Variation in voxel value distribution and effect of time between exposures in six CBCT units.

The aim of this study is to assess the variation in voxel value distribution in volumetric data sets obtained by six cone beam CT (CBCT) units, and the effect of time between exposures. Six CBCT units [Cranex(®) 3D (CRAN; Soredex Oy, Tuusula, Finland), Scanora(®) 3D (SCAN; Soredex Oy), NewTom™ 5G (NEWT; QR Srl, Verona, Italy), Promax(®) Dimax 3 (Planmeca Oy, Helsinki, Finland), i-CAT (Imaging Sciences International, Hatfield, PA) and 3D Accuitomo FPD80 (Morita, Kyoto, Japan)] were tested. Two volumetric data sets of a dry human skull embedded in acrylic were acquired by each CBCT unit in two sessions on separate days. Each session consisted of 20 exposures: 10 acquired with 30 min between exposures and 10 acquired immediately one after the other. CBCT data were exported as digital imaging and communications in medicine (DICOM) files and converted to text files. The text files were re-organized to contain x-, y- and z-position and grey shade for each voxel. The files were merged to contain 1 record per voxel position, including the voxel values from the 20 exposures in a session. For each voxel, subtractions were performed between Data Set 1 and the remaining 19 data sets (1 - 2, 1 - 3, etc) in a session. Means, medians, ranges and standard deviations for grey shade variation in the subtraction data sets were calculated for each unit and session. For all CBCT units, variation in voxel values was observed throughout the 20 exposures. A "fingerprint" for the grey shade variation was observed for CRAN, SCAN and NEWT. For the other units, the variation was (apparently) randomly distributed. Large discrepancies in voxel value distribution are seen in CBCT images. This variation should be considered in studies that assess minute changes in CBCT images.

[1]  H. Bosmans,et al.  Variability of dental cone beam CT grey values for density estimations. , 2013, The British journal of radiology.

[2]  M Noujeim,et al.  Cone beam CT scans with and without artefact reduction in root fracture detection of endodontically treated teeth. , 2013, Dento maxillo facial radiology.

[3]  K. Araki,et al.  The effect of surrounding conditions on pixel value of cone beam computed tomography. , 2013, Clinical oral implants research.

[4]  William R Proffit,et al.  Working with DICOM craniofacial images. , 2009, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.

[5]  A Wenzel,et al.  Cone beam CT image artefacts related to head motion simulated by a robot skull: visual characteristics and impact on image quality. , 2013, Dento maxillo facial radiology.

[6]  H G Gröndahl,et al.  Signal-to-noise ratios of 6 intraoral digital sensors. , 2001, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[7]  T. Vogl,et al.  Radiation dose and image quality of X-ray volume imaging systems: cone-beam computed tomography, digital subtraction angiography and digital fluoroscopy , 2013, European Radiology.

[8]  S. Mukherji,et al.  Conebeam CT of the Head and Neck, Part 1: Physical Principles , 2009, American Journal of Neuroradiology.

[9]  Y Hayakawa,et al.  Intraoral radiographic storage phosphor image mean pixel values and signal-to-noise ratio: effects of calibration. , 1998, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[10]  Ann Wenzel Sensor noise in direct digital imaging (the RadioVisioGraphy, Sens-a-Ray, and Visualix/Vixa systems) evaluated by subtraction radiography. , 1994, Oral surgery, oral medicine, and oral pathology.

[11]  S. Mukherji,et al.  Conebeam CT of the Head and Neck, Part 2: Clinical Applications , 2009, American Journal of Neuroradiology.

[12]  F. Maes,et al.  Analysis of intensity variability in multislice and cone beam computed tomography. , 2011, Clinical oral implants research.

[13]  A Wenzel,et al.  Sources of noise in digital subtraction radiography. , 1991, Oral surgery, oral medicine, and oral pathology.

[14]  R Schulze,et al.  Artefacts in CBCT: a review. , 2011, Dento maxillo facial radiology.

[15]  R. Molteni Prospects and challenges of rendering tissue density in Hounsfield units for cone beam computed tomography. , 2013, Oral surgery, oral medicine, oral pathology and oral radiology.

[16]  E. Barbato,et al.  The accuracy of CBCT in measuring jaws bone density. , 2012, European review for medical and pharmacological sciences.

[17]  Tomáš Hanzelka,et al.  Reduction of the negative influence of patient motion on quality of CBCT scan. , 2010, Medical hypotheses.