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Researchers Submit Patent Application, "Apparatus and Method for Acquiring Multi-Parametric Images in Magnetic Resonance Imaging Device", for Approval

June 27, 2014



By a News Reporter-Staff News Editor at Health & Medicine Week -- From Washington, D.C., NewsRx journalists report that a patent application by the inventors SEONG, Yeong-Kyeong (Yongin-si, KR); LEE, Jong-Ha (Yongin-si, KR); CHOE, Won-Hee (Seoul, KR), filed on December 2, 2013, was made available online on June 12, 2014 (see also Samsung Electronics Co., Ltd.).

The patent's assignee is Samsung Electronics Co., Ltd.

News editors obtained the following quote from the background information supplied by the inventors: "The following description relates to an apparatus and a method for acquiring multi-parametric images on the basis of disease from Magnetic Resonance Imaging (MRI) device.

"Magnetic Resonance Imaging (MRI) is a medical imaging technique used in radiology to visualize internal structures of the body in detail. MRI makes use of the property of nuclear magnetic resonance (NMR) to image nuclei of atoms inside of the body. Proton magnetic resonance refers to excitation and relaxation by electromagnetic wave of a proton within a positive field, and an MR signal refers to electromagnetic wave relaxed by the proton, and an MRI image is a result of visualizing the MR signal. There are various MRI techniques using different variables, and a number of contrast-type images may be acquired by adjusting the variables. Various types of contrast, including proton density, T1 relaxation time, T2 relaxation time, magnetic susceptibility, chemical shift, chemical exchange, diffusion of water molecule, and elasticity, may weight an MRI image. In addition, each contrast-type image makes use of a specific variable. Thus, many images of diverse variables can be acquired using a method for acquiring multi-parametric images where variables of an image are adjusted.

"As such, an MRI device may acquire multi-parametric images of various physical properties to diagnose a disease by analyzing the multi-parametric images, and thus the accuracy of diagnosis may improve. However, the MRI device still heavily depends on a heuristic model to obtain contrast-type images optimized in diagnosing a specific disease."

As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors' summary information for this patent application: "This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

"In one general aspect an apparatus for acquiring multi-parametric images, the apparatus including an image analyzer configured to determine a significance level of each of a plurality of multi-parametric images relating to a disease, and to determine an acquisition order of the multi-parametric images and the multi-parametric images to be used in diagnosing the disease; and a model constructer configured to construct an acquisition model of the multi-parametric images based on the acquisition order and the multi-parametric images to be used in diagnosing the disease.

"The apparatus for acquiring multi-parametric images may include an image acquirer configured to acquire the multi-parametric images using the constructed acquisition model of the multi-parametric images.

"The apparatus for acquiring multi-parametric images may include a model store configured to store the acquisition model of the multi-parametric images.

"The image analyzer may include a Region of Interest (ROI) extractor configured to extract an ROI from each of the plurality of multi-parametric images, and a feature extractor configured to extract a feature from the ROI; and the image analyzer may be further configured to determine the significance level of each of the plurality of multi-parametric images based on the extracted features.

"The apparatus for acquiring multi-parametric images may include a feature analyzer configured to determine whether the extracted feature is significant.

"The apparatus for acquiring multi-parametric images may include an image optimizer configured to normalize the ROI; and the feature extractor may extract the feature from the normalized ROI.

"The image optimizer may be further configured to remove noise from the normalized ROI, and the feature extractor extracts the feature from the normalized ROI where the noise is removed.

"The features may comprise one or more pieces of information about shape, brightness, or boundary.

"The image analyzer may determine the significance level of each of the plurality of multi-parametric images based on a number of significant features in each multi-parametric image for diagnosing the disease.

"The number of significant features may be determined based on frequency of the features in multi-parametric images of patients suffering from a same disease.

"The image analyzer may determine that the multi-parametric image is to be used in diagnosing the disease when the number of significant features in each multi-parametric image exceeds a threshold.

"The apparatus for acquiring multi-parametric images may include an image store configured to store the multi-parametric images.

