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We introduce the Ontology of Craniofacial Development and Malformation (OCDM) as a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR‐sponsored FaceBase Consortium, whose...
This paper introduces a new tool to quantify and characterize asymmetry in bilaterally paired structures. This method uses deformable registration to produce a dense vector field describing the point correspondences between two images of bilaterally paired structures. The deformation vector field properties are clustered to detect and describe regions of relevant asymmetry. Three methods are provided...
How to model shape variations plays an important role in active shape models that is widely used in model-based medical image segmentation, and principal component analysis is a common approach for this task. Recently, different tensor-based dimension reduction methods have been proposed and have achieved better performances than PCA in face recognition. However, how they perform in modeling 3D shape...
Finding point correspondences plays an important role in automatically building statistical shape models from a training set of 3D surfaces. Davies et al. assumed the projected coefficients have a multivariate Gaussian distributions and derived an objective function for the point correspondence problem that uses minimum description length to balance the training errors and generalization ability....
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side constraints to the min s-t cuts algorithm in order to improve its performance. We apply this formulation to foreground/background segmentation and provide empirical evidence to support its usefulness. From our experiments on...
Craniosynostosis is a congenital disease which consists of premature fusion of one or more cranial sutures, resulting in an abnormal head shape. Patients are usually treated by cranial vault expansion surgery to minimize the potential for brain damage. Full thickness cranial defects result from the expansion surgery, with the size directly proportional to the degree of expansion. The growing cranial...
As we develop radiation treatment planning systems for head and neck cancer patients, there is a need to identify reference patients whose anatomical structures share similar features. By finding previously treated patients or prototypical models with the most similar anatomy in the head and neck region, our prototype system can do a better job of identifying lymph node regions based on known regions...
Craniosynostosis is a serious and common pediatric disease caused by the premature fusion of sutures of the skull. Although studies have shown an increase in risk for cognitive deficits in patients with isolated craniosynostosis, the causal basis for this association is still unclear. It is hypothesized that an abnormally shaped skull produces a secondary deformation of the brain that results in the...
In this era of cross-sectional imaging, it is useful to think of the neck in terms of adjacent anatomical spaces separated by fascial layers extended from the skull base to the thoracic inlet. Although these layers are not usually visible in CT or MR images, their locations can be inferred by knowing their relationships to various anatomical structures that are visible in cross-sectional images. Identifying...
We present a novel technique for segmenting blood vessels in ultrasound color Doppler images based on shape decomposition. Ultrasound color Doppler images frequently suffer from a vessel linking artifact called 'color bleeding'. The proposed technique decomposes a complex binary object representing either two or more vessels artificially linked together or a main vessel with its branches. The resulting...
The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient's biomedical images will contribute greatly to the success of radiation therapy and drastically reduce the workload of radiation oncologists, who currently...
The analysis of single unit recording data requires a spike sorting method to separate blended neuronal spikes into separate neuron classes. A new template matching method for spike sorting based on shape distributions and a weighted Euclidean metric is proposed. The data is first roughly clustered using a Euclidean distance metric. Then the Levenberg-Marquardt method is used to estimate the variances...
Craniosynostosis is a serious condition of childhood, caused by the early fusion of the sutures of the skull. The resulting abnormal skull development can lead to severe deformities, increased intra-cranial pressure, as well as vision, hearing and breathing problems. In this work we develop a novel approach to accurately classify deformations caused by metopic and isolated sagittal synostosis. Our...
Cortical stimulation mapping (CSM) studies have shown cortical locations for language function are highly variable from one subject to the next. If individual variation can be normalized, patterns of language organization may emerge that were heretofore hidden. In order to uncover these patterns, computer-aided spatial normalization to a common atlas is required. Our goal was to determine a methodology...
An optimization approach to automatic sensor and light source positioning for a machine vision task, where geometric measurement and/or object verification is important, is discussed. The goal of the vision task is assumed to be specified in terms of measurements related to edges. The optimal sensor and light source positions are defined in such a way that when the sensor and light source are placed...
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