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We present a fully automated method of integrating intraoral scan (IOS) anddental cone-beam computerized tomography (CBCT) images into one image bycomplementing each image's weaknesses. Dental CBCT alone may not be able todelineate precise details of the tooth surface due to limited image resolutionand various CBCT artifacts, including metal-induced artifacts. IOS is veryaccurate for the scanning of narrow areas, but it produces cumulative stitchingerrors during full-arch scanning. The proposed method is intended not only tocompensate the low-quality of CBCT-derived tooth surfaces with IOS, but also tocorrect the cumulative stitching errors of IOS across the entire dental arch.Moreover, the integration provide both gingival structure of IOS and toothroots of CBCT in one image. The proposed fully automated method consists offour parts; (i) individual tooth segmentation and identification module for IOSdata (TSIM-IOS); (ii) individual tooth segmentation and identification modulefor CBCT data (TSIM-CBCT); (iii) global-to-local tooth registration between IOSand CBCT; and (iv) stitching error correction of full-arch IOS. Theexperimental results show that the proposed method achieved landmark andsurface distance errors of 112.4 $\mu$m and 301.7 $\mu$m, respectively.

Fully automatic integration of dental CBCT images and full-arch  intraoral impressions with stitching error correction via individual tooth  segmentation and identification