![labview 2013 serial number labview 2013 serial number](https://www.oreilly.com/library/view/arduino-cookbook-2nd/9781449321185/httpatomoreillycomsourceoreillyimages1673052.png)
If the cracked tooth is not treated properly, the cracks would continue to expand and eventually leading to the onset of pulpitis or the fracture of the whole tooth. The disease is very easy to be misdiagnosed or mistreated due to the indiscoverable microcracks and the inconspicuous early clinical symptoms. The proposed method may provide a new solution for the rapid clinical diagnosis of cracked teeth and the calculated crack information would be helpful for the subsequent clinical treatment of cracked teeth.Ĭracked tooth syndrome, also known as incomplete tooth crack, was defined as non-physiological microcracks that normally occur on the surface of the tooth crown. The crack on the surface of the simulated cracked tooth could be detected based on the proposed DIC-based method. Based on crack kinematics, the crack opening displacement was quantitatively calculated to be 2–10 µm under the normal mastication stress, which was in good agreement with the value reported in the literature. The skeleton of the crack path was successfully extracted from the image of the principal strain field, which was further verified by the image from micro-CT. Through image analysis, the micro-crack was quantitatively visualized and characterized. By using digital image correlation (DIC), the deformation map for the crown surface of the cracked tooth was calculated. A homemade three-axis motion platform mounted with a telecentric lens was built as an image acquisition system to observe the surface of the simulated cracked tooth, which was under compression with a magnitude of the masticatory force. This paper proposes an image-based method for the detection of the micro-crack in the simulated cracked tooth. One of the key problems for the diagnosis of the cracked tooth is the detection of the location of the surface crack. Early clinical cracked tooth can be a perplexing disorder to diagnose and manage.