Informatics in radiology: Sliding-thin-slab averaging for improved depiction of low-contrast lesions with radiation dose savings at thin-section CT

Radiographics

Volumn 30, Issue 2, 2010, Pages 317-326

  von Falck, Christian ^a   Galanski, Michael ^a   Shin, Hoen Oh ^a  

^a HANNOVER MEDICAL SCHOOL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EVALUATION; HUMAN; IMAGE QUALITY; METHODOLOGY; RADIATION DOSE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; RADIATION DOSAGE; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77950149646     PISSN: 02715333     EISSN: 15271323     Source Type: Journal    
DOI: 10.1148/rg.302096007     Document Type: Article

References (32)

1. Rubin GD. 3-D imaging with MDCT. Eur J Radiol 2003;45(suppl 1):S37-S41.
2. Dalrymple NC, Prasad SR, Freckleton MW, Chintapalli KN. Introduction to the language of three-dimensional imaging with multidetector CT. RadioGraphics 2005;25(5):1409-1428.
3. Rydberg J, Sandrasegaran K, Tarver RD, Frank MS, Conces DJ, Choplin RH. Routine isotropic computed tomography scanning of chest: value of coronal and sagittal reformations. Invest Radiol 2007;42(1): 23-28.
4. Sandrasegaran K, Rydberg J, Lall CG, Hameed T, Hawes DR, Kopecky KK. Routine isotropic computed tomography scanning of the abdomen and pelvis. Australas Radiol 2006;50(2):93-101.
5. Das M, Mühlenbruch G, Katoh M, et al. Automated volumetry of solid pulmonary nodules in a phantom: accuracy across different CT scanner technologies. Invest Radiol 2007;42(5):297-302.
6. Abdelmoumene A, Chevallier P, Chalaron M, et al. Detection of liver metastases under 2 cm: comparison of different acquisition protocols in four row multidetector-CT (MDCT). Eur Radiol 2005;15 (9):1881-1887.
7. Kawata S, Murakami T, Kim T, et al. Multidetector CT: diagnostic impact of slice thickness on detection of hypervascular hepatocellular carcinoma. AJR Am J Roentgenol 2002;179(1):61-66.
8. Prokop M. Multislice CT: technical principles and future trends. Eur Radiol 2003;13(suppl 5): M3-M13.
9. Buzug TM. Image quality and artefacts. In: From photon statistics to modern cone-beam CT. Heidelberg, Germany: Springer, 2008; 403-484.
10. Shin HO, Falck CV, Galanski M. Low-contrast detectability in volume rendering: a phantom study on multidetector-row spiral CT data. Eur Radiol 2004; 14(2):341-349.
11. von Falck C, Hartung A, Berndzen F, King B, Galanski M, Shin HO. Optimization of low-contrast detectability in thin-collimated modern multidetector CT using an interactive sliding-thin-slab averaging algorithm. Invest Radiol 2008;43(4):229-235.
12. Brooks RA, Di Chiro G. Statistical limitations in x-ray reconstructive tomography. Med Phys 1976;3 (4):237-240.
13. Boedeker KL, Cooper VN, McNitt-Gray MF. 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.
14. Boedeker KL, McNitt-Gray MF. Application of the noise power spectrum in modern diagnostic MDCT: part II. Noise power spectra and signal to noise. Phys Med Biol 2007;52(14):4047-4061.
15. ASTM International. Standard test method for measurement of computed tomography (CT) system performance. http://www.astm.org/Standards/E1695.htm. Accessed March 2, 2008.
16. Chao EH, Toth TL, Bromberg NB, et al. A statistical method of defining low contrast detectability [abstr]. Radiology 2000;217(P):162.
17. Eckert MP, Bradley AP. Perceptual quality metrics applied to still image compression. Signal Process 1998;70:177-200.
18. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 2004;13 (4):600-612.
19. Dalrymple NC, Prasad SR, El-Merhi FM, Chintapalli KN. Price of isotropy in multidetector CT. RadioGraphics 2007;27(1):49-62.
20. Nagel HD. Radiation exposure in computed tomography: fundamentals, influencing parameters, dose assessment optimization. 4th ed. Hamburg, Germany: CTB Publications, 2002.
21. Husstedt H, Prokop M, Becker H. Window width as a dosage-relevant factor in high-contrast structures in CT [in German]. Rofo 1998;168(2):139-143.
22. Goldman LW. Principles of CT: radiation dose and image quality. J Nucl Med Technol 2007;35(4):213-225.
23. Mayo-Smith WW, Gupta H, Ridlen MS, Brody JM, Clements NC, Cronan JJ. Detecting hepatic lesions: the added utility of CT liver window settings. Radiology 1999;210(3):601-604.
24. Pomerantz SM, White CS, Krebs TL, et al. Liver and bone window settings for soft-copy interpretation of chest and abdominal CT. AJR Am J Roentgenol 2000;174(2):311-314.
25. Hilts M, Duzenli C. Image filtering for improved dose resolution in CT polymer gel dosimetry. Med Phys 2004;31(1):39-49.
26. van der Molen AJ, Geleijns J. Overranging in multisection CT: quantification and relative contribution to dose-comparison of four 16-section CT scanners. Radiology 2007;242(1):208-216.
27. Theocharopoulos N, Damilakis J, Perisinakis K, Gourtsoyiannis N. Energy imparted-based estimates of the effect of z overscanning on adult and pediatric patient effective doses from multi-slice computed tomography. Med Phys 2007;34(4):1139-1152.
28. Turlington JZ, Higgins WE. New techniques for efficient sliding thin-slab volume visualization. IEEE Trans Med Imaging 2001;20(8):823-835.
29. Napel S, Rubin GD, Jeffrey RB Jr. STS-MIP: a new reconstruction technique for CT of the chest. J Comput Assist Tomogr 1993;17(5):832-838.
30. Remy-Jardin M, Remy J, Gosselin B, Copin MC, Wurtz A, Duhamel A. Sliding thin slab, minimum intensity projection technique in the diagnosis of emphysema: histopathologic-CT correlation. Radiology 1996;200(3):665-671.
31. Lee KH, Kim YH, Hahn S, et al. Computed tomography diagnosis of acute appendicitis: advantages of reviewing thin-section datasets using sliding slab average intensity projection technique. Invest Radiol 2006;41(7):579-585.
32. Lee KH, Hong H, Hahn S, Kim B, Kim KJ, Kim YH. Summation or axial slab average intensity projection of abdominal thin-section CT datasets: can they substitute for the primary reconstruction from raw projection data? J Digit Imaging 2008;21(4): 422-432.