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The WHO 2007 classification of tumors of the CNS distinguishes between diffuse astrocytoma WHO grade II (A IIWHO2007) and anaplastic astrocytoma WHO grade III (AA III WHO2007). Patients with A II WHO2007 are significantly younger and survive significantly longer than those with AA III WHO2007. So far, classification and grading relies on morphological(More)
Schwannomas are common peripheral nerve sheath tumors that can cause debilitating morbidities. We performed an integrative analysis to determine genomic aberrations common to sporadic schwannomas. Exome sequence analysis with validation by targeted DNA sequencing of 125 samples uncovered, in addition to expected NF2 disruption, recurrent mutations in(More)
Electrical impedance tomography (EIT) produces an image of internal conductivity distributions in a body from current injection and electrical measurements at surface electrodes. Typically, image reconstruction is formulated using regularized schemes in which ℓ2-norms are used for both data misfit and image prior terms. Such a formulation is computationally(More)
An automated test system and procedure is proposed, designed to enable systematic testing of electrical impedance tomography (EIT) devices. The system is designed to calculate reliable, repeatable and accurate performance figures of merit of an EIT system using a saline phantom and an industrial robot arm. Applications of the test system are to compare EIT(More)
Several noninvasive modalities including electrical impedance tomography (EIT), magnetic induction tomography (MIT), and induced-current EIT (ICEIT) have been developed for imaging the electrical conductivity distribution within a human body. Although these modalities differ in how the excitation and detection circuitry (electrodes or coils) are(More)
In this paper we propose a fast brain computer interface speller based on electroencephalography (EEG). The slow performance of conventional BCI spellers is overcome by combining the fast motor evoked potentials (MEPs) with the accuracy of P300 event related potentials. The μ rhythms associated with motor imagery are extracted using morlet wavalet(More)
Electrical impedance tomography (EIT) is a noninvasive method to image conductivity distributions within a body. One promising application of EIT is to monitor ventilation in patients as a real-time bedside tool. Thus, it is essential that an EIT system reliably provide meaningful information, or alert clinicians when this is impossible. Because the(More)
—Electrical Impedance Tomography (EIT) has potential for imaging of the head to image cerebral edema and stroke, and to assist the EEG inverse problem. One key challenge is the low distinguishability of head EIT. In this paper, we develop a strategy to improve distinguishability by optimizing electrode configurations and stimulation and measurement(More)