Streaking artifacts reduction in four-dimensional cone-beam computed tomography.

Cone-beam computed tomography (CBCT) using an "on-board" x-ray imaging device integrated into a radiation therapy system has recently been made available for patient positioning, target localization, and adaptive treatment planning. One of the challenges for gantry mounted image-guided radiation therapy (IGRT) systems is the slow acquisition of projections for cone-beam CT (CBCT), which makes them sensitive to any patient motion during the scans. Aiming at motion artifact reduction, four-dimensional CBCT (4D CBCT) techniques have been introduced, where a surrogate for the target's motion profile is utilized to sort the cone-beam data by respiratory phase. However, due to the limited gantry rotation speed and limited readout speed of the on-board imager, fewer than 100 projections are available for the image reconstruction at each respiratory phase. Thus, severe undersampling streaking artifacts plague 4D CBCT images. In this paper, the authors propose a simple scheme to significantly reduce the streaking artifacts. In this method, a prior image is first reconstructed using all available projections without gating, in which static structures are well reconstructed while moving objects are blurred. The undersampling streaking artifacts from static structures are estimated from this prior image volume and then can be removed from the phase images using gated reconstruction. The proposed method was validated using numerical simulations, experimental phantom data, and patient data. The fidelity of stationary and moving objects is maintained, while large gains in streak artifact reduction are observed. Using this technique one can reconstruct 4D CBCT datasets using no more projections than are acquired in a 60 s scan. At the same time, a temporal gating window as narrow as 100 ms was utilized. Compared to the conventional 4D CBCT reconstruction, streaking artifacts were reduced by 60% to 70%.

[1]  J. Wong,et al.  Flat-panel cone-beam computed tomography for image-guided radiation therapy. , 2002, International journal of radiation oncology, biology, physics.

[2]  P. Munro,et al.  Four-dimensional cone-beam computed tomography using an on-board imager. , 2006, Medical physics.

[3]  Gabor T. Herman,et al.  Image reconstruction from projections : the fundamentals of computerized tomography , 1980 .

[4]  T. M. Peters Algorithms for Fast Back- and Re-Projection in Computed Tomography , 1981 .

[5]  Uwe Oelfke,et al.  Linac-integrated 4D cone beam CT: first experimental results , 2006, Physics in medicine and biology.

[6]  T. M. Guerrero,et al.  Four-dimensional cone beam CT with adaptive gantry rotation and adaptive data sampling. , 2007, Medical physics.

[7]  Lei Xing,et al.  Enhanced 4D cone-beam CT with inter-phase motion model. , 2007, Medical physics.

[8]  L. Xing,et al.  Optimizing 4D cone-beam CT acquisition protocol for external beam radiotherapy. , 2007, International journal of radiation oncology, biology, physics.

[9]  B. Wilson,et al.  Volume CT with a flat-panel detector on a mobile, isocentric C-arm: pre-clinical investigation in guidance of minimally invasive surgery. , 2005, Medical physics.

[10]  L Xing,et al.  Motion correction for improved target localization with on-board cone-beam computed tomography , 2006, Physics in medicine and biology.

[11]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[12]  M. Vannier,et al.  Navigation in diagnosis and therapy. , 1999, European journal of radiology.

[13]  Ping Xia,et al.  Low-dose megavoltage cone-beam CT for radiation therapy. , 2005, International journal of radiation oncology, biology, physics.

[14]  Mark Oldham,et al.  Cone-beam-CT guided radiation therapy: A model for on-line application. , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[15]  Richard A. Robb,et al.  3-D Reconstruction of the Heart from Few Projections: A Practical Implementation of the McKinnon-Bates Algorithm , 1986, IEEE Transactions on Medical Imaging.

[16]  M. V. van Herk,et al.  Respiratory correlated cone beam CT. , 2005, Medical physics.

[17]  B. De Man,et al.  Distance-driven projection and backprojection in three dimensions. , 2004, Physics in medicine and biology.

[18]  R. Siddon Fast calculation of the exact radiological path for a three-dimensional CT array. , 1985, Medical physics.

[19]  Nicole M Wink,et al.  Respiratory correlated cone-beam computed tomography on an isocentric C-arm , 2005, Physics in medicine and biology.

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

[21]  Cyril Riddell,et al.  Design and development of C-arm based cone-beam CT for image-guided interventions: initial results , 2006, SPIE Medical Imaging.

[22]  Graeme C. Mc Kinnon,et al.  Towards Imaging the Beating Heart Usefully with a Conventional CT Scanner , 1981, IEEE Transactions on Biomedical Engineering.

[23]  Ellen Yorke,et al.  Integrating respiratory gating into a megavoltage cone-beam CT system. , 2006, Medical Physics (Lancaster).