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Cleft, impacted teeth and maxilla lesion, are some of prevalent skeletal disorders in maxillofacial areas. In most of people, asymmetric parts of the body, imply that there is a defect in that area. In this paper we propose a new method based on symmetry detection, to find the asymmetric areas for locating mentioned disorders in cone beam computed tomography. Scaleinvariant feature transform, is a...
This study's objective is to execute successful segmentation of the lung anatomy of HRCT of patients who have ILD and evaluate the segmentation performance. Initial segmentation process involved Otsu grey level thresholding and morphological filtering. Some of the problems encountered were the appearance of connected lungs because the left lung and right lung were very close to each other, and heavily...
Lobe detection from CT images is a challenging segmentation problem with important respiratory health care applications, including surgical planning and regional image analysis. We present a fully automated method for segmenting the pulmonary lobes. We first build a lobar approximation by applying a watershed transform to a vesselness density filter, using seed points generated from segmentation and...
Bone quality is an important factor of bone strength. Osteoporosis is a disease characterized by longitudinal changes in 3-D trabecular bone structure, such as decreased trabecular thickness. With the purpose of identifying parameters indicate the quality of bone micro-architecture, a strategy are developed, using High Resolution Micro-Computed Tomography (μCT) images. The main idea is the use of...
The paper describes a set of approaches and routines designed to improve results in CT based 3D subtractive angiography of lower extremities via better global locally defined image data registration. Starting from the generic concept of 3D disparity-based flexible registration, modifications of this idea are made founded on prior anatomical knowledge, as segmentation into individual bone areas, their...
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