Feasibility of real time dual-energy imaging based on a flat panel detector for coronary artery calcium quantification.

The feasibility of a real-time dual-energy imaging technique with dynamic filtration using a flat panel detector for quantifying coronary arterial calcium was evaluated. In this technique, the x-ray beam was switched at 15 Hz between 60 kVp and 120 kVp with the 120 kVp beam having an additional 0.8 mm silver filter. The performance of the dynamic filtration technique was compared with a static filtration technique (4 mm Al+0.2 mm Cu for both beams). The ability to quantify calcium mass was evaluated using calcified arterial vessel phantoms with 20-230 mg of hydroxylapatite. The vessel phantoms were imaged over a Lucite phantom and then an anthropomorphic chest phantom. The total thickness of Lucite phantom ranges from 13.5-26.5 cm to simulate patient thickness of 16-32 cm. The calcium mass was measured using a densitometric technique. The effective dose to patient was estimated from the measured entrance exposure. The effects of patient thickness on contrast-to-noise ratio (CNR), effective dose, and the precision of calcium mass quantification (i.e., the frame to frame variability) were studied. The effects of misregistration artifacts were also measured by shifting the vessel phantoms manually between low- and high-energy images. The results show that, with the same detector signal level, the dynamic filtration technique produced 70% higher calcium contrast-to-noise ratio with only 4% increase in patient dose as compared to the static filtration technique. At the same time, x-ray tube loading increased by 30% with dynamic filtration. The minimum detectability of calcium with anatomical background was measured to be 34 mg of hydroxyapatite. The precision in calcium mass measurement, determined from 16 repeated dual-energy images, ranges from 13 mg to 41 mg when the patient thickness increased from 16 to 32 cm. The CNR was found to decrease with the patient thickness linearly at a rate of (-7%/cm). The anatomic background produced measurement root-mean-square (RMS) errors of 13 mg and 18 mg when the vessel phantoms were imaged over a uniform (over the rib) and nonuniform (across the edge of rib) bone background, respectively. Misregistration artifacts due to motions of up to 1.0 mm between the low- and high-energy images introduce RMS error of less than 4.3 mg, which is much smaller than the frame to frame variability and the measurement error due to anatomic background. The effective dose ranged from 1.1 to 6.6 microSv for each dual-energy image, depending on patient thickness. The study shows that real-time dual-energy imaging can potentially be used as a low dose technique for quantifying coronary arterial calcium.

[1]  R. Detrano,et al.  Quantification of coronary artery calcium using ultrafast computed tomography. , 1990, Journal of the American College of Cardiology.

[2]  James T. Dobbins,et al.  Recent progress in noise reduction and scatter correction in dual-energy imaging , 1995, Medical Imaging.

[3]  W. Edwards,et al.  Arterial calcification and not lumen stenosis is highly correlated with atherosclerotic plaque burden in humans: a histologic study of 723 coronary artery segments using nondecalcifying methodology. , 1998, Journal of the American College of Cardiology.

[4]  S. Molloi,et al.  Absolute cross-sectional area measurements in quantitative coronary arteriography by dual-energy DSA. , 1991, Investigative radiology.

[5]  Michael S. Van Lysel Optimization of beam parameters for dual-energy digital subtraction angiography. , 1994 .

[6]  Potential value of digital radiography. Preliminary observations on the use of dual-energy subtraction in the evaluation of pulmonary nodules. , 1986, Chest.

[7]  L T Niklason,et al.  Calcification in pulmonary nodules: detection with dual-energy digital radiography. , 1986, Radiology.

[8]  S J Riederer,et al.  Three-beam K-edge imaging of iodine using differences between fluoroscopic video images: theoretical considerations. , 1981, Medical physics.

[9]  C. Mistretta,et al.  Geometric quantitative coronary arteriography. A comparison of unsubtracted and dual energy-subtracted images. , 1991, Investigative radiology.

[10]  J C Le Heron,et al.  Estimation of effective dose to the patient during medical x-ray examinations from measurements of the dose-area product. , 1992 .

[11]  C. Becker,et al.  Reproducibility of coronary calcium quantification in repeat examinations with retrospectively ECG-gated multisection spiral CT , 2002, European Radiology.

[12]  Quantitative dual-energy coronary arteriography. , 1990, Investigative radiology.

[13]  U Neitzel,et al.  Grids or air gaps for scatter reduction in digital radiography: a model calculation. , 1992, Medical physics.

[14]  J. Boone,et al.  An accurate method for computer-generating tungsten anode x-ray spectra from 30 to 140 kV. , 1997, Medical physics.

