Abstract
This chapter discusses an overview of the complexities of CT image quality. It focuses primarily on the image quality of conventional CT scanners in common clinical use and includes some references to emerging new technologies and reconstruction methods. A review of the fundamental physics of a CT image is provided along with an explanation of why low kV scanning can be a useful dose reduction strategy if approached cautiously. Measurable image characteristics for spatial resolution, image noise and low contrast detectability are discussed along with a summary of image artifacts. Particular emphasis is given to CT noise and low contrast detectability, since these are the image quality characteristics most influenced by dose usage. Noise and detectability are the essence of the clinical dose dilemma: what do I need to detect and how much dose is necessary to be able to confidently detect its presence or absence?
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References
AAPM (2011) Report 204, Size Specific Dose Estimates (SSDE) in Pediatric and Adult Body Examinations
Barrett HH, Myers KJ (2004) Foundations of image science. Wiley
Boone JM, Geraghty EM, Seibert JA, Wootton-Gorges SL (2003) Dose reduction in pediatric CT: a rational approach. Radiology 228:352–360
Chakraborty D, Eckert M (1995) Quantitative versus subjective evaluation of mammography accreditation phantom images. Med Phys 22(2):133–143
Chao EH, Toth TL, Bromberg NB, Williams EC, Fox SH, Carleton DA (2000) A statistical method of defining low contrast detectability. Radiology 217:162
Chen CY, Chuang KS, Wu J, Lin HR, Li MJ (2001) Beam hardening correction for computed tomography images using a post reconstruction method and equivalent tissue concept. J Digit Imaging 14(2):54–61
Flohr TG, Stierstorfer K, Süss C, Schmidt B, Primak AN, McCollough CH (2007) Novel ultrahigh resolution data acquisition and image reconstruction for multi-detector row CT. Med Phys 34(5):1712–1723
Gagne R, Gallas B, Myers K (2006) Toward objective and quantitative evaluation of imaging systems using images of phantoms. Med Phys 33(1):83–95
Hanson KM (1977) Detectability in the presence of computed tomographic reconstruction noise, SPIE vol 127 Optical instrumentation in medicine VI
Hsieh J (2003) Computed Tomography principle design, artifacts, and recent advances. SPIE press, Bellingham
ICRU Report 54 (1996) Medical Imaging—The assessment of image quality, April 1996
Joseph PM, Spital RD (1982) The effects of scatter in X-ray computed tomography. Med Phys 9(4):464–472
Judy P, Swensson R (1985) Detectibility of lesions of various sizes on CT images, SPIE Vol 535, Application of optimal instrumentation in medicine XIII
Kalender WA, Wolf H, Suess C, Gies M, Greess H, Bautz WA (1999) Dose reduction in CT by on-line tube current control: principles and validation on phantoms and cadavers. Eur Radiol 9:323–328
Kalra MK et al (2003) Can noise reduction filters improve low-radiation-dose chest ct images? pilot study. Radiology
Keat N (2003) Edyvean S. Low contrast detail detectability measurements on multi-slice CT scanners, RSNA
La Rivière PJ, Pan X (2004) Sampling and aliasing consequences of quarter-detector offset use in helical CT. IEEE Trans Med Imaging 23(6):738–749
Levison M, Restle F (1968) Invalid results from the method of constant stimuli. Percept Psychophys, 4, 121–122
McCollough EC (1975) Photon attenuation in computed tomography. Med Phys, vol 2 No. 6, No7./Dec
Menke J (2005) Comparison of different body size parameters for individual dose adaptation in body CT of adults. Radiology 236:565–571
Popescu LM (2007) Nonparametric ROC and LROC analysis. Med Phys 34(5):1556–1564
Rohler DP, Toth TL, McNitt-Gray M, Maniyedath A, Izen SH (2010) Extended image quality index (ExIQx) relating image quality and dose over the full CT operating range and for all patient sizes, RSNA, SSK15-01, Physics (CT dose optimization)
Rose A (1974) Vision: human and electronic. Plenum Press, New York
Rose A (1948) The sensitivity performance of the human eye on an absolute scale. J Opt Soc Am 38(2)
Wagner RF, Brown DG, Pastel MS (1979) Application of information theory to the application of computed tomography. Med Phys 6(2)
Singh S, Kalra MK, Gilman MD, Hsieh J, Pien HH, Digumarthy SR, Shepard JO (2011) Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest ct: a pilot study, Radiology 259(2)
Toth TL, Bromberg NB, Pan TS, Rabe J, Woloschek SJ, Li J, Seidenschnur GE (2000) A dose reduction X-ray beam positioning system for high-speed multislice CT scanners. Med Phys 27:2659
Toth TL, Ge Z, Daly M (2007) The influence patient size, and patient centering on CT dose and noise. Med Phys 34(7):3093–3101
Wilting J, Zwartkruis A, van Leeuwen M, Timmer J, Kamphuis A, Feldberg M (2001) A rational approach to dose reduction in CT: individualized scan protocols. Eur Radiol 11:2627–2632
Yester MV, Barnes GT (1977) Geometrical limitations of computed tomography (CT) scanner resolution. Proc SPIE Appl Opt Instr In Med VI 127:296–303
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Toth, T.L. (2012). Image Quality in CT: Challenges and Perspectives. In: Tack, D., Kalra, M., Gevenois, P. (eds) Radiation Dose from Multidetector CT. Medical Radiology(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/174_2011_482
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DOI: https://doi.org/10.1007/174_2011_482
Publisher Name: Springer, Berlin, Heidelberg
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