WO2022131616A1 - Procédé et dispositif de restauration d'image de carte fonctionnelle pour système macrovasculaire et système microvasculaire structuraux au moyen d'informations préalables de polymorphisme de système vasculaire - Google Patents

Procédé et dispositif de restauration d'image de carte fonctionnelle pour système macrovasculaire et système microvasculaire structuraux au moyen d'informations préalables de polymorphisme de système vasculaire Download PDF

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WO2022131616A1
WO2022131616A1 PCT/KR2021/017745 KR2021017745W WO2022131616A1 WO 2022131616 A1 WO2022131616 A1 WO 2022131616A1 KR 2021017745 W KR2021017745 W KR 2021017745W WO 2022131616 A1 WO2022131616 A1 WO 2022131616A1
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macrovascular
microvascular
structural
magnetic resonance
vascular
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Korean (ko)
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박재석
박준식
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성균관대학교산학협력단
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Publication of WO2022131616A1 publication Critical patent/WO2022131616A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5601—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution involving use of a contrast agent for contrast manipulation, e.g. a paramagnetic, super-paramagnetic, ferromagnetic or hyperpolarised contrast agent
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables
    • G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48—NMR imaging systems
    • G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5608—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
    • G—PHYSICS
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular

Definitions

  • the present invention relates to a method and apparatus for image restoration of functional maps of structural macrovascular systems and microvascular systems using vascular polymorphism selection information.
  • Embodiments of the present invention are for simultaneously reconstructing functional map images of the structural macrovascular system and the microvascular system from contrast-enhanced magnetic resonance imaging data through the injection of a single contrast agent using the vascular polymorphism selection report.
  • An object of the present invention is to provide a method and apparatus for image restoration of functional maps of blood vessels and microvasculature.
  • an image restoration method performed by an image restoration apparatus, the method comprising: acquiring magnetic resonance image data in a space-time encoding region; separating the macrovascular system and the microvascular system from the acquired magnetic resonance image data based on the signal intensity in the time domain; and reconstructing a functional map of the structural macrovascular system and the microvascular system from the magnetic resonance imaging data.
  • An image restoration method of the functional map of the structural macrovascular system and the microvascular system using the polymorphism selection report of the vascular system may be provided.
  • magnetic resonance image data may be obtained from a single contrast enhancement data through a single contrast agent input.
  • the obtaining of the magnetic resonance image data may include obtaining the magnetic resonance image data using undersampling in a Cartesian lattice or an arbitrary undersampling method in a space-time encoding region.
  • Separating the macrovascular system and the microvascular system may include separating the macrovascular system and the microvascular system from the magnetic resonance image data in which static background image data is suppressed in the acquired magnetic resonance image data.
  • the macrovascular system and the microvascular system may be separated by sharing high-frequency data for a preset frequency band of a time around each frame in the acquired magnetic resonance image data.
  • the macrovascular system and the microvascular system may be separated by using a band filter function based on the signal intensity of the time domain of each pixel in the acquired magnetic resonance image data.
  • the band filter function may be defined using images of multiple tomography or images of multiple patients.
  • the weight of the penalty of a parameter related to image restoration to be applied to the macrovascular system and the microvascular system may be differently adjusted based on the vascular polymorphism selection report and applied to each vascular system.
  • the structural macrovascular system and the functional map of the microvascular system can be restored by combining the vascular polymorphism selection report and the unsupervised pattern analysis method of the microvascular system using the phase information of the magnetic resonance image data as prior information.
  • the structural macrovascular system and the functional map of the microvascular system may be restored by using any one unsupervised pattern analysis among principal component analysis, independent component analysis, and non-negative matrix decomposition.
