Actas de congresos
Detection Of Tooth Fractures In Cbct Images Using Attention Index Estimation
Registro en:
9780819498298
Progress In Biomedical Optics And Imaging - Proceedings Of Spie. Spie, v. 9036, n. , p. - , 2014.
16057422
10.1117/12.2041708
2-s2.0-84902160299
Autor
Souza A.
Falcao A.
Ray L.
Institución
Resumen
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. © 2014 SPIE. 9036
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