiation dose with adaptive statistical iterative reconstruction technique. Invest Radiol 2010;45:202-10.
14. Prakash P, Kalra MK, Digumarthy SR, Hsieh J, Pien H, Singh S, et al. Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience. J Comput Assist Tomogr 2010;34:40-5.
15. Min JK, Swaminathan RV, Vass M, Gallagher S, Weinsaft JW. High-definition multidetector computed tomography for evaluation of coronary artery stents: comparison to standard-definition 64-detector row computed tomography. J Cardiovasc Comput Tomogr 2009;3:246-51.
16. Murata K, Khan A, Rojas KA, Herman PG. Optimization of computed tomography technique to demonstrate the fine structure of the lung. Invest Radiol 1988;23:170-5.
17. Mayo JR, Webb WR, Gould R, Stein MG, Bass I, Gamsu G, et al. High-resolution CT of the lungs: an optimal approach. Radiology 1987;163:507-10. (Pubitemid 17068935)
18. Zwirewich CV, Terriff B, Müller NL. High-spatial-frequency (bone) algorithm improves quality of standard CT of the thorax. AJR Am J Roentgenol 1989;153:1169-73. (Pubitemid 20006530)
19. Mühlenbruch G, Klotz E, Wildberger JE, Koos R, Das M, Niethammer M, et al. The accuracy of 1- and 3-mm slices in coronary calcium scoring using multi-slice CT in vitro and in vivo. Eur Radiol 2007;17:321-9. (Pubitemid 46140304)
20. Schoepf UJ, Becker CR, Bruening RD, Helmberger T, Staebler A, Leimeister P, et al. Electrocardiographically gated thin-section CT of the lung. Radiology 1999;212:649-54. (Pubitemid 29410962)
21. Nishiura M, Johkoh T, Yamamoto S, Honda O, Kozuka T, Koyama M, et al. Electrocardiography-triggered highresolution CT for reducing cardiac motion artefact: evaluation of the extent of ground-glass attenuation in patients with idiopathic pulmonary fibrosis. Radiat Med 2007;25:523-8. (Pubitemid 351928002)