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We evaluated the therapeutic effects of anti-gravity locomotor treadmill (AlterG) training on postural stability in children with Cerebral Palsy (CP) and spasticity, particularly in the lower extremity. AlterG can facilitate walking by reducing the weight of CP children by up to 80%; it can also help subjects maintain an appropriate posture during the locomotor AlterG training. Thus, we hypothesized...
Accurate estimation of volumes for cerebrospinal fluid (CSF) and brain before and after surgery (pre-op and post-op) plays an important role in analyzing treatment for hydrocephalus. This in turn, relies upon segmentation of brain imagery into brain tissue and CSF. Segmentation of preop images is a relatively straightforward problem and has been well researched. However, segmenting post-op CT-scans...
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...
Quantitative brain tissue volumes from neonatal magnetic resonance imaging (MRI) offer the possibility of improved clinical decision making and diagnosis. However, the neonatal brain presents specific challenges to automated segmentation algorithms. We developed a new method for automatic labeling of neonatal brain MR images. The method uses a new sparsity-based atlas selection strategy that requires...
Diagnosis of white matter damage by neonatal cranial ultrasound (CrUS) is subject to inter-observer variability and has a low sensitivity to detect late abnormal neurodevelopment in life. In the last decades there have been a significant effort reporting that statistical features of ultrasound images carry important information associated with changes of tissue microstructure. In this work we explored...
This paper addresses three questions: How does human memory work? How could I build a memory like that? How could I use it to solve practical problems?
Virtual reality (VR) has enormous potential as an adjunct in therapy. VR has many of the parameters shown to be effective in motor learning. It induces brain plasticity and benefits may be transferable to the physical world. We describe a novel approach to the rehabilitation of the upper limb using video-capture virtual reality technology.
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