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Development of functional chest imaging with a dynamic flat-panel detector (FPD)

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Abstract

Dynamic FPD permits the acquisition of distortion-free radiographs with a large field of view and high image quality. In the present study, we investigated the feasibility of functional imaging for evaluating the pulmonary sequential blood distribution with an FPD, based on changes in pixel values during cardiac pumping. Dynamic chest radiographs of seven normal subjects were obtained in the expiratory phase by use of an FPD system. We measured the average pixel value in each region of interest that was located manually in the heart and lung areas. Subsequently, inter-frame differences and differences from a minimum-intensity projection image, which was created from one cardiac cycle, were calculated. These difference values were then superimposed on dynamic chest radiographs in the form of a color display, and sequential blood distribution images and a blood distribution map were created. The results were compared to typical data on normal cardiac physiology. The clinical effectiveness of our method was evaluated in a patient who had abnormal pulmonary blood flow. In normal cases, there was a strong correlation between the cardiac cycle and changes in pixel value. Sequential blood distribution images showed a normal pattern at determined by the physiology of pulmonary blood flow, with a symmetric distribution and no blood flow defects throughout the entire lung region. These findings indicated that pulmonary blood flow was reflected on dynamic chest radiographs. In an abnormal case, a defect in blood flow was shown as defective in color in a blood distribution map. The present method has the potential for evaluation of local blood flow as an optional application in general chest radiography.

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References

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

  2. Felson B. Chest roentgenology. Philadelphia: W B Saunders; 1973.

  3. Goodman LR. Felson’s principles of chest roentgenology. A programmed text, 3rd ed. Philadelphia: W B Saunders; 2006.

  4. Squire LF, Novelline RA. Fundamentals of radiology, 4th ed. Cambridge: Harvard University Press; 1988.

  5. Turner AF, Lau FY, Jacobson G. A method for the estimation of pulmonary venous and arterial pressures from the routine chest roentgenogram. Am J Roentgenol Radium Ther Nucl Med. 1972;116:97–106.

    Article  CAS  PubMed  Google Scholar 

  6. Chang CH. The normal roentgenographic measurement of the right descending pulmonary artery in 1,085 cases. Am J Roentgenol Radium Ther Nucl Med. 1962;87:929–35.

    CAS  PubMed  Google Scholar 

  7. Pistolesi M, Milne EN, Miniati M, Giuntini C. The vascular pedicle of the heart, the vena azygos. Part II: acquired heart disease. Radiology. 1984;152:9–17.

    Article  CAS  PubMed  Google Scholar 

  8. Silverman NR. Clinical video-densitometry. Pulmonary ventilation analysis. Radiology. 1972;103:263–5.

    Article  CAS  PubMed  Google Scholar 

  9. Silverman NR, Intaglietta M, Simon AL, Tompkins WR. Determination of pulmonary pulsatile perfusion by fluoroscopic videodensitometry. J Appl Physiol. 1972;33:147–9.

    CAS  PubMed  Google Scholar 

  10. Silverman NR, Intaglietta M, Tompkins WR. Pulmonary ventilation and perfusion during graded pulmonary arterial occlusion. J Appl Physiol. 1973;34:726–31.

    CAS  PubMed  Google Scholar 

  11. Bursch JH. Densitometric studies in digital subtraction angiography: assessment of pulmonary and myocardial perfusion. Herz. 1985;10:208–14.

    CAS  PubMed  Google Scholar 

  12. Fujita H, Doi K, MacMahon H, Kume Y, Giger ML, Hoffmann KR, et al. Basic imaging properties of a large image intensifier-TV digital chest radiographic system. Invest Radiol. 1987;22:328–35.

    Article  CAS  PubMed  Google Scholar 

  13. Groell R, Peichel KH, Uggowitzer MM, Schmid F, Hartwagner K. Computed tomography densitometry of the lung: a method to assess perfusion defects in acute pulmonary embolism. Eur J Radiol. 1999;32:192–6.

    Article  CAS  PubMed  Google Scholar 

  14. Herzog P, Wildberger JE, Niethammer M, Schaller S, Schoepf UJ. CT perfusion imaging of the lung in pulmonary embolism. Acad Radiol. 2003;10:1132–46.

    Article  PubMed  Google Scholar 

  15. Wildberger JE, Schoepf UJ, Mahnken AH, Herzog P, Ditt H, Niethammer MU, et al. Approaches to CT perfusion imaging in pulmonary embolism. Semin Roentgenol. 2005;40:64–73.

