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Development of Pulmonary Blood Flow Evaluation Method with a Dynamic Flat-panel Detector: Quantitative Correlation Analysis with Findings on Perfusion Scan

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Date 2010 Sep 8
PMID 20821100
Citations 6
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Abstract

Pulmonary blood flow is reflected in dynamic chest radiographs as changes in X-ray translucency, i.e., pixel values. Thus, decreased blood flow should be observed as a reduction of the variation of X-ray translucency. We performed the present study to investigate the feasibility of pulmonary blood flow evaluation with a dynamic flat-panel detector (FPD). Sequential chest radiographs of 14 subjects were obtained with a dynamic FPD system. The changes in pixel value in each local area were measured and mapped on the original image by use of a gray scale in which small and large changes were shown in white and black, respectively. The resulting images were compared to the findings in perfusion scans. The cross-correlation coefficients of the changes in pixel value and radioactivity counts in each local area were also computed. In all patients, pulmonary blood flow disorder was indicated as a reduction of changes in pixel values on the mapping image, and a correlation was observed between the distribution of changes in pixel value and those in radioactivity counts (0.7 <or= r, 3 cases; 0.4 <or= r < 0.7, 7 cases; 0.2 <or= r < 0.4, 4 cases). The results indicated that the distribution of changes in pixel value could provide a relative measure related to pulmonary blood flow. The present method is potentially useful for evaluating pulmonary blood flow as an additional examination in conventional chest radiography.

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References
1.
Xu X, Doi K . Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs. Med Phys. 1995; 22(5):617-26. DOI: 10.1118/1.597549. View

2.
Tanaka R, Sanada S, Fujimura M, Yasui M, Tsuji S, Hayashi N . Pulmonary blood flow evaluation using a dynamic flat-panel detector: feasibility study with pulmonary diseases. Int J Comput Assist Radiol Surg. 2009; 4(5):449-55. DOI: 10.1007/s11548-009-0364-4. View

3.
Bursch J . Densitometric studies in digital subtraction angiography: assessment of pulmonary and myocardial perfusion. Herz. 1985; 10(4):208-14. View

4.
Silverman N . Clinical video-densitometry. Pulmonary ventilation analysis. Radiology. 1972; 103(2):263-5. DOI: 10.1148/103.2.263. View

5.
Fujita H, Doi K, Macmahon H, Kume Y, Giger M, Hoffmann K . Basic imaging properties of a large image intensifier-TV digital chest radiographic system. Invest Radiol. 1987; 22(4):328-35. DOI: 10.1097/00004424-198704000-00009. View