Noise reduction in spectral CT: Reducing dose and breaking the trade-off between image noise and energy bin selection

Medical Physics

Volumn 38, Issue 9, 2011, Pages 4946-4957

  Leng, Shuai ^a   Yu, Lifeng ^a   Wang, Jia ^a   Fletcher, Joel G ^a   Mistretta, Charles A ^b   McCollough, Cynthia H ^a  

^a Mayo Clinic   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; ECONOMIC AND SOCIAL EFFECTS; HOSPITAL DATA PROCESSING; IMAGE DENOISING; IMAGE ENHANCEMENT; IMAGE RESOLUTION; NOISE ABATEMENT; NUMERICAL METHODS; PHOTONS; POTASH; POTASSIUM CHLORIDE; REDUNDANCY; RUBIDIUM COMPOUNDS; STATISTICS;

FILTERED BACK-PROJECTION; INTEGRATING DETECTORS; MATERIAL IDENTIFICATION; MEAN AND STANDARD DEVIATIONS; POTASSIUM CHLORIDE SOLUTIONS; REGIONS OF INTEREST; SPECTRAL CT IMAGING; STANDARD DEVIATION;

COMPUTERIZED TOMOGRAPHY;

EID: 80052413965     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3609097     Document Type: Article

References (59)

1. R. E. Alvarez and A. Macovski, Energy-selective reconstructions in X-ray computerized tomography., Phys. Med. Biol. 21, 733-744 (1976). 10.1088/0031-9155/21/5/002
2. W. A. Kalender, W. H. Perman, J. R. Vetter, and E. Klotz, Evaluation of a prototype dual-energy computed tomographic apparatus. I. Phantom studies., Med. Phys. 13, 334-339 (1986). 10.1118/1.595958
3. R. E. Alvarez, J. A. Seibert, and S. K. Thompson, Comparison of dual energy detector system performance., Med. Phys. 31, 556-565 (2004). 10.1118/1.1645679
4. T. R. Johnson, B. Krauss, M. Sedlmair, M. Grasruck, H. Bruder, D. Morhard, C. Fink, S. Weckbach, M. Lenhard, B. Schmidt, T. Flohr, M. F. Reiser, and C. R. Becker, Material differentiation by dual energy CT: initial experience., Eur. Radiol. 17, 1510-1517 (2007). 10.1007/s00330-006-0517-6
5. A. K. Bacani, C. H. McCollough, K. N. Glazebrook, J. R. Bond, C. J. Michet, J. Milks, and N. J. Manek, Dual energy computed tomography for quantification of tissue urate deposits in tophaceous gout: help from modern physics in the management of an ancient disease., Rheumatol. Int. (2009).
6. A. N. Primak, J. G. Fletcher, T. J. Vrtiska, O. P. Dzyubak, J. C. Lieske, M. E. Jackson, J. C. Williams, Jr. , and C. H. McCollough, Noninvasive differentiation of uric acid versus non-uric acid kidney stones using dual-energy CT., Acad. Radiol. 14, 1441-1447 (2007). 10.1016/j.acra.2007.09.016
7. R. K. Swank, Absorption and noise in x-ray phosphors., J. Appl. Phys. 44, 4199-4203 (1973). 10.1063/1.1662918
8. R. N. Cahn, B. Cederstrom, M. Danielsson, A. Hall, M. Lundqvist, and D. Nygren, Detective quantum efficiency dependence on x-ray energy weighting in mammography., Med. Phys. 26, 2680-2683 (1999). 10.1118/1.598807
9. J. Giersch, D. Niederlohner, and G. Anton, The influence of energy weighting on X-ray imaging quality., Nucl.Instrum. Methods Phys. Res.A 531, 68-74 (2004). 10.1016/j.nima.2004.05.076
10. M. Sandborg and G. A. Carlsson, Influence of X-ray energy spectrum, contrasting detail and detector on the signal-to-noise ratio (SNR) and detective quantum efficiency (DQE) in projection radiography., Phys. Med. Biol. 37, 1245-1263 (1992). 10.1088/0031-9155/37/6/004
11. M. Tapiovaara and R. Wagner, SNR and DQE analysis of broad spectrum x-ray imaging., Phys. Med. Biol. 30, 519-529 (1985). 10.1088/0031-9155/30/6/002
12. T. G. Schmidt, Optimal image-based weighting for energy-resolved CT., Med. Phys. 36, 3018-3027 (2009). 10.1118/1.3148535
13. P. M. Shikhaliev, T. Xu, and S. Molloi, Photon counting computed tomography: concept and initial results., Med. Phys. 32, 427-436 (2005). 10.1118/1.1854779
