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Pulmonary blood flow evaluation using a dynamic flat-panel detector: feasibility study with pulmonary diseases

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Pulmonary ventilation and circulation dynamics are reflected on fluoroscopic images as changes in X-ray translucency. The purpose of this study was to investigate the feasibility of non-contrast functional imaging using a dynamic flat-panel detector (FPD).

Methods

Dynamic chest radiographs of 20 subjects (abnormal, n = 12; normal, n = 8) were obtained using the FPD system. Image analysis was performed to get qualitative perfusion mapping image; first, focal pixel value was defined. Second, lung area was determined and pulmonary hilar areas were eliminated. Third, one cardiac cycle was determined in each of the cases. Finally, total changes in pixel values during one cardiac cycle were calculated and their distributions were visualized with mapping on the original image. They were compared with the findings of lung perfusion scintigraphy.

Results

In all normal controls, the total changes in pixel value in one cardiac cycle decreased from the hilar region to the peripheral region of the lung with left–right symmetric distribution. In contrast, in many abnormal cases, pulmonary blood flow disorder was indicated as a reduction of changes in pixel values on a mapping image. The findings of mapping image coincided with those of lung perfusion scintigraphy.

Conclusions

Dynamic chest radiography using an FPD system with computer analysis is expected to be a new type of functional imaging, which provides pulmonary blood flow distribution additionally.

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References

  1. Heyneman LE (2005) The chest radiograph: reflections on cardiac physiology. Radiological Society of North America, Scientific Assembly and Annual Meeting Program 2005, p 145

  2. Felson B (1973) Chest roentgenology. Saunders, Philadelphia

    Google Scholar 

  3. Goodman LR (2006) Felson’s principles of chest roentgenology. A programmed text, 3rd edn. Saunders, Philadelphia

  4. Squire LF, Novelline RA (1972) Fundamentals of radiology, 4th edn. Harvard University Press, Cambridge

    Google Scholar 

  5. Silverman NR (1972) Clinical video-densitometry. Pulmonary ventilation analysis. Radiology 103: 263–265

    PubMed  CAS  Google Scholar 

  6. Silverman NR, Intaglietta M, Simon AL et al (1972) Determination of pulmonary pulsatile perfusion by fluoroscopic videodensitometry. J Appl Physiol 33: 147–149

    PubMed  CAS  Google Scholar 

  7. Silverman NR, Intaglietta M, Tompkins WR (1973) Pulmonary ventilation and perfusion during graded pulmonary arterial occlusion. J Appl Physiol 34: 726–731

    PubMed  CAS  Google Scholar 

  8. Bursch JH (1985) Densitometric studies in digital subtraction angiography: assessment of pulmonary and myocardial perfusion. Herz 10: 208–214

    PubMed  CAS  Google Scholar 

  9. Liang J, Jarvi T, Kiuru A et al (2003) Dynamic chest image analysis: model-based perfusion analysis in dynamic pulmonary imaging. J Appl Signal Process 5: 437–448. doi:10.1155/S1110865703212117

    Article  Google Scholar 

  10. Fujita H, Doi K, MacMahon H et al (1987) Basic imaging properties of a large image intensifier-TV digital chest radiographic system. Invest Radiol 22: 328–335. doi:10.1097/00004424-198704000-00009

    Article  PubMed  CAS  Google Scholar 

  11. Groell R, Peichel KH, Uggowitzer MM et al (1999) Computed tomography densitometry of the lung: a method to assess perfusion defects in acute pulmonary embolism. Eur J Radiol 32: 192–196. doi:10.1016/S0720-048X(99)00032-7

    Article  PubMed  CAS  Google Scholar 

  12. Herzog P, Wildberger JE, Niethammer M et al (2003) CT perfusion imaging of the lung in pulmonary embolism. Acad Radiol 10: 1132–1146. doi:10.1016/S1076-6332(03)00334-9

    Article  PubMed  Google Scholar 

  13. Wildberger JE, Schoepf UJ, Mahnken AH et al (2005) Approaches to CT perfusion imaging in pulmonary embolism. Semin Roentgenol 40: 64–73. doi:10.1053/j.ro.2004.09.006

    Article  PubMed  Google Scholar 

  14. Easley RB, Fuld MK, Fernandez-Bustamante A et al (2006) Mechanism of hypoxemia in acute lung injury evaluated by multidetector-row CT. Acad Radiol 13: 916–921. doi:10.1016/j.acra.2006.02.055

    Article  PubMed  Google Scholar 

  15. Carr JC, Laub G, Zheng J et al (2002) Time-resolved three-dimensional pulmonary MR angiography and perfusion imaging with ultrashort repetition time. Acad Radiol 9: 1407–1418. doi:10.1016/S1076-6332(03)80668-2

    Article  PubMed  Google Scholar 

  16. Gee J, Sundaram T, Hasegawa I et al (2003) Characterization of regional pulmonary mechanics from serial magnetic resonance imaging data. Acad Radiol 10: 1147–1152. doi:10.1016/S1076-6332(03)00329-5