  • a memory for storing one or more programs; and a processor executing the stored one or more programs, wherein the processor acquires magnetic resonance image data in a spatio-temporal encoding region, and based on the signal strength in the time domain from the obtained magnetic resonance image data, the macrovascular system and microscopic
  • An apparatus for reconstructing an image of a functional map of a structural macrovascular system and a microvascular system using a polymorphism selection report of the vascular system can be provided, which separates the vascular system and restores the functional map of the structural macrovascular system and the microvascular system from the magnetic resonance imaging data.
  • the processor may acquire magnetic resonance image data from a single contrast enhancement data through a single contrast agent input.
  • the processor may acquire magnetic resonance image data in the space-time encoding region by using undersampling in a Cartesian lattice or an arbitrary undersampling method.
  • the processor may separate the macrovascular system and the microvascular system from the magnetic resonance image data in which the static background image data is suppressed in the acquired magnetic resonance image data.
  • the processor may separate the macrovascular system from the microvascular system by sharing high-frequency data for a preset frequency band of time around each frame in the acquired magnetic resonance image data.
  • the processor may separate the macrovascular system from the microvascular system by using a band filter function based on the signal intensity of the time domain of each pixel in the acquired magnetic resonance image data.
  • the band filter function may be defined using images of multiple tomography or images of multiple patients.
  • the processor may adjust the weight of a penalty of a parameter related to image restoration to be applied to the macrovascular system and the microvascular system differently based on the vascular polymorphism selection information and apply it to each vascular system.
  • the processor may restore the structural macrovascular system and the functional map of the microvascular system by combining the vascular polymorphism selection information and the unsupervised pattern analysis method of the microvascular system using the phase information of the magnetic resonance image data as prior information.
  • the processor may reconstruct the functional maps of the structural macrovascular system and the microvascular system by using any one unsupervised pattern analysis among principal component analysis, independent component analysis, and non-negative matrix decomposition.
  • a non-transitory computer-readable storage medium for storing instructions that, when executed by a processor, cause the processor to execute a method, the method comprising: magnetic resonance in a space-time encoding region. acquiring image data; separating the macrovascular system and the microvascular system from the acquired magnetic resonance image data based on the signal intensity in the time domain; and reconstructing a functional map of a structural macrovascular system and a microvascular system from the magnetic resonance image data.
  • a non-transitory computer-readable storage medium may be provided.
  • the disclosed technology may have the following effects. However, this does not mean that a specific embodiment should include all of the following effects or only the following effects, so the scope of the disclosed technology should not be understood as being limited thereby.
  • Embodiments of the present invention can simultaneously restore functional map images of the structural macrovascular system and the microvascular system from contrast-enhanced magnetic resonance imaging data through the injection of a single contrast agent by using the vascular polymorphism selection information.
  • the noise of functional information of the structural macrovascular system and the microvascular system is removed with very little data compared to the prior art, and the image can be restored.
  • FIG. 1 is a block diagram of an image restoration apparatus for functional maps of a structural macrovascular system and a microvascular system using vascular polymorphism selection information according to an embodiment of the present invention.
  • FIGS. 2 to 8 are diagrams illustrating a process for defining a vascular polymorphism selection information and a microvascular basis vector and a functional map thereof according to an embodiment of the present invention.
  • FIG. 9 is a flowchart of an image restoration method of a functional map of a structural macrovascular system and a microvascular system using a vascular polymorphism selection report according to an embodiment of the present invention.
  • FIG. 10 is a flowchart illustrating a process of acquiring a signal from an object using magnetic resonance according to an embodiment of the present invention.
  • FIG. 11 is a view comparing the structural macrovascular system results according to an embodiment of the present invention and the prior art.
  • FIG. 12 is a view showing a functional map of the microvascular system according to an embodiment of the present invention and the prior art.
  • FIG. 13 is a view showing the perfusion and permeability map of the microvascular system according to an embodiment of the present invention and the prior art.
  • FIG. 1 is a block diagram of an image restoration apparatus for functional maps of a structural macrovascular system and a microvascular system using vascular polymorphism selection information according to an embodiment of the present invention.