14. A. P. H. Butler, N. G. Anderson, R. Tipples, N. Cook, R. Watts, J. Meyer, A. J. Bell, T. R. Melzer, and P. H. Butler, Bio-medical x-ray imaging with spectroscopic pixel detectors., Nucl. Instrum. Methods Phys. Res. A 591, (2008). 10.1016/j.nima.2008.03.039
15. E. Roessl and R. Proksa, K-edge imaging in x-ray computed tomography using multi-bin photon counting detectors., Phys. Med. Biol. 52, 4679-4696 (2007). 10.1088/0031-9155/52/15/020
16. J. P. Schlomka, E. Roessl, R. Dorscheid, S. Dill, G. Martens, T. Istel, C. Baumer, C. Herrmann, R. Steadman, G. Zeitler, A. Livne, and R. Proksa, Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography., Phys. Med. Biol. 53, 4031-4047 (2008). 10.1088/0031-9155/53/15/002
17. D. T. Boll, N. A. Patil, E. K. Paulson, E. M. Merkle, R. C. Nelson, S. T. Schindera, E. Roessl, G. Martens, R. Proksa, T. R. Fleiter, and J. P. Schlomka, Focal Cystic High-Attenuation Lesions: Characterization in Renal Phantom by Using Photon-counting Spectral CT-Improved Differentiation of Lesion Composition., Radiology 254, 270-276 (2010). 10.1148/radiol.09090068
18. S. Feuerlein, E. Roessl, R. Proksa, G. Martens, O. Klass, M. Jeltsch, V. Rasche, H. J. Brambs, M. H. Hoffmann, and J. P. Schlomka, Multienergy photon-counting K-edge imaging: potential for improved luminal depiction in vascular imaging., Radiology 249, 1010-1016 (2008). 10.1148/radiol.2492080560
19. F. Arfelli, V. Bonvicini, A. Bravin, G. Cantatore, E. Castelli, L. Dalla Palma, M. Di Michiel, R. Longo, A. Olivo, S. Pani, D. Pontoni, P. Poropat, M. Prest, A. Rashevsky, G. Tromba, A. Vacchi, and E. Vallazza, At the frontiers of digital mammography: SYRMEP., Nucl. Instrum. Methods Phys. Res. A 409, 529-533 (1998). 10.1016/S0168-9002(97)01309-0
20. E. Beuville, B. Cederstrom, M. Danielsson, L. Luo, D. Nygren, E. Oltman, and J. Vestlund, An application specific integrated circuit and data acquisition system for digital X-ray imaging., Nucl. Instrum. Methods Phys. Res. A 406, 337-342 (1998).
21. S. R. Amendolia, M. G. Bisogni, P. Delogu, M. E. Fantacci, G. Paternoster, V. Rosso, and A. Stefanini, Characterization of a mammographic system based on single photon counting pixel arrays coupled to GaAs x-ray detectors., Med. Phy. 36, 1330-1339 (2009). 10.1118/1.3097284
22. C. Bert, D. Niederlohner, J. Giersch, K. F. Pfeiffer, and G. Anton, Computed tomography using the Medipix1 chip., Nucl. Instrum. Methods Phys. Res. A 509, 240-250 (2003). 10.1016/S0168-9002(03)01633-4
23. E. Beuville, R. Cahn, B. Cederstrom, M. Danielsson, A. Hall, B. Hasegawa, L. Luo, M. Lundqvist, D. Nygren, E. Oltman, and J. Walton, High resolution X-ray imaging using a silicon strip detector., IEEE Trans. Nucl. Sci. 45, 3059-3063 (1998). 10.1109/23.737664
24. M. Chmeissani, C. Frojdh, O. Gal, X. Llopart, J. Ludwig, M. Maiorino, E. Manach, G. Mettivier, M. C. Montesi, C. Ponchut, P. Russo, L. Tlustos, and A. Zwerger, First experimental tests with a CdTe photon counting pixel detector hybridized with a Medipix2 readout chip., IEEE Trans. Nucl. Sci. 51, 2379-2385 (2004). 10.1109/TNS.2004.832324
25. P. C. Johns, J. Dubeau, D. G. Gobbi, M. Li, and M. S. Dixit, Photon-counting detectors for digital radiography and x-ray computed tomography., Proc. SPIE, 367-369 (2002).