    Article  PubMed  Google Scholar 

  17. Hong C, Leawoods JC, Yablonskiy DA et al (2005) Feasibility of combining MR perfusion, angiography, and 3He ventilation imaging for evaluation of lung function in a porcine model. Acad Radiol 12: 202–209. doi:10.1016/j.acra.2004.11.021

    Article  PubMed  Google Scholar 

  18. Molinari F, Fink C, Risse F et al (2006) Assessment of differential pulmonary blood flow using perfusion magnetic resonance imaging: comparison with radionuclide perfusion scintigraphy. Invest Radiol 41: 624–630. doi:10.1097/01.rli.0000225399.65609.45

    Article  PubMed  Google Scholar 

  19. Bolar DS, Levin DL, Hopkins SR et al (2006) Quantification of regional pulmonary blood flow using ASL-FAIRER. Magn Reson Med 55: 1308–1317. doi:10.1002/mrm.20891

    Article  PubMed  CAS  Google Scholar 

  20. Tanaka R, Sanada S, Kobayashi T et al (2006) Computerized methods for determining respiratory phase on dynamic chest radiographs obtained by a dynamic flat-panel detector (FPD) system. J Digit Imaging 19: 41–51. doi:10.1007/s10278-004-1045-z

    Article  PubMed  Google Scholar 

  21. Tanaka R, Sanada S, Suzuki M et al (2004) Breathing chest radiography using a dynamic flat-panel detector combined with computer analysis. Med Phys 31: 2254–2262. doi:10.1118/1.1769351

    Article  PubMed  Google Scholar 

  22. Tanaka R, Sanada S, Okazaki N et al (2008) Detectability of regional lung ventilation with flat-panel detector-based dynamic radiography. J Digit Imaging 21: 109–120. doi:10.1007/s10278-007-9017-8

    Article  PubMed  Google Scholar 

  23. Tanaka R, Sanada S, Okazaki N et al (2006) Evaluation of pulmonary function using breathing chest radiography with a dynamic flat panel detector: primary results in pulmonary diseases. Invest Radiol 41: 735–745. doi:10.1097/01.rli.0000236904.79265.68

    Article  PubMed  Google Scholar 

  24. Tanaka R, Sanada S, Okazaki N et al (2008) Development of functional chest imaging with a dynamic flat-panel detector (FPD). Radiol Phys Technol 1: 137–143

    Article  Google Scholar 

  25. International basic safety standards for protection against ionizing radiation and for the safety of radiation sources (1996) International atomic energy agency (IAEA), Vienna

  26. Xu XW, Doi K (1995) Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs. Med Phys 22: 617–626. doi:10.1118/1.597549

    Article  PubMed  CAS  Google Scholar 

  27. Li L, Zheng Y, Kallergi M et al (2001) Improved method for automatic identification of lung regions on chest radiographs. Acad Radiol 8: 629–638. doi:10.1016/S1076-6332(03)80688-8

    Article  PubMed  CAS  Google Scholar 

  28. Myers PH, Nice CM, Becker HC et al (1964) Automated computer analysis of radiographic images. Radiology 83: 1029–1033

    Google Scholar 

  29. Hansen JT, Koeppen BM (2002) Cardiovascular physiology. In: Netter’s Atlas of human physiology (Netter Basic Science). Teterboro, New Jersey

  30. Rees D (2002) Essential statistics, 4th edn. (Text in statistical science). Chapman & Hall, Florida

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Authors and Affiliations

  1. Division of Health Sciences, Department of Radiological Technology, Kanazawa University Graduate School of Medical Science, 5-11-80 Kodatsuno, Kanazawa, 920-0942, Japan

    Rie Tanaka, Shigeru Sanada & Shiro Tsuji

  2. Department of Cellular Transplantation Biology, Respiratory Tract Medicine, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan

    Masaki Fujimura & Masahide Yasui

  3. Department of Radiology, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, 920-8641, Japan

    Norio Hayashi

  4. Department of Clinical Laboratory, Kanazawa University Hospital, 13-1 Takara-machi, Kanazawa, 920-8641, Japan

    Yuko Nanbu

  5. Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8640, Japan

    Osamu Matsui

Authors
  1. Rie Tanaka
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  2. Shigeru Sanada
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  3. Masaki Fujimura
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  4. Masahide Yasui
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  5. Shiro Tsuji
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  6. Norio Hayashi
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  7. Yuko Nanbu
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  8. Osamu Matsui
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Corresponding author

Correspondence to Rie Tanaka.

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Tanaka, R., Sanada, S., Fujimura, M. et al. Pulmonary blood flow evaluation using a dynamic flat-panel detector: feasibility study with pulmonary diseases. Int J CARS 4, 449–455 (2009). https://doi.org/10.1007/s11548-009-0364-4

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  • DOI: https://doi.org/10.1007/s11548-009-0364-4

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