Motion Compensated Fan-Beam Reconstruction for Nonrigid Transformation

We develop an approximate fan-beam algorithm to reconstruct an object with time-dependent nonrigid transformation such as the heart. The method is in the form of derivative back- projection filtering with compensation of affine transformations on a local basis. Computer simulations showed the proposed method significantly reduces image artifact due to nonrigid motion. Therefore, with very little motion artifact, the proposed method allowed us to reconstruct images from projections over about one motion cycle, resulting in reduced image noise level down to 40% of the current level.

[1]  D. Parker Optimal short scan convolution reconstruction for fan beam CT , 1982 .

[2]  Dinggang Shen,et al.  Consistent Estimation of Cardiac Motions by 4D Image Registration , 2005, MICCAI.

[3]  Terry Peters,et al.  Dose reduction for cardiac CT using a registration-based approach. , 2007, Medical physics.

[4]  Patrick J. La Rivière,et al.  Penalized-likelihood sinogram restoration for computed tomography , 2006, IEEE Transactions on Medical Imaging.

[5]  Katsuyuki Taguchi,et al.  Direct cone-beam cardiac reconstruction algorithm with cardiac banding artifact correction. , 2006, Medical physics.

[6]  Günter Lauritsch,et al.  A new scheme for view-dependent data differentiation in fan-beam and cone-beam computed tomography. , 2007, Physics in medicine and biology.

[7]  Jeffrey A. Fessler,et al.  Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration , 2007, IEEE Transactions on Medical Imaging.

[8]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[9]  Cameron J. Ritchie,et al.  Respiratory compensation in projection imaging using a magnification and displacement model , 1996, IEEE Trans. Medical Imaging.

[10]  Jeffrey A. Fessler,et al.  Respiratory motion estimation from slowly rotating x-ray projections: theory and simulation. , 2005 .

[11]  Katsuyuki Taguchi,et al.  Temporal resolution and the evaluation of candidate algorithms for four-dimensional CT. , 2003, Medical physics.

[12]  Katsuyuki Taguchi,et al.  Formulation of four katsevich algorithms in native geometry , 2006, IEEE Transactions on Medical Imaging.

[13]  Pierre Grangeat,et al.  Exact reconstruction in 2D dynamic CT: compensation of time-dependent affine deformations. , 2004, Physics in medicine and biology.

[14]  Katsuyuki Taguchi,et al.  Toward time resolved 4D cardiac CT imaging with patient dose reduction: estimating the global heart motion , 2006, SPIE Medical Imaging.

[15]  A. Katsevich Analysis of an exact inversion algorithm for spiral cone-beam CT. , 2002, Physics in medicine and biology.

[16]  Alexander Katsevich,et al.  Theoretically Exact Filtered Backprojection-Type Inversion Algorithm for Spiral CT , 2002, SIAM J. Appl. Math..

[17]  Xiaochuan Pan,et al.  Image reconstruction on PI-lines by use of filtered backprojection in helical cone-beam CT. , 2004, Physics in medicine and biology.

[18]  Patrick J. La Riviere Penalized‐likelihood sinogram smoothing for low‐dose CT , 2005 .

[19]  R. Leahy,et al.  Computation of 3-D velocity fields from 3-D cine CT images of a human heart. , 1991, IEEE transactions on medical imaging.

[20]  Xiaochuan Pan,et al.  Exact image reconstruction on PI-lines from minimum data in helical cone-beam CT. , 2004, Physics in medicine and biology.

[21]  M. Glas,et al.  Principles of Computerized Tomographic Imaging , 2000 .

[22]  Jiang Hsieh,et al.  Step-and-shoot data acquisition and reconstruction for cardiac x-ray computed tomography. , 2006, Medical physics.

[23]  D L Parker,et al.  Optimal short scan convolution reconstruction for fanbeam CT. , 1982, Medical physics.

[24]  J. Hsieh Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise. , 1998, Medical physics.

[25]  Hiroyuki Kudo,et al.  Image reconstruction from fan-beam projections on less than a short scan , 2002, Physics in medicine and biology.

[26]  Pierre Grangeat,et al.  Compensation of Some Time Dependent Deformations in Tomography , 2007, IEEE Transactions on Medical Imaging.

[27]  K F King,et al.  Computed tomography scanning with simultaneous patient translation. , 1990, Medical physics.

[28]  Jean-Christophe Cornily,et al.  Accuracy of multislice computed tomography in the preoperative assessment of coronary disease in patients with aortic valve stenosis. , 2006, Journal of the American College of Cardiology.

[29]  F. Noo,et al.  A two-step Hilbert transform method for 2D image reconstruction. , 2004, Physics in medicine and biology.

[30]  K Taguchi,et al.  High temporal resolution for multislice helical computed tomography. , 2000, Medical physics.

[31]  R. Huesman,et al.  Non-rigid summing of gated PET via optical flow , 1996 .

[32]  Jed D. Pack,et al.  Dynamic computed tomography with known motion field , 2004, SPIE Medical Imaging.

[33]  Yongmin Kim,et al.  Correction of computed tomography motion artifacts using pixel-specific back-projection , 1996, IEEE Trans. Medical Imaging.

[34]  James E. Bowsher,et al.  Simultaneous reconstruction and motion estimation for gated cardiac ECT , 2001 .

[35]  Xiaochuan Pan,et al.  A unified analysis of FBP-based algorithms in helical cone-beam and circular cone- and fan-beam scans. , 2004, Physics in medicine and biology.