[15]  J Hicks,et al.  Quantification of volumetric coronary blood flow with dual-energy digital subtraction angiography. , 1996, Circulation.

[16]  R A Kruger Dual-energy electronic scanning-slit fluorography for the determination of vertebral bone mineral content. , 1987, Medical physics.

[17]  L T Niklason,et al.  Simulated pulmonary nodules: detection with dual-energy digital versus conventional radiography. , 1986, Radiology.

[18]  V F Froelicher,et al.  American College of Cardiology/American Heart Association Expert Consensus Document on electron-beam computed tomography for the diagnosis and prognosis of coronary artery disease. , 2000, Journal of the American College of Cardiology.

[19]  James T Dobbins,et al.  Quantitative , 2020, Psychology through Critical Auto-Ethnography.

[20]  Yao-Jin Qian,et al.  A digital filtration technique for scatter-glare correction based on thickness estimation , 1995, IEEE Trans. Medical Imaging.

[21]  Brad H Thompson,et al.  Imaging of coronary calcification by computed tomography , 2004, Journal of magnetic resonance imaging : JMRI.

[22]  C A Mistretta,et al.  A correlated noise reduction algorithm for dual-energy digital subtraction angiography. , 1989, Medical physics.

[23]  S J Riederer,et al.  Three-beam K-edge imaging of iodine using differences between fluoroscopic video images: experimental results. , 1981, Medical physics.

[24]  J. Kisslo,et al.  The diagnostic and prognostic significance of coronary artery calcification. A report of 800 cases. , 1980, Radiology.

[25]  J A Seibert,et al.  Removal of image intensifier veiling glare by mathematical deconvolution techniques. , 1985, Medical physics.

[26]  V. Fuster,et al.  Coronary artery calcification: pathophysiology, epidemiology, imaging methods, and clinical implications. A statement for health professionals from the American Heart Association. Writing Group. , 1996, Circulation.

[27]  R. Detrano,et al.  Quantification of coronary arterial calcium by dual energy digital subtraction fluoroscopy. , 1991, Medical physics.

[28]  D. Jaffray,et al.  A ghost story: spatio-temporal response characteristics of an indirect-detection flat-panel imager. , 1999, Medical physics.

[29]  S. Molloi,et al.  In-vivo validation of videodensitometric coronary cross-sectional area measurement using dual-energy digital subtraction angiography , 1995, The International Journal of Cardiac Imaging.

[30]  C A Mistretta,et al.  Quantification techniques for dual-energy cardiac imaging. , 1989, Medical physics.

[31]  S Molloi,et al.  Absolute volumetric blood flow measurements using dual-energy digital subtraction angiography. , 1993, Medical physics.

[32]  Richard D. White,et al.  Potential clinical impact of variability in the measurement of coronary artery calcification with sequential MDCT. , 2005, AJR. American journal of roentgenology.

[33]  M. Budoff,et al.  Prognostic value of coronary calcification and angiographic stenoses in patients undergoing coronary angiography. , 1996, Journal of the American College of Cardiology.

[34]  Y. Akiyama,et al.  Electron beam CT versus 16-MDCT on the variability of repeated coronary artery calcium measurements in a variable heart rate phantom. , 2005, AJR. American journal of roentgenology.

[35]  W. Kalender,et al.  An algorithm for noise suppression in dual energy CT material density images. , 1988, IEEE transactions on medical imaging.

[36]  L T Niklason,et al.  Dual-energy digital radiographic quantification of calcium in simulated pulmonary nodules. , 1987, AJR. American journal of roentgenology.

[37]  C. McCollough Patient Dose in Cardiac Computed Tomography , 2003, Herz.

[38]  B. Thompson,et al.  Imaging of coronary artery calcification. Its importance in assessing atherosclerotic disease. , 1999, Radiologic clinics of North America.

[39]  Bernhard Erich Hermann Claus,et al.  Development and characterization of a dual-energy subtraction imaging system for chest radiography based on CsI:Tl amorphous silicon flat-panel technology , 2001, SPIE Medical Imaging.

[40]  W. Kalender,et al.  Assessment of calcium scoring performance in cardiac computed tomography , 2003, European Radiology.

[41]  W R Brody,et al.  A method for selective tissue and bone visualization using dual energy scanned projection radiography. , 1981, Medical physics.

[42]  T. Pilgram,et al.  Coronary artery calcium: accuracy and reproducibility of measurements with multi-detector row CT--assessment of effects of different thresholds and quantification methods. , 2003, Radiology.

[43]  P. Xue,et al.  Detection of moving objects in pulsed-x-ray fluoroscopy. , 1998, Journal of the Optical Society of America. A, Optics, image science, and vision.