A scheme for multisource interior tomography.

Currently, x-ray computed tomography (CT) requires source scanning so that projections can be collected from various orientations for image reconstruction. Limited by the scanning time, the temporal resolution of CT is often inadequate when rapid dynamics is involved in an object to be reconstructed. To meet this challenge, here the authors propose a scheme of multisource interior tomography for ultrafast imaging that reconstructs a relatively small region of interest (ROI). Specifically, such a ROI is irradiated in parallel with narrow x-ray beams defined by many source-detector pairs for data acquisition. This ROI can be then reconstructed using the interior tomography approach. To demonstrate the merits of this approach, the authors report interior reconstruction from in vivo lung CT data at a much reduced radiation dose, which is roughly proportional to the ROI size. The results suggest a scheme for ultrafast tomography (such as with a limited number of sources and in a scanning mode) to shorten data acquisition time and to suppress motion blurring.

[1]  Hengyong Yu,et al.  Lambda tomography with discontinuous scanning trajectories. , 2007, Physics in medicine and biology.

[2]  E. T. Quinto Local algorithms in exterior tomography , 2007 .

[3]  M. Defrise,et al.  Solving the interior problem of computed tomography using a priori knowledge , 2008, Inverse problems.

[4]  E. Boerwinkle,et al.  From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part I. , 2003, Circulation.

[5]  A. Ramm,et al.  The RADON TRANSFORM and LOCAL TOMOGRAPHY , 1996 .

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

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

[8]  W. B. Gilboy,et al.  Development of a high speed X-ray tomography system for multiphase flow imaging , 1998 .

[9]  Otto Zhou,et al.  Hadamard multiplexing radiography based on carbon nanotube field emission multi-pixel x-ray technology , 2008, SPIE Medical Imaging.

[10]  Hengyong Yu,et al.  A General Local Reconstruction Approach Based on a Truncated Hilbert Transform , 2007, Int. J. Biomed. Imaging.

[11]  E.A. Hoffman,et al.  High-speed three-dimensional X-ray computed tomography: The dynamic spatial reconstructor , 1983, Proceedings of the IEEE.

[12]  P. Kuchment,et al.  On local tomography , 1995 .

[13]  Hengyong Yu,et al.  Interior SPECT- Exact and Stable ROI Reconstruction from Uniformly Attenuated Local Projections. , 2009, Communications in numerical methods in engineering.

[14]  Ge Wang,et al.  An iterative algorithm for X-ray CT fluoroscopy , 1998, IEEE Transactions on Medical Imaging.

[15]  Jun Zhao,et al.  A Filtered Backprojection Algorithm for Triple-Source Helical Cone-Beam CT , 2009, IEEE Transactions on Medical Imaging.

[16]  Per Christian Hansen,et al.  Truncated Singular Value Decomposition Solutions to Discrete Ill-Posed Problems with Ill-Determined Numerical Rank , 1990, SIAM J. Sci. Comput..

[17]  Erik L. Ritman,et al.  Local Tomography II , 1997, SIAM J. Appl. Math..

[18]  Hengyong Yu,et al.  Design, analysis and simulation for development of the first clinical micro-CT scanner. , 2005, Academic radiology.

[19]  F. Natterer The Mathematics of Computerized Tomography , 1986 .

[20]  Rolf Clackdoyle,et al.  Cone-beam reconstruction using the backprojection of locally filtered projections , 2005, IEEE Transactions on Medical Imaging.

[21]  A. Ahnesjö,et al.  Beam modeling and verification of a photon beam multisource model. , 2005, Medical physics.

[22]  Hengyong Yu,et al.  Studies on implementation of the Katsevich algorithm for spiral cone-beam CT , 2004 .

[23]  Y. Liu,et al.  Half-scan cone-beam CT fluoroscopy with multiple x-ray sources. , 2001, Medical physics.

[24]  Ge Wang,et al.  Top-level design and preliminary physical analysis for the first electron-beam micro-CT scanner , 2004 .

[25]  G Wang,et al.  Longitudinal image deblurring in spiral CT. , 1994, Radiology.

[26]  Hengyong Yu,et al.  Design, analysis and simulation for development of the first clinical micro-CT scanner1 , 2005 .

[27]  E. T. Quinto,et al.  Local Tomography in Electron Microscopy , 2008, SIAM J. Appl. Math..

[28]  Hengyong Yu,et al.  Compressed sensing based interior tomography , 2009, Physics in medicine and biology.

[29]  H. Rullg̊ard An explicit inversion formula for the exponential Radon transform using data from 180° , 2004 .

[30]  Hengyong Yu,et al.  Cardiac Computed Tomography Radiation Dose Reduction Using Interior Reconstruction Algorithm With the Aorta and Vertebra as Known Information , 2009, Journal of computer assisted tomography.

[31]  Hengyong Yu,et al.  Interior Reconstruction Using the Truncated Hilbert Transform via Singular Value Decomposition. , 2008, Journal of X-ray science and technology.

[32]  Xiaochuan Pan,et al.  An extended data function and its generalized backprojection for image reconstruction in helical cone-beam CT. , 2004, Physics in medicine and biology.

[33]  A. Cormack Representation of a Function by Its Line Integrals, with Some Radiological Applications , 1963 .

[34]  M. Defrise,et al.  Tiny a priori knowledge solves the interior problem in computed tomography , 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

[35]  M. Jiang,et al.  Ordered-subset simultaneous algebraic reconstruction techniques (OS-SART) , 2004 .

[36]  K. Stierstorfer,et al.  First performance evaluation of a dual-source CT (DSCT) system , 2006, European Radiology.

[37]  I. Gel'fand,et al.  Crofton's function and inversion formulas in real integral geometry , 1991 .