New York University

Artem Mikheev

Henry Rusinek

Uzma Samadani

Abdullah Bin Zahid

To that end, in order to overcome some of the deficiencies presented herein above, an exemplary system, method and computer-accessible medium for determining an attribute(s) of a brain of a patient, can include, for example, receiving information obtained from a computed tomography ('CT') scan(s) of a portion(s) of the brain, generating a CT image(s) that can be based on the information, and determining the attribute(s) of the brain based on the CT image(s) by segmenting an intracranial space (ICS) in the CT image(s). The attribute(s) can include a presence or absence of Alzheimer's disease, total volume of the ICS, brain, CSF or a lesion or the volumes of ICS, brain, CSF or lesion(s) expressed as a percentage of other volume(s). The aforementioned areas can be segmented using a combination of thresholding, morphological erosions, morphological dilations, manual segmentation or semi-automatic segmentation techniques, all of which can be parallel procedures. These attributes can be further used to determine treatment, for example, optimizing the location of the twist drill craniotomy to drain hematoma in subdural hematoma.

System, method and computer-accessible medium for the determination of accelerated brain atrophy and an optimal drainage site for a subdural hematoma using computed tomography

A logic arrangement, system and method for segmentation using magnetic resonance imaging ('MRI') are provided. For example, as an end product, an image associated with at least one portion of an anatomical structure is generated. In particular, first data associated with the at least one portion of the anatomical structure is received. Second data can be associated with at least one edge of at least one of the at least one portion is obtained based on the first data. The image can be generated based on the first data and the second data. In addition or as an alternative, it is also possible to generate the image using connected voxel components. Such components are created by processing information associated with an erosion of surface voxels of an image.

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New York, NY, United States of America

Artem Mikheev