Iterative reconstruction algorithm for CT: Can radiation dose be decreased while low-contrast detectability is preserved?

Radiology

Volumn 269, Issue 2, 2013, Pages 511-518

  Schindera, Sebastian T ^a,b   Odedra, Devang ^a   Raza, Syed Arsalan ^a   Frcr, Tae Kyoung Kim ^a   Jang, Hyun Jung ^a   Szucs Farkas, Zsolt ^c   Rogalla, Patrik ^a  

^a UNIVERSITY HEALTH NETWORK   (Canada)

^b UNIVERSITY HOSPITAL BASEL   (Switzerland)

^c Hospital Center Biel   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CLINICAL PROTOCOL; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTRAST TO NOISE RATIO; CONTROLLED STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; HEPATOGRAPHY; HUMAN; IMAGE DISPLAY; IMAGE QUALITY; IMAGE RECONSTRUCTION; LIVER TUMOR; LOW ENERGY RADIATION; NOISE MEASUREMENT; NOISE REDUCTION; PHANTOM; PRIORITY JOURNAL; RADIATION ATTENUATION; RADIATION DOSE REDUCTION; RADIOLOGICAL PARAMETERS; RADIOLOGIST; RADIOSENSITIVITY; SENSITIVITY ANALYSIS; SIMULATION; TUMOR MODEL; TUMOR VOLUME;

ALGORITHMS; EQUIPMENT DESIGN; HUMANS; LIVER NEOPLASMS; PHANTOMS, IMAGING; RADIATION DOSAGE; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84886653029     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.13122349     Document Type: Article

References (18)

1. Marin D, Nelson RC, Schindera ST, et al. Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm-initial clinical experience. Radiology 2010;254(1):145-153.
2. 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(3):764-771.
3. Singh S, Kalra MK, Gilman MD, et al. Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study. Radiology 2011;259(2):565-573.
4. Schindera ST, Torrente JC, Ruder TD, et al. Decreased detection of hypovascular liver tumors with MDCT in obese patients: a phantom study. AJR Am J Roentgenol 2011;196(6):W772-W776.
5. Funama Y, Awai K, Miyazaki O, et al. Improvement of low-contrast detectability in low-dose hepatic multidetector computed tomography using a novel adaptive filter: evaluintraation with a computer-simulated liver including tumors. Invest Radiol 2006;41(1):1-7. (Pubitemid 44378272)
6. Baker ME, Dong F, Primak A, et al. Contrastto-noise ratio and low-contrast object resolution on full- and low-dose MDCT: SAFIRE versus filtered back projection in a low-contrast object phantom and in the liver. AJR Am J Roentgenol 2012;199(1):8-18.
7. Pickhardt PJ, Lubner MG, Kim DH, et al. Abdominal CT with model-based iterative reconstruction (MBIR): initial results of a prospective trial comparing ultralow-dose with standard-dose imaging. AJR Am J Roentgenol 2012;199(6):1266-1274.
8. Yamamura J, Tornquist K, Buchert R, et al. Simulated low-dose computed tomography in oncological patients: a feasibility study. J Comput Assist Tomogr 2010;34(2):302-308.
9. Menke J. Comparison of different body size parameters for individual dose adaptation in body CT of adults. Radiology 2005;236(2):565-571. (Pubitemid 41023441)
10. Ohno Y, Takenaka D, Kanda T, et al. Adaptive iterative dose reduction using 3D processing for reduced- and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological findings. AJR Am J Roentgenol 2012;199(4):W477-W485.
11. Gervaise A, Osemont B, Lecocq S, et al. CT image quality improvement using Adaptive Iterative Dose Reduction with wide-volume acquisition on 320-detector CT. Eur Radiol 2012;22(2):295-301.
12. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33(1):159-174. (Pubitemid 8054849)
13. Sardanelli F, Hunink MG, Gilbert FJ, Di Leo G, Krestin GP. Evidence-based radiology: why and how? Eur Radiol 2010;20(1):1-15.
14. Fryback DG, Thornbury JR. The efficacy of diagnostic imaging. Med Decis Making 1991;11(2):88-94.
15. Miéville FA, Gudinchet F, Brunelle F, Bochud FO, Verdun FR. Iterative reconstruction methods in two different MDCT scanners: physical metrics and 4-alternative forced-choice detectability experiments-a phantom approach. Phys Med 2013;29(1):99-110.
16. Hernandez-Giron I, Geleijns J, Calzado A, Veldkamp WJ. Automated assessment of low contrast sensitivity for CT systems using a model observer. Med Phys 2011;38(Suppl 1):S25.
17. Abbey CK, Hoeschen C, Kyprianou IS. Evaluating Image Quality Performance in CT. Joint Workshop at SPIE Medical Imaging, San Diego, USA, February 4-9, 2012.
18. Schindera ST, Diedrichsen L, Müller HC, et al. Iterative reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of diagnostic accuracy, image quality, and radiation dose in a phantom study. Radiology 2011;260(2):454-462.