  • the apparatus 100 for restoring an image of a functional map of a structural macrovascular system and a microvascular system includes a data acquisition module, a memory 110 , and a processor 120 .
  • a data acquisition module includes a data acquisition module, a memory 110 , and a processor 120 .
  • the image restoration apparatus 100 may be implemented by more elements than the illustrated elements, or the image restoration apparatus 100 may be implemented by fewer elements than the illustrated elements.
  • the memory 110 stores one or more programs for image restoration of functional maps of the structural macrovascular system and the microvascular system.
  • the processor 120 executes one or more programs stored in the memory 110 .
  • the processor 120 acquires magnetic resonance image data in the spatiotemporal encoding region, separates the macrovascular system from the microvascular system based on the signal intensity in the time domain from the obtained magnetic resonance image data, and the structural macrovascular system from the magnetic resonance image data and functional maps of the microvascular system.
  • the processor 120 may acquire magnetic resonance image data from a single contrast enhancement data through a single contrast agent input.
  • the processor 120 may acquire MR image data in the space-time encoding region by using undersampling in a Cartesian lattice or an arbitrary undersampling method.
  • the processor 120 may separate the macrovascular system and the microvascular system from the magnetic resonance image data in which the static background image data is suppressed from the acquired magnetic resonance image data.
  • the processor 120 may separate the macrovascular system from the microvascular system by sharing high-frequency data for a preset frequency band of time around each frame in the acquired MR image data.
  • the processor 120 may separate the macrovascular system and the microvascular system by using a band filter function based on the signal intensity of the time domain of each pixel in the acquired MR image data.
  • the band filter function may be defined using images of multiple tomography or images of multiple patients.
  • the processor 120 may differently adjust the weight of the penalty of a parameter related to image restoration to be applied to the macrovascular system and the microvascular system based on the vascular polymorphism selection information and apply it to each vascular system.
  • the processor 120 restores the structural macrovascular system and the functional map of the microvascular system by combining the vascular polymorphism selection information and the unsupervised pattern analysis method of the microvascular system using the phase information of the magnetic resonance image data as prior information. can do.
  • the processor 120 may reconstruct the functional maps of the structural macrovascular system and the microvascular system by using any one unsupervised pattern analysis among principal component analysis, independent component analysis, and non-negative matrix decomposition.
  • the image restoration apparatus 100 simultaneously restores two pieces of information from single data through a single contrast medium injection.
  • the image restoration apparatus 100 simultaneously extracts the macroscopic vasculature structure and the microvascular system functional map directly from raw data, thereby preventing the generation of artifacts and noise amplification that may occur in the intermediate stage. can be effectively removed.
  • contrast-enhanced image restoration and image segmentation may be implemented in a single mathematical frame.
  • the image restoration apparatus 100 simultaneously restores the functional maps of the structural macrovascular system and the microvascular system from the single data of the contrast-enhanced magnetic resonance image.
  • two injections of the contrast medium are required.
  • vascular polymorphisms to be utilized in an embodiment of the present invention is as follows.
  • the contrast enhancement patterns over time in the macrovascular system (arteries, veins) and the microvascular system (capillaries) are very different. gradual wash in and out) changes in correlation with the surrounding signal
  • the tissue can be divided into 1) high perfusion area, 2) moderate perfusion area, and 3) gangreneous area.
  • the image restoration apparatus 100 simultaneously restores a macrovascular image and a functional map of the microvascular system from low-resolution, high-resolution k-space data.
  • an embodiment of the present invention constructs a macrovascular system-based guide map after mathematically defining vascular polymorphism selection information based on a contrast enhancement signal pattern.
  • an embodiment of the present invention builds a mathematical model based on unsupervised pattern analysis of tissue image segmentation according to microvascular system functional information.
  • an embodiment of the present invention implements a limited optimization model for simultaneous restoration of macrovascular and microvascular functional information by reflecting the mathematically implemented macroscopic and microvascular polymorphism information.
