Artifact-Resistant Superimposition of Digital Dental Models and Cone-Beam Computed Tomography Images

Three-dimensional computer-assisted surgical simulation and intraoperative navigation in orthognathic surgery: A literature review

“…Nkenke et al 19 , Kim et al, 20 and Noh et al 21 proposed the different surfacebased methods using the iterative closest point algorithm, with the errors evaluated by measuring the 3D Euclidean distances between the surface points on the two original images based on manual selection of the corresponding areas. Recently, Lin et al 22 provided an artifact-resistant surface-based registration method that was robust and clinically applicable and that did not require markers. Liao et al 23 used a free-hand method to reposition and reorient the dental model to the surface-best-fit with CT teeth images.…”

Point-based superimposition of a digital dental model on to a three-dimensional computed tomographic skull: an accuracy study in vitro

“…5 First, fiducial superimposition, 3,6-8 second, triple cone-beam computed tomography (CT), 9,10 and third, surface-based superimposition. 5,11,12 Though the accuracy of the first 2 is thought to be reliable and acceptable, they rely on either a bulky registration block or extra cone-beam CT scans, which may compromise their clinical use. The surfacebased method, based on an algorithm called "iterative closest points", has also been validated and it is accurate even in cases with severe artefacts.…”

“…The surfacebased method, based on an algorithm called "iterative closest points", has also been validated and it is accurate even in cases with severe artefacts. 5 This is an automatic superimposition done by graph-processing software, which is free of any fiducial registration block or multiple cone-beam CT scans, and seems to be more applicable for routine clinical use than its peers. However, because of its "automatic" nature, successful superimposition cannot always be guaranteed and manual adjustments are still occasionally required.…”

“…In the light of the success of surface-based superimposition, 5,12 we hypothesised that it might also have clinically acceptable accuracy. We designed an in vitro study to assess this, by repeating point-based superimpositions of a digital dental model on to a 3-dimensional CT skull (Fig.…”

Development of customized positioning guides using computer-aided design and manufacturing technology for orthognathic surgery

“…Then, the digital dental model was registered and integrated into the CBCT model to obtain an accurate rendition of the teeth before surgical simulation. This procedure was accomplished by our proposed artifact-resistant surface-based registration method that is robust and clinically applicable without the use of markers [20]. At the same time, it could validate that the threshold chosen by an expert for hard tissue segmentation was securely fit the positioning guides.…”