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This paper describes an automatic technique to segment the ventricles from brain MRI of young children. The segmentation approach involves skull stripping, extraction of the total cerebrospinal fluid (CSF), isolation of extra-cerebral CSF, removal of CSF in the sulci and fissures and final ventricle segmentation. The segmentation achieves a mean Dice ratio of 0.9246, sensitivity of 0.9363 and specificity...
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...
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...
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
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