"In another general aspect, a method for acquiring multi-parametric images, the method including determining, at an image analyzer, a significance level of each of a plurality of multi-parametric images relating to a disease; determining, based on the determined significance levels, an acquisition order of the multi-parametric images and the multi-parametric images to be used in diagnosing the disease; and constructing an acquisition model of the multi-parametric images based on the acquisition order and the multi-parametric images to be used in diagnosing the disease.

"The method for acquiring multi-parametric images may include acquiring the multi-parametric images for diagnosing the disease, by using the constructed acquisition model of the multi-parametric images.

"The determining of the significance level may include extracting a ROI from each of the multi-parametric images; extracting a feature from the ROI; and determining the significance level of each of the multi-parametric images based on the extracted feature.

"The determining of the significance level may include normalizing the ROI, and extracting the feature from the normalized ROI.

"The determining of the significance level may include removing noise from the normalized ROI, and extracting the feature from the normalized ROI where noise is removed.

"The features may include one or more pieces of information about shape, brightness, or boundary.

"The determining of a significance level may include determining a significance level of each of the plurality of multi-parametric images based on a number of significant features in each multi-parametric image.

"The number of significant features may be determined based on frequency of the features in multi-parametric image of multiple patients suffering from a same disease.

"The determining of the significance level may include using each multi-parametric image in diagnosing the disease when the number of significant features in the multi-parametric image exceeds a threshold.

"The determining an acquisition order may include assigning a weighted value to each of the multi-parametric images; determining the acquisition order of the multi-parametric images by multiplying the weighted value by the number of significant features in the multi-parametric image.

"In another general aspect, an apparatus for acquiring multi-parametric images, the apparatus including an image analyzer configured to determine an acquisition order of the multi-parametric images and the multi-parametric images to be used in diagnosing the disease; a model constructer configured to construct an acquisition model of the multi-parametric images based on the acquisition order and the multi-parametric images to be used in diagnosing the disease; and an image acquirer configured to acquire the multi-parametric images based on the acquisition model.

"A model store may be configured to store the acquisition model of the multi-parametric images.

"The image analyzer may include a Region of Interest (ROI) extractor configured to extract an ROI from each of the plurality of multi-parametric images; a feature extractor configured to extract a feature from the ROI; and a feature analyzer configured to determine whether the extracted feature is significant.

"The image analyzer may be configured to determine a significance level of each of the plurality of multi-parametric images based on the based on a number of significant features in each multi-parametric image; and the image analyzer may be configured to determine the acquisition order and the multi-parametric images to be used in diagnosing the disease based on the significance level of each of the plurality of multi-parametric images.

"The apparatus for acquiring multi-parametric images may include an image optimizer configured to normalize the ROI; and the feature extractor extracts the feature from the normalized ROI.

"Other features and aspects will be apparent from the following detailed description, the drawings, and the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

"FIG. 1 is a diagram illustrating an example of multi-parametric image acquisition apparatus.

"FIG. 2 is a diagram illustrating an example of an image analyzing unit of the apparatus for acquiring multi-parametric images shown in FIG. 1.

"FIGS. 3A to 3E are diagrams illustrating examples of determining the acquisition order of multi-parametric images.

"FIG. 4 is a diagram illustrating an example of a method for acquiring multi-parametric images.

"FIG. 5 is a diagram illustrating an example of a process of determining significance levels of multi-parametric images according to the method of FIG. 4.

"Throughout the drawings and the detailed description, unless otherwise described, the same drawing reference numerals will be understood to refer to the same elements, features, and structures. The relative size and depiction of these elements may be exaggerated for clarity, illustration, and convenience."

For additional information on this patent application, see: SEONG, Yeong-Kyeong; LEE, Jong-Ha; CHOE, Won-Hee. Apparatus and Method for Acquiring Multi-Parametric Images in Magnetic Resonance Imaging Device. Filed December 2, 2013 and posted June 12, 2014. Patent URL: http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&u=%2Fnetahtml%2FPTO%2Fsearch-adv.html&r=3665&p=74&f=G&l=50&d=PG01&S1=20140605.PD.&OS=PD/20140605&RS=PD/20140605

Keywords for this news article include: Electromagnet, Magnetic Resonance, Samsung Electronics Co. Ltd.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Health & Medicine Week


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