University of Virginia Patent Foundation

Koninklijke Philips Corporation N.V.

General Electric Company

Leland Stanford Junior University

University of California

Max Wintermark

Craig H Meyer

Samuel W Fielden

Li Zhao

Joerg Bredno

John P Mugler, Iii

Frederick H Epstein

Xiao Chen

Manal Nicolas-Jilwan

Saad Ahmed Sirohey

Paul Edgar Licato

Xue Feng

Kim Butts Pauly

Tamanna Nanavaty Bembenek

Edward H Bertram

Kevin S Lee

Wilson Miller

Aspects of the present disclosure relate to systems and methods for medical imaging that incorporate prior knowledge. Some aspects relate to incorporating prior knowledge using a non-local means filter. Some aspects relate to incorporating prior knowledge for improved perfusion imaging, such as those incorporating arterial spin labeling.

Systems and methods for medical imaging incorporating prior knowledge

Methods and systems are described for producing non-invasive and targeted neuronal lesions using magnetic resonance and acoustic energy. Imaging data corresponding to a region of interest is obtained, the region of interest within an imaging subject. Information indicative of a target region within the region of interest is received from the obtained imaging data. Focused acoustic energy directed to the target region within the region of interest is generated to disrupt a barrier between a therapeutic agent and parenchymal tissue in response to insonification by the focused acoustic energy, the therapeutic agent comprising a neurotoxin and microbubbles.

Methods and systems for producing neuronal lesions using magnetic resonance and acoustic energy

Aspects of the present disclosure relate to magnetic resonance thermometry. In one embodiment, a method includes acquiring undersampled magnetic resonance data associated with an area of interest of a subject receiving focused ultrasound treatment, and reconstructing images corresponding to the area of interest based on the acquired magnetic resonance data, where the reconstructing uses Kalman filtering.

Systems and methods for accelerated MR thermometry

Systems and methods for accelerated arterial spin labeling (ASL) using compressed sensing are disclosed. In one aspect, in accordance with one example embodiment, a method includes acquiring magnetic resonance data associated with an area of interest of a subject, wherein the area of interest corresponds to one or more physiological activities of the subject. The method also includes performing image reconstruction using temporally constrained compressed sensing reconstruction on at least a portion of the acquired magnetic resonance data, wherein acquiring the magnetic resonance data includes receiving data associated with ASL of the area of interest of the subject.

Systems and methods for accelerated arterial spin labeling using compressed sensing

A method includes obtaining both first inflow and first perfusion metrics for non-healthy tissue of interest, obtaining both second inflow and second perfusion metrics for healthy tissue of interest, and concurrently presenting both the first flow and perfusion metrics for the non-healthy tissue of interest and both the second flow and perfusion metrics for the healthy tissue of interest.

Collateral blood flow assessment

A system includes a perfusion information determiner () that determines perfusion information based on a combination of pre-perfusion scan image data and perfusion scan image data.

Perfusion imaging

A method includes determining, via a processor, functional information about tissue of interest in image data for a functional image acquisition based on reference information generated based on non-tissue of interest.

Functional imaging

A method for enhancing images of an object includes registering a fixed image with cine images of the same object. Next, the fixed image and the cine images are transformed into frequency space representations thereof. A central portion of the frequency space cine images are merged with a peripheral portion of frequency space fixed image using a defined normalized response curve or a predefined normalized response curve (or both) to form a merged image. Finally, the method includes inversely transforming the merged image into enhanced cine images of the object.

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Charlottesville, VA, United States of America

Max Wintermark