Detection of tooth fractures in CBCT images using attention index estimation

Andre Souza; Alexandre Falcão; Lawrence Ray

doi:10.1117/12.2041708

12 March 2014 Detection of tooth fractures in CBCT images using attention index estimation

Andre Souza, Alexandre Falcão, Lawrence Ray

Proceedings Volume 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling; 90361R (2014) https://doi.org/10.1117/12.2041708
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

The attention index (𝜑) is a number from zero to one that indicates a possible fracture is detected inside a selected tooth. The higher the 𝜑 number, the greater the likelihood for needed attention in the visual examination. The method developed for the 𝜑 estimation extracts a connected component with image properties that are similar to those of a typical tooth fracture. That is, in cone-beam computed tomography (CBCT) images, a fracture appears as a dark canyon inside the tooth. In order to start the visual examination process, the method provides a plane across the geometric center of the suspicious fracture component, which maximizes the number of pixels from that component inside the plane. During visual examination, the user (doctor) can change plane orientations and locations, by manipulating the mouse toward different graphical elements that represent the plane on a 3-D rendition of the tooth, while the corresponding image of the plane is shown at its side. The visual examination aims at confirming or disproving the fracture-detection event. We have designed and implemented these algorithms using the image-foresting transform methodology.

Citation Download Citation

Andre Souza, Alexandre Falcão, and Lawrence Ray "Detection of tooth fractures in CBCT images using attention index estimation", Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90361R (12 March 2014); https://doi.org/10.1117/12.2041708

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KEYWORDS

Teeth

Image segmentation

3D image processing

Visualization

3D displays

Image processing algorithms and systems

3D visualizations

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