University Health Network

Lawrence M White

Marshall Stephen Sussman

Graham Arnold Wright

Norman Young

Naeem Merchant

Gustav Andreisek

A method, system and user interface for synthetic image generation for magnetic resonance (MR) imaging is described. A plurality of MR imaging data sets is received, each data set being acquired at a different value for a MR acquisition parameter. A response value for a particular property of tissues is determined, based on a calculated fit of each pixel to a property response model. A synthetic image is generated for a selected value of the MR acquisition parameter, based on the determined response value. An option is provided to dynamically change the selected value of the MR acquisition parameter and the synthetic image is re-generated for the changed value. An option may be provided to dynamically change the value. Another option may be provided to calculate a reliability measure for the synthetic image.

Method of synthetic image generation for magnetic resonance imaging

An MRI system and method for acquiring motion-compensated MR image data of an object. The MRI system includes an MRI device for generating a uniform magnetic field through the object, magnetic field gradients for imaging a portion of the object and an RF excitation field for evoking NMR response signals from the object; a computer for controlling the operation of the MRI system; a motion compensation module for generating a plurality of navigator waveforms for evoking a corresponding plurality of navigator echoes from the portion of the object while the object is being imaged, and processing the plurality of navigator echoes by determining a subset of similar navigator echoes and removing rigid-body translation from the NMR response signals associated with the subset of similar navigator echoes; and, interface circuitry for generating the magnetic gradient, RF and navigator waveforms and sampling the NMR response signals and the plurality of navigator echoes.

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Toronto, Canada

Lawrence M White