  • an embodiment of the present invention restores macro- and micro-vascular system functions simultaneously by utilizing a non-linear optimization solution.
  • FIGS. 2 to 8 are diagrams illustrating a process for defining a vascular polymorphism selection information and a microvascular basis vector and a functional map thereof according to an embodiment of the present invention.
  • FIG. 6 shows a cancerous tissue as a detailed image of a DCE image of a time series.
  • FIG. 8 shows a signal representation in a low-dimensional space for a microvasculature polymorphism reflecting a change in a microvasculature signal.
  • the polymorphism selection information of the vascular system is used to classify the signal intensity in the time domain of each pixel.
  • the functional map of the microvascular system is divided into 1) high perfusion region, 2) moderate perfusion region, and 3) gangreneous region according to a specific pattern.
  • FIG. 9 is a flowchart of an image restoration method of a functional map of a structural macrovascular system and a microvascular system using a vascular polymorphism selection report according to an embodiment of the present invention.
  • the image restoration apparatus 100 converts vascular polymorphism selection information (macrovascular system and microvascular system) and phase information of data for applying the unsupervised pattern analysis method as prior information.
  • the high-resolution data acquired by the magnetic resonance imaging apparatus is image-reconstructed using the
  • step S101 the apparatus 100 for restoring an image of a functional map of a structural macrovascular system and a microvascular system according to an embodiment of the present invention acquires high-resolution plurality of frame data in the temporal encoding region. That is, the image restoration apparatus 100 acquires high-resolution MR image data in the space-time encoding region.
  • each frame is an independent variable random undersampling.
  • the image restoration apparatus 100 acquires magnetic resonance image data by using an undersampling technique that shares high-frequency data of a time around the current frame.
  • the image restoration apparatus 100 reconstructs the current frame data through sharing between the current and neighboring frames. This can be done selectively.
  • the image restoration apparatus 100 obtains the vascular polymorphism selection information (M) and the phase information ( PD ) and uses them when restoring the image.
  • the image restoration apparatus 100 separates the macrovascular system from the microvascular system based on the signal intensity in the time domain from the acquired magnetic resonance image data.
  • the image restoration apparatus 100 may use an image in which noise or artifacts of the image are removed by sharing high-frequency data of a time around the current frame.
  • the image restoration apparatus 100 obtains signal intensity-based vascular polymorphism selection information by using images of several tomography or images of several patients.
  • the image restoration apparatus 100 may set the weight of each vascular system penalty based on the vascular system polymorphism selection information.
  • the image restoration apparatus 100 may use a method of sharing high-frequency data of a time around each frame in order to classify each vascular system.
  • the image restoration apparatus 100 may utilize a conventional image restoration method.
  • the image restoration apparatus 100 may distinguish a macrovascular system from a microvascular system by using a band filter function based on the signal intensity of the time domain of each pixel.
  • the image restoration apparatus 100 may define a band filter function by using images of several tomographic layers or images of several patients.
  • the image restoration apparatus 100 may set the weight of a penalty of a parameter related to image restoration to be applied to the macrovascular system and the microvascular system through the above process.
  • the image restoration apparatus 100 acquires static background image data based on image data before contrast enhancement.
  • the image restoration apparatus 100 may reconstruct image data before contrast enhancement by full-sampling or by sharing all image frames before contrast enhancement.
  • step S104 the image restoration apparatus 100 according to an embodiment of the present invention suppresses the static background image data from the entire image data.
  • step S105 the image restoration apparatus 100 restores images of structural macrovascular system and microvascular system functional map by combining vascular polymorphism selection information and microvascular system unsupervised pattern analysis method from the remaining data.
  • the image restoration apparatus 100 reconstructs an image of a structural macrovascular system and a functional map of the microvascular system using the following [Equation 1].
  • the process of using unsupervised pattern analysis for functional information of the microvascular system is as follows.
  • the unsupervised pattern analysis method any one unsupervised pattern analysis method among principal component analysis, independent component analysis, and non-negative matrix decomposition can be used.
