CT image registration in sinogram space.

Object displacement in a CT scan is generally reflected in CT projection data or sinogram. In this work, the direct relationship between object motion and the change of CT projection data (sinogram) is investigated and this knowledge is applied to create a novel algorithm for sinogram registration. Calculated and experimental results demonstrate that the registration technique works well for registering rigid 2D or 3D motion in parallel and fan beam samplings. Problem and solution for 3D sinogram-based registration of metallic fiducials are also addressed. Since the motion is registered before image reconstruction, the presented algorithm is particularly useful when registering images with metal or truncation artifacts. In addition, this algorithm is valuable for dealing with situations where only limited projection data are available, making it appealing for various applications in image guided radiation therapy.

[1]  L. Xing,et al.  Incorporating prior knowledge into beam orientation optimization in IMRT. , 2002, International journal of radiation oncology, biology, physics.

[2]  David L. Wilson,et al.  Deformable and rigid registration of MRI and microPET images for photodynamic therapy of cancer in mice. , 2006, Medical physics.

[3]  Jikun Wei,et al.  X-ray CT high-density artefact suppression in the presence of bones , 2004, Physics in medicine and biology.

[4]  Lei Xing,et al.  Image registration with auto-mapped control volumes , 2006 .

[5]  K. Ruchala,et al.  Image/patient registration from (partial) projection data by the Fourier phase matching method. , 1999, Physics in medicine and biology.

[6]  Weiguo Lu,et al.  Deformable registration of the planning image (kVCT) and the daily images (MVCT) for adaptive radiation therapy , 2006, Physics in medicine and biology.

[7]  K. Hoffmann,et al.  Determination of three-dimensional positions of known sparse objects from a single projection. , 1997, Medical physics.

[8]  L. Xing,et al.  Overview of image-guided radiation therapy. , 2006, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[9]  Karen M Horton.  CT imaging of patients with metallic hardware. , 2003, Critical reviews in computed tomography.

[10]  T R Mackie,et al.  Registration using tomographic projection files. , 1999, Physics in medicine and biology.

[11]  Steven Haker,et al.  Deformable structure registration of bladder through surface mapping. , 2006, Medical physics.

[12]  T. Mackie,et al.  Registration of synthetic tomographic projection data sets using cross-correlation , 1998, Physics in medicine and biology.

[13]  Jinkoo Kim,et al.  Effects of x-ray and CT image enhancements on the robustness and accuracy of a rigid 3D/2D image registration. , 2005, Medical physics.

[14]  D J Hawkes,et al.  Algorithms for radiological image registration and their clinical application , 1998, Journal of anatomy.

[15]  Radhe Mohan,et al.  Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy. , 2004, International journal of radiation oncology, biology, physics.

[16]  Julia F. Barrett,et al.  Artifacts in CT: recognition and avoidance. , 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.

[17]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[18]  L. Thurfjell,et al.  Image registration: an essential tool for nuclear medicine , 2002, European Journal of Nuclear Medicine and Molecular Imaging.

[19]  Willi A Kalender,et al.  An extensible software-based platform for reconstruction and evaluation of CT images. , 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.

[20]  Rainer Raupach,et al.  A new algorithm for metal artifact reduction in computed tomography: in vitro and in vivo evaluation after total hip replacement. , 2003, Investigative radiology.

[21]  L. Joskowicz,et al.  Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT , 2003, IEEE Transactions on Medical Imaging.