Quality assessment of clinical computed tomography

Three-dimensional images are vital for the diagnosis in dentistry and cranio-maxillofacial surgery. Artifacts caused by highly absorbing components such as metallic implants, however, limit the value of the tomograms. The dominant artifacts observed are blowout and streaks. Investigating the artifacts generated by metallic implants in a pig jaw, the data acquisition for the patients in dentistry should be optimized in a quantitative manner. A freshly explanted pig jaw including related soft-tissues served as a model system. Images were recorded varying the accelerating voltage and the beam current. The comparison with multi-slice and micro computed tomography (CT) helps to validate the approach with the dental CT system (3D-Accuitomo, Morita, Japan). The data are rigidly registered to comparatively quantify their quality. The micro CT data provide a reasonable standard for quantitative data assessment of clinical CT.

[1]  Wang,et al.  Iterative X-ray Cone-Beam Tomography for Metal Artifact Reduction and Local Region Reconstruction , 1999, Microscopy and Microanalysis.

[2]  Max Heiland,et al.  Evaluation of quality of reformatted images from two cone-beam computed tomographic systems. , 2005, Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery.

[3]  J. Timmer,et al.  Artefacts in spiral-CT images and their relation to pitch and subject morphology , 1999, European Radiology.

[4]  Marcel E Noujeim,et al.  Influence of the Beam Hardness on Artifacts in Cone-Beam CT , 2008 .

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

[6]  Paulo Henrique Couto Souza,et al.  Influence of soft tissues on mandibular gray scale levels. , 2004, Brazilian oral research.

[7]  Guy Marchal,et al.  Multi-modality image registration by maximization of mutual information , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[8]  M W Vannier,et al.  Craniofacial measurements based on 3D-CT volume rendering: implications for clinical applications. , 2004, Dento maxillo facial radiology.

[9]  D A Tyndall,et al.  Selection criteria for dental implant site imaging: a position paper of the American Academy of Oral and Maxillofacial radiology. , 2000, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[10]  M. Wood,et al.  A review of selected dental literature on evidence-based treatment planning for dental implants: report of the Committee on Research in Fixed Prosthodontics of the Academy of Fixed Prosthodontics. , 2004, The Journal of prosthetic dentistry.

[11]  Mark G. Hans,et al.  Influence of mA settings and a copper filter in CBCT image resolution , 2006 .

[12]  M. Cohnen,et al.  Radiation dose in dental radiology , 2002, European Radiology.

[13]  P. Mozzo,et al.  A new volumetric CT machine for dental imaging based on the cone-beam technique: preliminary results , 1998, European Radiology.

[14]  Marc Kachelrieß,et al.  Improvement of image quality of multislice spiral CT scans of the head and neck region using a raw data-based multidimensional adaptive filtering (MAF) technique , 2004, European Radiology.

[15]  D. Hatcher,et al.  Radiation absorbed in maxillofacial imaging with a new dental computed tomography device. , 2003, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[16]  W. Kalender,et al.  A pragmatic approach to metal artifact reduction in CT: merging of metal artifact reduced images , 2004, European Radiology.

[17]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.

[18]  J. Hsieh,et al.  An iterative approach to the beam hardening correction in cone beam CT. , 2000, Medical physics.

[19]  Olva Odium A method of eliminating streak artifacts from metallic dental restorations in CTs of head and neck cancer patients. , 2001 .

[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]  M S Schwarz,et al.  Computed tomography in dental implantation surgery. , 1989, Dental clinics of North America.

[22]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[23]  W. Kalender,et al.  Reduction of CT artifacts caused by metallic implants. , 1987 .

[24]  K Engelke,et al.  CT of metal implants: reduction of artifacts using an extended CT scale technique. , 2000, Journal of computer assisted tomography.

[25]  G. Adam,et al.  Radiation exposure during midfacial imaging using 4- and 16-slice computed tomography, cone beam computed tomography systems and conventional radiography. , 2004, Dento maxillo facial radiology.