  • non-negative matrix decomposition it is applicable when data is non-negative.
  • the magnetic resonance imaging signal is a complex signal in which magnitude and phase information are combined, it is difficult to directly apply non-negative matrix decomposition.
  • the magnitude information of the MR image signal which is a complex signal, should be used.
  • the phase information is applied to image restoration by utilizing information in the low frequency region of k-space.
  • the image restoration apparatus 100 may obtain phase information of an image from a low frequency region of acquired data and apply it to actual image restoration.
  • the image restoration apparatus 100 may extract only functional information of the microvascular system using unsupervised pattern analysis by combining and applying the vascular polymorphism selection information.
  • the image restoration apparatus 100 adds, as prior information, spatiotemporal information, that is, that a dynamic image has sparseness in the transformed frequency domain, and that pixels having the same characteristics in the microvascular system are highly correlated with the structural macrovascular system. and images of functional maps of the microvascular system can be restored.
  • the image restoration apparatus 100 repeatedly performs the data acquired through the above process and the updated entire dynamic image in a direction in which consistency is maintained, so that the structural macrovascular system requires very little data compared to the prior art. It is possible to remove the noise of functional information of the microvascular system and restore the image.
  • FIG. 10 is a flowchart illustrating a process of acquiring a signal from an object using magnetic resonance according to an embodiment of the present invention.
  • step S201 the image restoration apparatus 100 excites the spin system in the object by adjusting the other magnetic field using electromagnetic pulses while fixing one magnetic field to generate a signal from the object.
  • step S202 the image restoration apparatus 100 uses a plurality of gradient magnetic field coils to form a magnetic field and acquires the generated signal data in the space-time domain (k, t-space).
  • step S203 the image restoration apparatus 100 acquires data in the form of variable density undersampling in which a low frequency of k-space is sampled with high density, and data is downsampled at a high frequency with a low density, and time The data is acquired in a random sampling pattern so as to maintain non-coherence in the direction.
  • the image restoration apparatus 100 may perform undersampling in a Cartesian lattice or may perform arbitrary undersampling. For example, undersampling may be performed radially or spirally.
  • FIG. 11 is a view comparing the structural macrovascular system results according to an embodiment of the present invention and the prior art.
  • the parameters related to the image restoration process by adjusting the parameters related to the image restoration process differently based on the selection information of vascular polymorphism without applying the same penalty to the entire vascular system, information about rapid changes in blood flow in the macrovascular system with a large signal intensity in the structural image of the macrovascular system and size can be extracted without loss of information, and in the microvascular system, a basis vector in the time direction from which noise is removed and a functional map corresponding thereto can be extracted through unsupervised pattern analysis.
  • FIG. 9 shows a structural macrovascular system image and an error map restored from data acquired 50 times less through the prior art (k-t FOCUSS, DCS) and an embodiment of the present invention (macro & micro vascular priors).
  • An embodiment of the present invention is successfully reconstructing a structural macrovascular system image from data obtained by 50 times less data in order to save time. Since conventional techniques (k-t FOCUSS, DCS) apply uniformly with a strong penalty to suppress noise and artifacts of the vascular system signal, a loss may appear in the macrovascular system signal. However, in an embodiment of the present invention (macro & micro vascular priors), a low penalty may be applied to the macrovascular system to reduce the loss of macrovascular system signals.
  • the functional map of the microvascular system is extracted without reconstructing the image while reducing noise by combining the unsupervised pattern analysis method.
  • FIG. 12 is a view showing a functional map of the microvascular system according to an embodiment of the present invention and the prior art.
  • FIG. 10 A functional map of the microvascular system reconstructed from data acquired 50 times less through the prior art and an embodiment of the present invention is shown in FIG. 10 .
  • the extracted microvascular system functional map can be divided into W1: high perfusion, W2: moderate perfusion (Hypoxic), and W3: necrotic tissue.
