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Medulloblastoma (MB) is the most common brain tumor in children. There are four distinct subtypes of MB, but patients with anaplastic/large cell have the worst prognosis. Since the morbidity is highly correlated with treatment for MB, the ability to distinguish aggressive (such as anaplastic/large cell) MB is crucial. We present a scheme that leverages quantitative image texture features (Haar, Haralick,...
Medulloblastoma (MB) is the most common brain tumor in children. Recent studies have demonstrated a relationship between specific signaling pathway abnormalities, a tendency to more favorable outcomes, and a histopathological feature: nodular growth patterns. In this work we present a new segmentation scheme which requires minimal user interaction to segment nodules on MB histopathological sections...
We present an automated method of spatially detailed 3D asymmetry quantification of face surfaces obtained in a stereophotogrammetric system, and the method was applied to a population of children with juvenile idiopathic arthritis (JIA) who have involvement of one temporomandibular joint (TMJ). Non-rigid registration of a patient face surface to a mirrored version of the same face surface provided...
Motion is one of the most important characteristics in clinical epileptology. In developing an integrated motion analysis system for epileptic patients or children with neurological disorders (e.g. ADHD) we surveyed and analyzed current efforts in vision-based human motion analysis in epilepsy as well as all possible forms of motion typically encountered in known epileptic syndromes. This paper presents...
Overlapping threshold of costal cartilage and muscle tissue is the main issue of pectus excavatum(PE) modeling all the time. A rapid and accurate three dimensional (3D) model was described based on Mimics10.01. The contrast of thorax CT image can be strengthened in advance. The pixels of rigid skeleton and costal cartilage were separated by threshold segment, therefore, we could get rigid skeleton'3D...
Recently, there has been an increased concern regarding the effects of electromagnetic radiation emanating from wireless communication devices on the health of children. In order to determine safe levels of exposure, we intend to use computer simulations and numerical human models to estimate the specific absorption rate (SAR) in young children. However, only a few of the existing numerical models...
In this paper we evaluate different meshing schemes to solve for the bioelectric fields that arise in the human body due to the defibrillation shock generated by an Implantable Cardiac Defibrillator, with particular emphasis on implantation in children. For children, the question of relative performance of different electrode locations remains open. Computational simulation is a critical tool to address...
Peripheral neuroblastic tumors (pNTs) make the most commonly encountered tumor groups in children. Neuroblastoma, one of the categories in pNTs, is known to have unique biological behaviors with variable clinical prognoses of the patients. Part of the neuroblastoma prognosis is closely related with grade of neuroblastic differentiation. In this work, we present an automatic classification system that...
Hemodynamic parameters of the pulmonary circulation are important reference factors in the diagnoses and treatments of children 's cardiovascular diseases. These parameters are usually measured by the cardiac catheterization. Recently several noninvasive methods have been proposed to estimate these parameters using the ultrasound technique. In order to execute the noninvasive estimation automatically,...
Building of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable object segmentation and object classification. Recent developments in image averaging, i.e. constructing an image which is central within the population, focus on unbiased atlas building with nonlinear deformations. Groupwise...
Computed tomography is used as an aid in the diagnosis of tuberculous meningitis (TBM) for the examination of a number of visual indicators of the disease. We present an algorithm that uses modified fuzzy c-means clustering to segment CT images of the brain into different tissue types. The ventricle/brain ratio is then calculated to measure hydrocephalus, a common sign of TBM in children
The aim of this study was to extract quantifiable indices characterising the ultrasound propagation and scattering in skeletal muscle, using a real-time linear array scanner in regular diagnostic use in a paediatric muscle clinic. The work attempts to quantify earlier observations, based on conventional imaging, that muscle echogenicity was increased in children with muscle disease, and that this...
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