26. W. C. Barber, E. Nygard, J. S. Iwanczyk, M. Zhang, E. C. Frey, B. M. W. Tsui, J. C. Wessel, N. Malakhov, G. Wawrzyniak, N. E. Hartsough, T. Gandhi, and K. Taguchi, Characterization of a novel photon counting detector for clinical CT: count rate, energy resolution, and noise performance., Proc. SPIE, 7258, 725824 (2009). 10.1117/12.813915
27. S. Kappler, F. Glasser, S. Janssen, E. Kraft, and M. Reinwand, A research prototype system for quantum-counting clinical CT., Proc. SPIE, 7622-7670, (2010).
28. P. M. Shikhaliev, Computed tomography with energy-resolved detection: a feasibility study., Phys. Med. Biol. 53, 1475-1495 (2008). 10.1088/0031-9155/53/ 5/020
29. H. Bornefalk and M. Danielsson, Photon-counting spectral computed tomography using silicon strip detectors: a feasibility study., Phys. Med. Biol. 55, 1999-2022 (2010). 10.1088/0031-9155/55/7/014
30. J. Dammer, P. M. Frallicciardi, J. Jakubek, M. Jakubek, S. Pospisil, E. Prenerova, D. Vavrik, L. Volter, F. Weyda, and R. Zemek, Real-time in-vivo mu-imaging with Medipix2., Nucl. Instrum. Methods Phys. Res. A 607, 205-207 (2009). 10.1016/j.nima.2009.03.154
31. M. Firsching, A. P. Butler, N. Scott, N. G. Anderson, T. Michel, and G. Anton, Contrast agent recognition in small animal CT using the Medipix2 detector., Nucl. Instrum. Methods Phys. Res. A 607, 179-182 (2009). 10.1016/j.nima.2009.03.141
32. J. S. Iwanczyk, E. Nygard, O. Meirav, J. Arenson, W. C. Barber, N. E. Hartsough, N. Malakhov, and J. C. Wessel, Photon counting energy dispersive detector arrays for x-ray imaging., IEEE Trans. Nucl. Sci. 56, 535-542 (2009). 10.1109/TNS.2009.2013709
33. R. Ballabriga, M. Campbell, E. H. M. Heijne, X. Llopart, and L. Tlustos, The medipix3 prototype, a pixel readout chip working in single photon counting mode with improved spectrometric performance., IEEE Trans. Nucl. Sci. 54, 1824-1829 (2007). 10.1109/TNS.2007.906163
34. C. Ponchut, Correction of the charge sharing in photon-counting pixel detector data., Nucl. Instrum. Methods Phys. Res. A 591, 311-313 (2008). 10.1016/j.nima.2008.03.080
35. K. Taguchi, E. C. Frey, X. Wang, J. S. Iwanczyk, and W. C. Barber, An analytical model of the effects of pulse pileup on the energy spectrum recorded by energy resolved photon counting x-ray detectors., Med. Phys. 37, 3957-3969 (2010). 10.1118/1.3429056
36. K. Taguchi, M. Zhang, E. C. Frey, X. Wang, J. S. Iwanczyk, E. Nygard, N. E. Hartsough, B. M. Tsui, and W. C. Barber, Modeling the performance of a photon counting x-ray detector for CT: energy response and pulse pileup effects., Med. Phys. 38, 1089-1102 (2011). 10.1118/1.3539602
37. P. M. Shikhaliev, S. G. Fritz, and J. W. Chapman, Photon counting multienergy x-ray imaging: effect of the characteristic x rays on detector performance., Med. Phys. 36, 5107-5119 (2009). 10.1118/1.3245875
38. B. J. Heismann, J. Leppert, and K. Stierstorfer, Density and atomic number measurements with spectral x-ray attenuation method., J. Appl. Phys. 94, 2073-2079 (2003). 10.1063/1.1586963
39. L. A. Lehmann, R. E. Alvarez, A. Macovski, W. R. Brody, N. J. Pelc, S. J. Riederer, and A. L. Hall, Generalized image combinations in dual KVP digital radiography., Med. Phys. 8, 659-667 (1981). 10.1118/1.595025
40. X. Liu, L. Yu, A. N. Primak, and C. H. McCollough, Quantitative imaging of element composition and mass fraction using dual-energy CT: three-material decomposition (PMC2719492)., Med. Phys. 36, 1602-1609 (2009). 10.1118/1.3097632
41. W. A. Kalender, E. Klotz, and L. Kostaridou, An algorithm for noise suppression in dual energy CT material density images., IEEE Trans. Med. Imaging 7, 218-224 (1988). 10.1109/42.7785