    Article  PubMed  Google Scholar 

  16. Easley RB, Fuld MK, Fernandez-Bustamante A, Hoffman EA, Simon BA. Mechanism of hypoxemia in acute lung injury evaluated by multidetector-row CT. Acad Radiol. 2006;13:916–21.

    Article  PubMed  Google Scholar 

  17. Carr JC, Laub G, Zheng J, Pereles FS, Finn JP. Time-resolved three-dimensional pulmonary MR angiography and perfusion imaging with ultrashort repetition time. Acad Radiol. 2002;9:1407–18.

    Article  PubMed  Google Scholar 

  18. Gee J, Sundaram T, Hasegawa I, Uematsu H, Hatabu H. Characterization of regional pulmonary mechanics from serial magnetic resonance imaging data. Acad Radiol. 2003;10:1147–52.

    Article  PubMed  Google Scholar 

  19. Hong C, Leawoods JC, Yablonskiy DA, Leyendecker JR, Bae KT, Pilgram TK, et al. Feasibility of combining MR perfusion, angiography, and 3He ventilation imaging for evaluation of lung function in a porcine model. Acad Radiol. 2005;12:202–9.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Molinari F, Fink C, Risse F, Tuengerthal S, Bonomo L, Kauczor HU. Assessment of differential pulmonary blood flow using perfusion magnetic resonance imaging: comparison with radionuclide perfusion scintigraphy. Invest Radiol. 2006;41:624–30.

    Article  PubMed  Google Scholar 

  21. Bolar DS, Levin DL, Hopkins SR, Frank LF, Liu TT, Wong EC, et al. Quantification of regional pulmonary blood flow using ASL-FAIRER. Magn Reson Med. 2006;55:1308–17.

    Article  CAS  PubMed  Google Scholar 

  22. Tanaka R, Sanada S, Kobayashi T, Suzuki M, Matsui T, Matsui O. Computerized methods for determining respiratory phase on dynamic chest radiographs obtained by a dynamic flat-panel detector (FPD) system. J Digit Imaging. 2006;19:41–51.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Tanaka R, Sanada S, Suzuki M, Kobayashi T, Matsui T, Inoue H, et al. Breathing chest radiography using a dynamic flat-panel detector combined with computer analysis. Med Phys. 2004;31:2254–62.

    Article  PubMed  Google Scholar 

  24. Tanaka R, Sanada S, Okazaki N, Kobayashi T, Suzuki M, Matsui T, et al. Detectability of regional lung ventilation with flat-panel detector-based dynamic radiography. J Digit Imaging. 2008;21:109–20.

    Article  PubMed  Google Scholar 

  25. Tanaka R, Sanada S, Okazaki N, Kobayashi T, Fujimura M, Yasui M, et al. Evaluation of pulmonary function using breathing chest radiography with a dynamic flat panel detector: primary results in pulmonary diseases. Invest Radiol. 2006;41:735–45.

    Article  PubMed  Google Scholar 

  26. Hansen JT, Koeppen BM. Cardiovascular physiology, In: Netter’s atlas of human physiology (Netter basic science). Teterboro: Icon Learning Systems; 2002.

  27. Rees D. Essential statistics, 4th ed. (Text in statistical science) Florida: Chapman & Hall; 2001.

  28. Xu XW, Doi K. Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs. Med Phys. 1995;22:617–26.

    Article  CAS  PubMed  Google Scholar 

  29. Li L, Zheng Y, Kallergi M, Clark RA. Improved method for automatic identification of lung regions on chest radiographs. Acad Radiol. 2001;8:629–38.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

The authors are grateful to the volunteers and to Yasuhiro Yamauchi at Fukuda Denshi Co., and the technologists of the Dept. of Radiology, Kanazawa University Hospital, who assisted with data acquisition. We thank Kunio Doi, Ph.D. and researchers at the University of Chicago for valuable discussions regarding image analysis. The present study won 1st prize as a poster presentation in Computer-assisted Radiology and Surgery (CARS) 2006. The authors thank the editors and reviewers who spent a great deal of time and gave us informative advice for improving our manuscript. This work was supported in part by the Nakajima Foundation, Konica Minolta Imaging Science Foundation, and a Grant-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science, and Technology.

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Correspondence to Rie Tanaka.

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Tanaka, R., Sanada, S., Fujimura, M. et al. Development of functional chest imaging with a dynamic flat-panel detector (FPD). Radiol Phys Technol 1, 137–143 (2008). https://doi.org/10.1007/s12194-008-0020-7

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  • DOI: https://doi.org/10.1007/s12194-008-0020-7

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