Method for calculating local specific energy absorption rate (SAR) in nuclear magnetic resonance

US9229074B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9229074-B2
Application numberUS-201013514611-A
CountryUS
Kind codeB2
Filing dateDec 28, 2010
Priority dateDec 31, 2009
Publication dateJan 5, 2016
Grant dateJan 5, 2016

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  2. Abstract

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Abstract

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A method and system for calculating a local specific energy absorption rate (SAR) is based on an electric parameter and the mass density of a segmented geometry of an object and a magnetic field vector distribution of a radio frequency (RF) antenna. The values of the electric parameter and the mass density are pre-determined values, while the magnetic field vector distribution is estimated by a magnetic field mapping method based on a magnetic resonance (MR) scan, such as a B 1 mapping method.

First claim

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The invention claimed is: 1. A method for in vivo calculating a local specific energy absorption rate based on an electric parameter and a mass density of a segmented geometry of an object and a magnetic field vector distribution of a radio frequency antenna, the method comprising acts of: segmenting an image of the object to obtain the segmented geometry of the object; obtaining pre-determined values of the electric parameter and the mass density taken from literature for tissue similar to a tissue of interest within the object included in the segmented geometry to be irradiated with radio frequency power for obtaining images of the tissue of interest; assigning the pre-determined values to the tissue of interest; performing a magnetic resonance scan; estimating the magnetic field vector distribution by a magnetic field mapping method based on the magnetic resonance scan performed by a scanner; and in vivo calculating the local specific energy absorption rate specific to the scanner and to an anatomy and a position of the object based on the pre-determined values of the electric parameter and the mass density assigned to the tissue of interest and the estimated magnetic field vector distribution. 2. The method as claimed in claim 1 , wherein the segmented geometry of the object is obtained from a survey scan of the object. 3. The method as claimed in claim 1 , wherein a B 1 mapping method is used for the magnetic field mapping method based on the magnetic resonance scan. 4. The method as claimed in claim 3 , wherein the estimating act estimates the magnetic field vector distribution from a measurement of a H + component of a B 1 field and wherein a H − component and Hz component of the B 1 field are considered to be null. 5. The method as claimed in claim 1 , wherein the electric parameter includes the electric conductivity and permittivity of the segmented geometry. 6. A magnetic resonance system comprising: a magnet for generating a magnetic field in an examination region; a radio frequency antenna for emitting a radio frequency field in the examination region and receiving an induced magnetic resonance signal from the examination region; and a specific energy absorption rate calculation processor for in vivo calculating a specific energy absorption rate for an object accommodated in the examination region based on both an estimate of the magnetic field obtained from the received induced magnetic resonance signal and an electric parameter of a tissue of interest within the object and a mass density of the tissue of interest as assigned to a segmented object's geometry, wherein the electric parameter and the mass density are obtained from a database including values that are assigned to the electric parameter of the tissue of interest at a magnetic resonance Larmor Frequency and the mass density of the tissue of interest. 7. The magnetic resonance system as claimed in claim 6 , wherein the segmented geometry of the object is obtained from a survey scan of the object. 8. The magnetic resonance system as claimed in claim 6 , wherein a B 1 mapping method is used for the estimate of the magnetic field. 9. The magnetic resonance system as claimed in claim 8 , wherein the estimate of the magnetic field is obtained from a measurement of a H + component of a B 1 field and wherein a H − component and Hz component of the B 1 field are considered to be null. 10. The magnetic resonance system as claimed in claim 6 , wherein the electric parameter includes the electric conductivity and permittivity of the segmented geometry. 11. The magnetic resonance system as claimed in claim 6 , wherein the pre-determined values of the electric parameter and the mass density are taken from literature. 12. The magnetic resonance system as claimed in claim 6 , wherein the system comprises a user interface for identifying at least one region of interest for which the specific energy absorption rate is to be determined in vivo by the specific energy absorption rate calculation processor. 13. A non-transitory computer readable medium comprising computer instructions which, when executed by a processor, configure the processor to perform a method for in vivo calculating a local specific energy absorption rate based on an electric parameter and a mass density of a segmented geometry of an object and a magnetic field vector distribution of a radio frequency antenna, comprises acts of: segmenting an image of the object to obtain the segmented geometry of the object obtaining pre-determined values of the electric parameter and the mass density taken from literature for tissue similar to a tissue of interest within the object included in the segmented geometry to be irradiated with radio frequency power for obtaining images of the tissue of interest; assigning the pre-determined values to the tissue of interest; performing a magnetic resonance scan; estimating the magnetic field vector distribution by a magnetic field mapping method based on the magnetic resonance scan performed by a scanner; and in vivo calculating the local specific energy absorption rate specific to the scanner and to an anatomy and a position of the object based on the pre-determined values of the electric parameter and the mass density assigned to the tissue of interest and the estimated magnetic field vector distribution.

Assignees

Inventors

Classifications

  • Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels (image data processing or generation, in general G06T) · CPC title

  • G01R33/288Primary

    Provisions within MR facilities for enhancing safety during MR, e.g. reduction of the specific absorption rate [SAR], detection of ferromagnetic objects in the scanner room · CPC title

  • Spatial mapping of the RF magnetic field B1 · CPC title

  • Interface between the MR system and the user, e.g. for controlling the operation of the MR system or for the design of pulse sequences · CPC title

  • Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription (G01R33/546 takes precedence) · CPC title

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What does patent US9229074B2 cover?
A method and system for calculating a local specific energy absorption rate (SAR) is based on an electric parameter and the mass density of a segmented geometry of an object and a magnetic field vector distribution of a radio frequency (RF) antenna. The values of the electric parameter and the mass density are pre-determined values, while the magnetic field vector distribution is estimated by a…
Who is the assignee on this patent?
Voigt Tobias Ratko, Katscher Ulrich, Homann Hanno Heyke, and 1 more
What technology area does this patent fall under?
Primary CPC classification G01R33/288. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 05 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).