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Patent Issued for Motion Tracking for Clinical Parameter Derivation and Adaptive Flow Acquisition in Magnetic Resonance Imaging

August 11, 2014



By a News Reporter-Staff News Editor at Cardiovascular Week -- According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Guetter, Christoph (Lawrenceville, NJ); Guhring, Jens (Erlangen, DE); Jolly, Marie-Pierre (Hillsborough, NJ); Lu, Xiaoguang (West Windsor, NJ); Xue, Hui (Franklin Park, NJ); Collins, Jeremy (Chicago, IL); Weale, Peter (Menith Wood, GB), filed on September 22, 2011, was published online on July 29, 2014 (see also Siemens Aktiengesellschaft).

The assignee for this patent, patent number 8792699, is Siemens Aktiengesellschaft (Munich, DE).

Reporters obtained the following quote from the background information supplied by the inventors: "The present disclosure relates to magnetic resonance imaging (MRI) and, more specifically, to motion tracking for clinical parameter derivation and adaptive flow acquisition in MRI.

"Magnetic resonance angiography (MRA) is a field of medical imaging that uses magnetic resonance imaging (MRI) to study blood vessels. One particular example of MRA is phase-contrast flow acquisition, also known as phase-contrast MRA. In phase-contrast flow acquisition the flow of blood through vessels may be imaged and analyzed to provide imagery and to quantify various parameters such as the speed of blood flow. The resulting imagery and quantified parameters may have significant diagnostic value and may facilitate life-saving intervention."

In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors' summary information for this patent: "A method for performing flow acquisition within a sequence of magnetic resonance images includes commencing an acquisition of a sequence of images. One or more landmarks are automatically detected from within one or more images of the sequence of images. The detected one or more landmarks are propagated across subsequent images of the sequence of images. An image acquisition plane is fitted to the propagation of landmarks. One or more flow properties are determined from the sequence of images within the fitted image acquisition plane.

"A method for determining tissue velocities within a sequence of magnetic resonance images includes commencing an acquisition of a sequence of images. One or more landmarks are automatically detected from within one or more images of the sequence of images. The detected one or more landmarks are propagated across subsequent images of the sequence of images. An image acquisition plane is fitted to the propagation of landmarks. One or more tissue velocities are determined from the sequence of images within the fitted image acquisition plane.

"Determining one or more tissue velocities may include determining one or more clinical parameters. Additionally, or alternatively, determining one or more tissue velocities includes determining an S' velocity, an A' velocity, or an E' velocity.

"The sequence of images may include a sequence of magnetic resonance (MR) image frames. The one or more landmarks may include a point of the mitral valve, a point of the tricuspid valve, or a point of the aortic valve. The detection of the landmarks may be performed in conjunction with detection of one or more apex points of the myocardium and the detection of the apex points may be used to bolster the detection of the valve points by providing additional anchoring points.

"The detected one or more landmarks may be propagated over all phases of a cardiac cycle. The propagation of the one or more landmarks may include transforming a landmark from a starting phase to another phase using deformation fields. The deformation fields may be computed using an inverse-consistent deformable registration algorithm.

"Determining the one or more flow properties may include determining a mitral valve annulus velocity. Determining the one or more flow properties may include determining a velocity of each landmark computed from the propagated movement of the landmark from one phase to another within the image acquisition plane. Determining the one or more flow properties may include determining an S' velocity, an A' velocity, or an E' velocity.

"The one or more landmarks may include a mitral valve insertion point and an extent of a left ventricle may be derived from the propagated location of the mitral valve insertion point.

"Propagating the detected one or more landmarks may include modeling or forecasting where each of the landmarks are likely to be found based on where they have been most recently and at other occasions at a similar point within the cardiac cycle.

"Fitting the image acquisition plane to the propagation of landmarks may include finding a plane that minimizes an orthogonal distance between the landmarks and the plane and occupies a point that is calculated to be the center of all landmarks taken together.

"A system for performing flow acquisition within a sequence of magnetic resonance images includes a medical imaging device for commencing an acquisition of a sequence of images. An image processing device includes a landmark detection module, a propagation module, and a structure fitting module. The landmark detection module automatically detects one or more landmarks from within one or more images of the sequence of images. The propagation module propagates the detected one or more landmarks across subsequent images of the sequence of images. The structure fitting module fits a geometric plane to the propagation of landmarks.

"A method for deriving mitral annulus velocity within a sequence of magnetic resonance images includes commencing an acquisition of a sequence of images, automatically detecting one or more mitral valve insertion points, propagating the detected mitral valve insertion points across subsequent images of the sequence of images, fitting a plane to the propagation of valve insertion points, and determining a velocity of the mitral annulus from the sequence of images within the fitted plane.

"The method may additionally include determining an extent of a left ventricle from the determined velocity of the mitral annulus.

"Fitting the valve plane to the propagation of the mitral valve insertion points may include finding a plane that minimizes an orthogonal distance between the mitral valve insertion points and the plane and occupies a point that is calculated to be the center of all mitral valve insertion points taken together.

"The detection of the mitral valve insertion points may be performed in conjunction with detection of one or more apex points of the myocardium and the detection of the apex points may be used to bolster the detection of the mitral valve insertion points by providing additional anchoring points.

"Propagation of the one or more mitral valve insertion points may include transforming the mitral valve insertion points from a starting phase to another phase using deformation fields that are computed using an inverse-consistent deformable registration algorithm.

"A method for determining clinical parameters within a sequence of images, includes commencing an acquisition of a sequence of images, automatically detecting one or more landmarks from within one or more images of the sequence of images, propagating the detected one or more landmarks across subsequent images of the sequence of images, and determining one or more clinical parameters from the propagation of landmarks."

For more information, see this patent: Guetter, Christoph; Guhring, Jens; Jolly, Marie-Pierre; Lu, Xiaoguang; Xue, Hui; Collins, Jeremy; Weale, Peter. Motion Tracking for Clinical Parameter Derivation and Adaptive Flow Acquisition in Magnetic Resonance Imaging. U.S. Patent Number 8792699, filed September 22, 2011, and published online on July 29, 2014. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=8792699.PN.&OS=PN/8792699RS=PN/8792699

Keywords for this news article include: Cardiology, Magnetic Resonance, Siemens Aktiengesellschaft.

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Source: Cardiovascular Week


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