  • an embodiment of the present invention (macro & micro vascular priors) is a reference (Reference) ) shows a functional map of the microvasculature almost similar to that of
  • FIG. 13 is a view showing the perfusion and permeability map of the microvascular system according to an embodiment of the present invention and the prior art.
  • FIG. 13 shows a reference for a microvascular system perfusion and permeability map.
  • a non-transitory computer-readable storage medium for storing instructions that, when executed by a processor, cause the processor to execute a method, the method comprising: acquiring magnetic resonance image data in a space-time encoding region; separating the macrovascular system and the microvascular system from the acquired magnetic resonance image data based on the signal intensity in the time domain; and reconstructing a functional map of a structural macrovascular system and a microvascular system from the magnetic resonance image data.
  • a non-transitory computer-readable storage medium may be provided.
  • the various embodiments described above are implemented as software including instructions stored in a machine-readable storage media readable by a machine (eg, a computer).
  • the device is a device capable of calling a stored command from a storage medium and operating according to the called command, and may include an electronic device (eg, the electronic device A) according to the disclosed embodiments.
  • the processor may perform a function corresponding to the instruction by using other components directly or under the control of the processor.
  • Instructions may include code generated or executed by a compiler or interpreter.
  • the device-readable storage medium may be provided in the form of a non-transitory storage medium.
  • 'non-transitory' means that the storage medium does not include a signal and is tangible, and does not distinguish that data is semi-permanently or temporarily stored in the storage medium.
  • the methods according to the various embodiments described above may be provided by being included in a computer program product.
  • Computer program products may be traded between sellers and buyers as commodities.
  • the computer program product may be distributed in the form of a machine-readable storage medium (eg, compact disc read only memory (CD-ROM)) or online through an application store (eg, Play StoreTM).
  • an application store eg, Play StoreTM
  • at least a portion of the computer program product may be temporarily stored or temporarily generated in a storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.
  • the various embodiments described above are stored in a recording medium readable by a computer or a similar device using software, hardware, or a combination thereof. can be implemented in In some cases, the embodiments described herein may be implemented by the processor itself. According to the software implementation, embodiments such as the procedures and functions described in this specification may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein.
  • non-transitory computer-readable medium refers to a medium that stores data semi-permanently, not a medium that stores data for a short moment, such as a register, cache, memory, etc., and can be read by a device.
  • Specific examples of the non-transitory computer-readable medium may include a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.
  • each of the components may be composed of a single or a plurality of entities, and some sub-components of the above-described corresponding sub-components may be omitted, or other Sub-components may be further included in various embodiments.
  • some components eg, a module or a program
  • operations performed by a module, program, or other component are sequentially, parallel, repetitively or heuristically executed, or at least some operations are executed in a different order, are omitted, or other operations are added.

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Abstract

La présente invention concerne un procédé et un dispositif de restauration d'image d'une carte de fonction pour des systèmes macrovasculaires et des systèmes microvasculaires structuraux au moyen d'informations préalables de polymorphisme de système vasculaire. Un procédé de restauration d'image d'une carte fonctionnelle pour système macrovasculaire et système microvasculature structuraux au moyen d'informations préalables de polymorphisme de système vasculaire selon un mode de réalisation de la présente invention comprend les étapes de : acquisition de données d'image de résonance magnétique dans une région de codage d'espace temporel ; séparation de systèmes macrovasculaires et de systèmes microvasculaires sur la base de l'intensité de signal de domaines temporels à partir des données d'image de résonance magnétique acquises ; et restauration d'une carte fonctionnelle pour des systèmes macrovasculaires et des systèmes microvasculaires structuraux à partir des données d'image de résonance magnétique.
PCT/KR2021/017745 2020-12-16 2021-11-29 Procédé et dispositif de restauration d'image de carte fonctionnelle pour système macrovasculaire et système microvasculaire structuraux au moyen d'informations préalables de polymorphisme de système vasculaire WO2022131616A1 (fr)

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