The dependence of image quality on the number of high and low kVp projections in dual energy CT using the prior image constrained compressed sensing (PICCS) algorithm

Dual energy CT using a fast kVp switching technique and the standard filtered back projection (FBP) image reconstruction method has recently been studied. With conventional FBP methods, high slew rates are required for acceptable image reconstruction with high image quality. However, high slew rates also require hardware changes to enable data acquisition. In this work, we aim at studying the necessary slew rate for dual energy CT imaging provided that the PICCS algorithm is used for image reconstruction. The results demonstrate that a slew rate of 7.5 kV / view (assuming 2,000 views were collected over 360o with a 60 kVp energy separation) was sufficient for dual energy imaging using PICCS.

[1]  K. Stierstorfer,et al.  Image reconstruction and image quality evaluation for a dual source CT scanner. , 2003, Medical physics.

[2]  Katsuyuki Taguchi,et al.  Image-domain material decomposition using photon-counting CT , 2007, SPIE Medical Imaging.

[3]  William Pavlicek,et al.  Fast kVp switching CT imaging of a dynamic cardiac phantom , 2009, Medical Imaging.

[4]  J. H. Hubbell,et al.  Tables of X-Ray Mass Attenuation Coefficients and Mass Energy-Absorption Coefficients 1 keV to 20 MeV for Elements Z = 1 to 92 and 48 Additional Substances of Dosimetric Interest , 1995 .

[5]  Eric J. Tkaczyk,et al.  Monochromatic CT image representation via fast switching dual kVp , 2009, Medical Imaging.

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

[7]  A. Macovski,et al.  Energy-selective reconstructions in X-ray computerised tomography , 1976, Physics in medicine and biology.

[8]  Yu Zou,et al.  Analysis of fast kV-switching in dual energy CT using a pre-reconstruction decomposition technique , 2008, SPIE Medical Imaging.

[9]  Avinash C. Kak,et al.  Principles of computerized tomographic imaging , 2001, Classics in applied mathematics.

[10]  J H Siewerdsen,et al.  Spektr: a computational tool for x-ray spectral analysis and imaging system optimization. , 2004, Medical physics.

[11]  S. Leng,et al.  High temporal resolution and streak-free four-dimensional cone-beam computed tomography , 2008, Physics in medicine and biology.

[12]  Guang-Hong Chen,et al.  Temporal resolution improvement using PICCS in MDCT cardiac imaging. , 2009, Medical physics.

[13]  G. Hounsfield Computerized transverse axial scanning (tomography): Part I. Description of system. 1973. , 1973, The British journal of radiology.

[14]  Jie Tang,et al.  Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. , 2008, Medical physics.

[15]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[16]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[17]  C. McCollough,et al.  Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration. , 2009, Medical physics.

[18]  Emmanuel J. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[19]  Dan Xu,et al.  Dual energy CT via fast kVp switching spectrum estimation , 2009, Medical Imaging.

[20]  P. Joseph,et al.  Noise considerations in dual energy CT scanning. , 1979, Medical physics.