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Mandible bone segmentation from computed tomography (CT) scans is challenging due to mandible's structural irregularities, complex shape patterns, and lack of contrast in joints. Furthermore, connections of teeth to mandible and mandible to remaining parts of the skull make it extremely difficult to identify mandible boundary automatically. This study addresses these challenges by proposing a novel...
Posterior cruciate ligament (PCL) is important for the knee stability. The problem seems to lie in the fact that it is difficult to segment the PCL from a magnetic resonance (MR) image. To reduce massive measurement time and subjective judgment error, this paper proposes a segmentation method of the PCL in knee joint from MR image and computed tomography (CT) image using anatomical information. In...
Injuries of the bony orbit, which contains the eye, not only have aesthetic implications but also impair stereoscopic vision. Different techniques are used for surgical treatment. In this work we will present a tool that allows the reliable segmentation of the reconstructed and the unaffected orbit. For this we present a novel anterior closing that follows the clinical understanding of anatomy. To...
Routinely, compounds are assessed by developmental and reproductive toxicology (DART) studies to evaluate the potential for drug-induced birth defects. High-throughput micro-CT images are being used to evaluate skeletal abnormalities due to its ability to provide high quality images of bone structures. Currently, these micro-CT images are visually inspected for skeletal abnormalities, which is a time...
Information about abdominal wall can be used for many applications from organ segmentation, registration, and surgical simulation. The challenges exist in abdominal wall extraction due to its varieties in shapes, connection to the internal organs and anterior layer edge formed between the muscle and fascia/fatty layer, which may distract the shape model. In this paper we present an approach to the...
This paper presents a new automatic technique for the segmentation of the rib cage on CT images. Motivated by a usage scenario in the context of large, heterogeneous databases of CT-images, we introduce two shape descriptors to be used in conjunction with a Random Forests (RF) classifier. These descriptors were specifically designed to address the challenges of rib identification under various acquisition...
Cone-beam CT images are useful in operative dentistry but suffer from a comparatively bad image quality with regard to the signal-to-noise ratio. Therefore, we use a statistical shape model (SSM) for robust segmentation of the mandible. In contrast to previous approaches, our method (i) is fully automatic in terms of both, the establishment of correspondence and the segmentation itself, and (ii) allows...
In this paper a novel articulated atlas for the fully automated segmentation of the skeleton from head & neck CT datasets is presented. An individual atlas describing the shape and appearance is created for each individual bone. Principal Component Analysis is used to learn spatial relations between those atlases resulting in a unified articulated atlas. Transformations are parameterized using...
We introduce a coordinate-dependent characteristic of symmetry, which is denoted by C/A. C/A is defined by the division of the covariance (C) by the area (A) of the object of the image. The characteristic has the good properties for the applications to the image processing. We compute the characteristic of ellipse, for which we derive the formula of the perimeter of ellipse. We apply C/A to the segmentation...
The accurate segmentation of the bone and articular cartilages from magnetic resonance (MR) images of the hip is important for clinical studies and drug trials into conditions like osteoarthritis. In current studies, segmentations are obtained using time-consuming manual or semi-automatic algorithms which have high inter- and intra-observer variabilities. This paper presents an important step towards...
In this paper, we propose a new shape based segmentation and registration of the vertebral bodies (VBs) in clinical computed tomography (CT) images. The VB and surrounding organs have very close gray level information and there are no strong edges in some CT images. To overcome these challenges, image appearance and shape information of VBs are used. There are three phases of our experiments: i) the...
To diagnose the osteoporosis accurately, the bone mineral density (BMD) measurements of the vertebral bodies (VBs) are required. In this paper, we propose a new segmentation and registration method in order to assist the BMD measurements and fracture analysis (FA) accurately. In this experiment, image appearance and shape information of VBs are used. Our shape model is required to be registered to...
Statistical shape and intensity modelling have been subject to an increasing interest within the past decade. However, construction of such models requires large number of segmented examples. Accurate and automatic segmentation techniques that do not require any explicit prior model are therefore of high interest. We propose a fully-automatic method for segmenting the femur in 3D Computed Tomography...
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral density (BMD) measurements and fracture analysis (FA) of the Vertebral bodies (VBs) are required. In this paper, we propose a robust and 3D shape based method to segment VBs in clinical computed tomography (CT) images in order...
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we propose a novel 3D shape based method to segment VBs in clinical computed tomography (CT) images without any user intervention. The proposed method depends on both image appearance and shape information. 3D shape information is obtained from a set of training...
In this paper we propose a framework for fully automatic, robust and accurate segmentation of the human pelvis and proximal femur in CT data. We propose a composite statistical shape model of femur and pelvis with a flexible hip joint, for which we extend the common definition of statistical shape models as well as the common strategy for their adaptation. We do not analyze the joint flexibility statistically,...
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