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Iterative reconstruction in image space (IRIS) in cardiac computed tomography: initial experience

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Abstract

Improvements in image quality in cardiac computed tomography may be achieved through iterative image reconstruction techniques. We evaluated the ability of “Iterative Reconstruction in Image Space” (IRIS) reconstruction to reduce image noise and improve subjective image quality. 55 consecutive patients undergoing coronary CT angiography to rule out coronary artery stenosis were included. A dual source CT system and standard protocols were used. Images were reconstructed using standard filtered back projection and IRIS. Image noise, attenuation within the coronary arteries, contrast, signal to noise and contrast to noise parameters as well as subjective classification of image quality (using a scale with four categories) were evaluated and compared between the two image reconstruction protocols. Subjective image quality (2.8 ± 0.4 in filtered back projection and 2.8 ± 0.4 in iterative reconstruction) and the number of “evaluable” segments per patient 14.0 ± 1.2 in filtered back projection and 14.1 ± 1.1 in iterative reconstruction) were not significant different between the two methods. However iterative reconstruction had a lower image noise (22.6 ± 4.5 HU vs. 28.6 ± 5.1 HU) and higher signal to noise and image to noise ratios in the proximal coronary arteries. IRIS reduces image noise and contrast-to-noise ratio in coronary CT angiography, thus providing potential for reducing radiation exposure.

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References

  1. (2007) CT market summary report. IMV Medical Information Division, Des Plaines

  2. Kalra MK, Maher MM, Toth TL, Hamberg LM, Blake MA, Shepard JA, Saini S (2004) Strategies for CT radiation dose optimization. Radiology 230:619–628

    Article  PubMed  Google Scholar 

  3. Linton OW, Mettler FA Jr (2003) National conference on dose reduction in CT with an emphasis on pediatric patients. AJR 181:321–329

    PubMed  Google Scholar 

  4. Brenner DJ, Hall EJ (2007) Computed tomography: an increasing source of radiation exposure. N Engl J Med 357:2277–2284

    Article  PubMed  CAS  Google Scholar 

  5. Hausleiter J, Meyer T, Hermann F, Hadamitzky M, Krebs M, Gerber TC, McCollough C, Martinoff S, Kastrati A, Schömig A, Achenbach S (2009) Estimated radiation dose associated with cardiac CT angiography. JAMA 301(5):500–507

    Article  PubMed  CAS  Google Scholar 

  6. Gerber TC, Kantor B, McCollough CH (2009) Radiation dose and safety in cardiac computed tomography. Cardiol Clin 27(4):665–677

    Article  PubMed  Google Scholar 

  7. Knesaurek K, Machac J, Vallabhajosula S, Buchsbaum MS (1996) A new iterative reconstruction technique for attenuation correction in high-resolution positron emission tomography. Eur J Nucl Med 23(6):656–661

    Article  PubMed  CAS  Google Scholar 

  8. Liow JS, Strother SC, Rehm K, Rottenberg DA (1997) Improved resolution for PET volume imaging through three-dimensional iterative reconstruction. J Nucl Med 38(10):1623–1631

    PubMed  CAS  Google Scholar 

  9. Wang G, Yu H, De Man B (2008) An outlook on X-ray CT research and development. Med Phys 35:1051–1064

    Article  PubMed  Google Scholar 

  10. Thibault JB, Sauer KD, Bouman CA, Hsieh J (2007) A three-dimensional statistical approach to improved image quality for multislice helical CT. Med Phys 34:4526–4544

    Article  PubMed  Google Scholar 

  11. Leipsic J, Labounty TM, Heilbron B, Min JK, Mancini GB, Lin FY, Taylor C, Dunning A, Earls JP (2010) Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. AJR Am J Roentgenol 195(3):649–654

    Article  PubMed  Google Scholar 

  12. Lell M, Hinkmann F, Anders K, Deak P, Kalender WA, Uder M, Achenbach S (2009) High-pitch electrocardiogram-triggered computed tomography of the chest: initial results. Invest Radiol 44(11):728–733

    Article  PubMed  Google Scholar 

  13. Stolzmann P, Scheffel H, Schertler T, Frauenfelder T, Leschka S, Husmann L, Flohr TG, Marincek B, Kaufmann PA, Alkadhi H (2008) Radiation dose estimates in dual-source computed tomography coronary angiography. Eur Radiol 18:592–599

    Article  PubMed  Google Scholar 

  14. Achenbach S, Giesler T, Ropers D, Ulzheimer S, Anders K, Wenkel E, Pohle K, Kachelriess M, Derlien H, Kalender WA, Daniel WG, Bautz W, Baum U (2003) Comparison of image quality in contrast-enhanced coronary-artery visualization by electron-beam tomography and retrospectively electrocardiogram-gated multislice spiral computed tomography. Invest Radiol 38:119–128

    Article  PubMed  Google Scholar 

  15. Shuman WP, Branch KR, May JM, Mitsumori LM, Lockhart DW, Dubinsky TJ, Warren BH, Caldwell JH (2008) Prospective versus retrospective ECG gating for 64-detector CT of the coronary arteries: comparison of image quality and patient radiation dose. Radiology 248(2):431–437

    Article  PubMed  Google Scholar 

  16. Achenbach S, Marwan M, Ropers D, Schepis T, Pflederer T, Anders K, Kuettner A, Daniel WG, Uder M, Lell MM (2010) Coronary computed tomography angiography with a consistent dose below 1 mSv using prospectively electrocardiogram-triggered high-pitch spiral acquisition. Eur Heart J 31(3):340–346

    Article  PubMed  Google Scholar 

  17. Hara AK, Paden RG, Silva AC (2009) Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study. Am J Radiol 193:764–771

    Google Scholar 

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Acknowledgment

Prof. Stephan Achenbach is supported by BMBF, Project “Cutting Edge Clusted Medical Technology, BD2a”.

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Authors and Affiliations

  1. Internal Medicine Division, University Hospital, University of São Paulo Medical School, Av. Lineu Prestes, 2565, Butanta, Sao Paulo, 05508-000, Brazil

    Márcio Sommer Bittencourt

  2. Siemens Healthcare Sector, Forchheim, Germany

    Bernhard Schmidt

  3. Department of Internal Medicine 2, University of Erlangen-Nürnberg, Erlangen-Nürnberg, Germany

    Martin Seltmann, Gerd Muschiol, Dieter Ropers, Werner Günther Daniel & Stephan Achenbach

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  1. Márcio Sommer Bittencourt
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  2. Bernhard Schmidt
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  3. Martin Seltmann
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  4. Gerd Muschiol
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  5. Dieter Ropers
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  6. Werner Günther Daniel
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  7. Stephan Achenbach
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Correspondence to Márcio Sommer Bittencourt.

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Bittencourt, M.S., Schmidt, B., Seltmann, M. et al. Iterative reconstruction in image space (IRIS) in cardiac computed tomography: initial experience. Int J Cardiovasc Imaging 27, 1081–1087 (2011). https://doi.org/10.1007/s10554-010-9756-3

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  • DOI: https://doi.org/10.1007/s10554-010-9756-3

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