Adm Diagnostics, Inc.

Sunnybrook Research Institute

Baycrest Centre for Geriatric Care

Stephen C Strother

Miles N Wernick

Ana S Lukic

Dawn C Matthews

Randolph D Andrews

Simon James Graham

Tom Andreas Schweizer

Fred Tam

Mahta Karimpoor

Systems and methods for use in identifying a brain condition of a subject are provided. In some aspects, a provided method includes constructing a classifier to identify a brain condition of a subject comprising steps of receiving image data obtained from a plurality of subjects, wherein the image data is acquired during an acquisition period following administration of at least one radioactive tracer. The method also includes defining a plurality of brain condition classes using the image data associated with one or more time frames during the acquisition period, and processing the image data to generate signatures corresponding to each of the plurality brain condition classes. The method further includes constructing the classifier using the signatures. The classifier can then be applied to determine a degree to which the subject expresses one or more disease states in order to determine a brain condition of the subject.

Systems and methods for determining a brain condition of a subject using early time frame PET image analysis

Determining a brain condition using early time frame PET image analysis

Systems and methods of are disclosed for providing visual feedback to a subject during magnetic resonance imaging, where the visual feedback is associated with input provided by the subject to a magnetic resonance compatible touch panel. A video camera is employed to record video images of the interaction between the subject and the touch panel, and the video images are processed to generate a real-time video signal including a rendering of the input provided to the touch panel and the interaction between the subject's hands and the touch panel. The real-time video signal is provided to the subject as visual feedback, and is displayed within a time duration that is sufficiently fast to avoid the detection of the visual feedback as an error signal with the subject's brain in relation to the sense of proprioception. A measurement of the force applied to the touch panel by the subject may be recorded and employed when rendering the real-time video. The systems and methods may be employed for a wide range of diagnostic and therapeutic procedures involving magnetic resonance imaging.

Systems and methods for providing visual feedback of touch panel input during magnetic resonance imaging

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Toronto, Canada

Stephen C Strother