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Rannulu C, Onal S, Omran M. A graphical user interface for automated 2- or 3-dimensional image registration in dental treatment recovery planning: the DentIR application. Oral Radiol. 2020;37(1):101-108doi: 10.1007/s11282-020-00431-4.
Rannulu, C., Onal, S., & Omran, M. (2021). A graphical user interface for automated 2- or 3-dimensional image registration in dental treatment recovery planning: the DentIR application. Oral radiology, 37(1), 101-108. https://doi.org/10.1007/s11282-020-00431-4
Rannulu, Chinthaka, et al. "A graphical user interface for automated 2- or 3-dimensional image registration in dental treatment recovery planning: the DentIR application." Oral radiology vol. 37,1 (2021): 101-108. doi: https://doi.org/10.1007/s11282-020-00431-4
Rannulu C, Onal S, Omran M. A graphical user interface for automated 2- or 3-dimensional image registration in dental treatment recovery planning: the DentIR application. Oral Radiol. 2021 Jan;37(1):101-108. doi: 10.1007/s11282-020-00431-4. Epub 2020 Mar 18. PMID: 32189132.
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Oral Radiol. 2021 Jan;37(1):101-108. doi: 10.1007/s11282-020-00431-4. Epub 2020 Mar 18.

A graphical user interface for automated 2- or 3-dimensional image registration in dental treatment recovery planning: the DentIR application.

Oral radiology

Chinthaka Rannulu, Sinan Onal, Mohamed Omran

Affiliations

  1. Department of Mechanical and Industrial Engineering, Southern Illinois University, Edwardsville, Box 1805, Edwardsville, IL, 62026, USA.
  2. Department of Mechanical and Industrial Engineering, Southern Illinois University, Edwardsville, Box 1805, Edwardsville, IL, 62026, USA. [email protected].
  3. Department of Implantology, School of Dental Medicine, Southern Illinois University, Edwardsville, Edwardsville, IL, USA.

PMID: 32189132 DOI: 10.1007/s11282-020-00431-4

Abstract

OBJECTIVES: Cone-beam computed tomography (CBCT) scans enable quantification of interproximal bone loss after implant procedures in dental patients. In order for this quantification to be accurate, software is typically used to manipulate image sets captured before and after implantation to obtain their exact registration (i.e., alignment). However, no affordable CBCT image registration software is currently available for dental applications. Thus, the aim of the present study was to develop a freely available graphical user interface, called DentIR, that automates 2-dimensional (2-D) or 3-D image registration for use in planning dental treatment.

METHODS: The DentIR app was designed using the MATLAB environment, downloaded to a desktop personal computer (PC and Mac), and tested for its ease of use and alignment accuracy in the absence of the MATLAB environment.

RESULTS: The DentIR app enabled previewing of the CBCT images in 3-D to allow for filtering of each frame to reduce noise and blurring before registration. The 2-D or 3-D registration was tested with four transformation methods. The accuracy of each method was assessed by comparing the mean squared error and the peak signal-to-noise ratio values that were provided by the DentIR app. The registered images could be saved as Portable Network Graphics (PNG) images.

CONCLUSIONS: The free, user-friendly DentIR app was easily downloadable to Mac or PC platforms. It provided accurate image registration to aid in the planning of dental treatment. Future updates of the DentIR app include adding the ability to register more than two images at once, enhancing image editing options and enabling registration of a cropped portion of the image for more in-depth analyses.

Keywords: Automatic image registration; Cone-beam computed tomography (CBCT); DentIR; Implant planning; Multimodality imaging

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