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Author(s): Pedro Cunha
Daniel C. Moura
Jorge G. Barbosa
Title: Pedicle Detection in Planar Radiographs Based on Image Descriptors
Issue Date: 2012
Abstract: Assessing spinal deformations requires a 3D evaluation. However, due to restrictions of conventional 3D imaging techniques, 3D reconstructions are typically performed from planar radiographs. Conventional reconstruction methods require a large interaction time for the identification of anatomical structures of interest. Recently, semi-supervised methods were proposed that enable to reduce interaction time. However, these methods have shown difficulties to determine precisely the pedicles of vertebrae, which are fundamental for calculating several clinical indices. This paper proposes a new method for the detection of pedicles in planar radiographs. The method is based in the use of feature descriptors for training a binary classifier and a detection phase that is carried out by sweeping a region of interest classifying all of its pixels. The location of the pedicle corresponds to the candidate with the largest output value of the classifier. The evaluation of the method was performed by comparison with a manual identification from an expert. The classifier used was a Support Vector Machine (SVM) and several descriptors were selected in order to determine which best suits this problem. The best results were obtained using Histograms of Oriented Gradients (HOG), which was able of determining a valid detection in approximatly half of the cases.
Subject: Engenharia biomédica, Engenharia electrotécnica, electrónica e informática
Biomedical enginnering, Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
Source: ICIAR 2012
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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