Effects of computing parameters and measurement locations on the estimation of 3D NPS in non-stationary MDCT images

Physica Medica

Volumn 29, Issue 6, 2013, Pages 684-694

  Miéville, Frédéric A ^a   Bolard, Gregory ^b   Bulling, Shelley ^b   Gudinchet, François ^a   Bochud, François O ^a   Verdun, François R ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b CLINIQUE DE GENOLIER   (Switzerland)

Author keywords

3D imaging; CBCT; Computed tomography; Image quality; MDCT; Measurement method; Noise power spectrum; Noise stationarity

Indexed keywords

WATER;

ARTICLE; COMPUTED TOMOGRAPHY SCANNER; IMAGE PROCESSING; IMAGE QUALITY; IMAGING SYSTEM; MATHEMATICAL COMPUTING; MEASUREMENT ACCURACY; MULTIDETECTOR COMPUTED TOMOGRAPHY; NOISE MEASUREMENT; NOISE POWER SPECTRUM; PHYSICAL PARAMETERS; RADIOLOGY PHANTOM; THREE DIMENSIONAL IMAGING; VOLUMES OF INTEREST;

3D IMAGING; CBCT; COMPUTED TOMOGRAPHY; IMAGE QUALITY; MDCT; MEASUREMENT METHOD; NOISE POWER SPECTRUM; NOISE STATIONARITY;

IMAGING, THREE-DIMENSIONAL; PHANTOMS, IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84885951917     PISSN: 11201797     EISSN: 1724191X     Source Type: Journal    
DOI: 10.1016/j.ejmp.2012.07.001     Document Type: Article

References (29)

1. International commission on radiation units and measurements report no. 54, medical imaging-the assessment of image quality 1996, ICRU, Bethesda, MD.
2. Bischof C.J., Ehrhardt J.C. Modulation transfer function of the EMI CT head scanner. Med Phys 1977, 4(2):163-167.
3. Judy P.F. The line spread function and modulation transfer function of a computed tomographic scanner. Med Phys 1976, 3(4):233-236.
4. Dobbins J.T., Ergun D.L., Rutz L., Hinshaw D.A., Blume H., Clarke D.C. DQE(f) of four generations of computed radiography acquisition devices. Med Phys 1995, 22(11):1581-1593.
5. Droege R.T., Morin R.L. Apractical method to measure the MTF of CT scanners. Med Phys 1982, 9(5):758-760.
6. Boone J.M. Determination of the presampled MTF in computed tomography. Med Phys 2001, 28(3):356-360.
7. Boedeker K.L., Cooper V.N., McNitt-Gray M.F. Application of the noise power spectrum in modern diagnostic MDCT: part I. Measurement of noise power spectra and noise equivalent quanta. Phys Med Biol 2007, 52(14):4027-4046.
8. Brunner C.C., Renger B., Hoeschen C., Kyprianou I.S. Investigation of a method to estimate the MTF and NPS of CT towards creating an international standard. Proc of SPIE 2011, 7961. 79679611C3C-1-79613C-8.
9. Miéville F.A., Beaumont S., Torfeh T., Gudinchet F., Verdun F.R. Computed tomography commissioning programmes: how to obtain a reliable MTF with an automatic approach?. Radiat Prot Dosim 2010, 139(1-3):443-448.
10. Kwan A.L., Boone J.M., Yang K., Huang S.Y. Evaluation of the spatial resolution characteristics of a cone-beam breast CT scanner. Med Phys 2007, 34(1):275-281.
11. Kijewski M.F., Judy P.F. The noise power spectrum of CT images. Phys Med Biol 1987, 32(5):565-575.
12. Hanson K.M. Asimplified method of estimating noise power spectra. Proc SPIE 1998, 3336:243-250.
13. Tang X., Yang Y., Tang S. Characterization of imaging performance in differential phase contrast CT compared with the conventional CT-noise power spectrum NPS(k). Med Phys 2011, 38(7):4386-4395.
14. ImPACT leaflet No. 1, v. 1.02, CT scanner acceptance testing 2001, London.
15. Monnin P., Bochud F.O., Verdun F.R. Using a NPWE model observer to assess suitable image quality for a digital mammography quality assurance programme. Radiat Prot Dosim 2010, 139(1-3):459-462.
16. Zhao B., Zhou J., Hu Y.H., Mertelmeier T., Ludwig J., Zhao W. Experimental validation of a three-dimensional linear system model for breast tomosynthesis. Med Phys 2009, 36(1):240-251.
17. Richard S., Samei E. Quantitative imaging in breast tomosynthesis and CT: comparison of detection and estimation task performance. Med Phys 2010, 37(6):2627-2637.
18. Gang G.J., Lee J., Stayman J.W., Tward D.J., Zbijewski W., Prince J.L., et al. The generalized NEQ and detectability index for tomosynthesis and cone-beam CT: from cascaded systems analysis to human observers. Proc SPIE 2010, 7622. 76220Y-76221Y-76220Y-11.
19. Riederer S.J., Pelc N.J., Chesler D.A. The noise power spectrum in computed x-ray tomography. Phys Med Biol 1978, 23(3):446-454.
20. Baek J., Pelc N.J. The noise power spectrum in CT with direct fan beam reconstruction. Med Phys 2010, 37(5):2074-2081.
21. Baek J., Pelc N.J. Local and global 3D noise power spectrum in cone-beam CT system with FDK reconstruction. Med Phys 2011, 38(4):2122-2131.
22. Baek J., Pelc N.J. Analytical construction of 3D NPS for a cone beam CT system. Proc SPIE 2009, 7258. 725805-725811-75805-75807.
23. Siewerdsen J.H., Cunningham I.A., Jaffray D.A. Aframework for noise-power spectrum analysis of multidimensional images. Med Phys 2002, 29(11):2655-2671.
24. Yang K., Kwan A.L.C., Huang S.-Y., Packard N.J., Boone J.M. Noise power properties of a cone-beam CT system for breast cancer detection. Med Phys 2008, 35(12):5317-5327.
25. Tward D.J., Siewerdsen J.H. Cascaded systems analysis of the 3D noise transfer characteristics of flat-panel cone-beam CT. Med Phys 2008, 34(12):5510-5529.
26. Pineda A.R., Siewerdsen J.H., Tward D.J. Analysis of image noise in 3D cone-beam CT: spatial and fourier domain approaches under conditions of varying stationarity. Proc SPIE 2008, 6913. 6969131Q31Q-1-69131Q-10.
27. Tward D.J., Siewerdsen J.H. Noise aliasing and 3D NEQ of flat-panel cone-beam CT: effect of 2D/3D apertures and sampling. Med Phys 2009, 36(8):3830-3843.
28. Tward D.J., Siewerdsen J.H., Fahrig R.A., Pineda A.R. Cascaded systems analysis of the 3D NEQ for cone-beam CT and tomosynthesis. Proc SPIE 2010, 6913. 6969131S31S-1-69131S-12.
29. Brunner C.C., Hurowitz S.A., Abboud S.F., Hoeschen C., Kyprianou I.S. Noise characterization of computed tomography using the covariance matrix. Proc SPIE 2010, 7622. 76224Z-76221Z-76224Z-10.