42. F. Kelcz, P. M. Joseph, and S. K. Hilal, Noise considerations in dual energy CT scanning., Med. Phys. 6, 418-425 (1979). 10.1118/1.594520
43. A. S. Wang and N. J. Pelc, Sufficient Statistics as a Generalization of Binning in Spectral X-ray Imaging., IEEE Trans. Med. Imaging 30, 84-93 (2011). 10.1109/TMI.2010.2061862
44. X. Wang, D. Meier, K. Taguchi, D. Wagenaar, B. Patt, and E. C. Frey, Material separation in x-ray CT with energy resolved photon-counting detectors., Med. Phys. 38, 1534-1546 (2011). 10.1118/1.3553401
45. Q. Le Huy and S. Molloi, Least squares parameter estimation methods for material decomposition with energy discriminating detectors., Med. Phys. 38, 245-255 (2011). 10.1118/1.3525840
46. E. Roessl and C. Herrmann, Cramer-Rao lower bound of basis image noise in multiple-energy x-ray imaging., Phys. Med. Biol. 54, 1307-1318 (2009). 10.1088/0031-9155/54/5/014
47. K. M. Johnson, J. Velikina, Y. Wu, S. Kecskemeti, O. Wieben, and C. A. Mistretta, Improved Waveform Fidelity Using Local HYPR Reconstruction (HYPR LR)., Magn. Reson. Med. 59, 456-462 (2008). 10.1002/mrm.v59:3
48. C. A. Mistretta, O. Wieben, J. Velikina, W. Block, J. Perry, Y. Wu, K. Johnson, and Y. Wu, Highly constrained backprojection for time-resolved MRI., Magn. Reson. Med. 55, 30-40 (2006). 10.1002/mrm.v55:1
49. X. Liu, A. N. Primak, J. D. Krier, L. Yu, L. O. Lerman, and C. H. McCollough, Renal perfusion and hemodynamics: accurate in vivo determination at CT with a 10-fold decrease in radiation dose and HYPR noise reduction., Radiology 253, 98-105 (2009). 10.1148/radiol.2531081677
50. M. Speidel, M. Van Lysel, S. Reeder, M. Supanich, B. Nett, J. Zambelli, and S. M. Chang, ECG-gated HYPR reconstruction for undersampled CT myocardial perfusion imaging., SPIE Med. Imaging 6510, 651014 (2007).
51. M. Supanich, Y. Tao, B. Nett, K. Pulfer, J. Hsieh, P. Turski, C. Mistretta, H. Rowley, and G. H. Chen, Radiation dose reduction in time-resolved CT angiography using highly constrained back projection reconstruction., Phys. Med. Biol. 54, 4575-4593 (2009). 10.1088/0031-9155/54/14/013
52. S. Leng, C. H. McCollough, J. G. Fletcher, and L. Yu, Image noise and radiation dose reduction in spectral CT., Med. Phys. 37, 3408 (2010). 10.1118/1.3469317
53. S. Leng, J. Wang, L. Yu, J. G. Fletcher, C. Mistretta, and C. H. McCollough, Image noise and radiation dose reduction in spectral CT: Simulation study using photon Counting Detectors., RSNA Annual Meeting (SSC14-06) (2010).
54. A. Kak and S. Manely, Principles of computerized tomographic imaging., 1988.
55. X. Llopart, M. Campbell, R. Dinapoli, D. San Segundo, and E. Pernigotti, Medipix2: A 64-k pixel readout chip with 55-m square elements working in single photon counting mode., IEEE Trans. Nucl. Sci. 49, 2279-2283 (2002). 10.1109/TNS.2002.803788
56. J. M. Boone, Determination of the presampled MTF in computed tomography., Med. Phys. 28, 356-360 (2001). 10.1118/1.1350438
57. G. H. Chen, J. Tang, and S. Leng, Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets., Med. Phys. 35, 660-663 (2008). 10.1118/1.2836423
58. X. Liu, A. N. Primak, L. Yu, H. Li, J. D. Krier, L. O. Lerman, and C. H. McCollough, Quantitative evaluation of noise reduction algorithms for very low dose renal CT perfusion imaging. SPIE Med. Imaging (2009).
59. J. Ramirez-Giraldo, J. Trzasko, S. Leng, L. Yu, A. Manduca, and C. H. McCollough, Nonconvex prior image constrained compressed sensing (NCPICCS): Theory and simulations on perfusion CT., Med. Phys. 38, 2157-2167 (2011). 10.1118/1.3560878