KR101725668B1 - Repetitive motion compensation technique for improving the quality of the 4d image - Google Patents

Repetitive motion compensation technique for improving the quality of the 4d image Download PDF

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KR101725668B1
KR101725668B1 KR1020150144143A KR20150144143A KR101725668B1 KR 101725668 B1 KR101725668 B1 KR 101725668B1 KR 1020150144143 A KR1020150144143 A KR 1020150144143A KR 20150144143 A KR20150144143 A KR 20150144143A KR 101725668 B1 KR101725668 B1 KR 101725668B1
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frames
motion information
3d image
acquiring
target frame
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KR1020150144143A
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Korean (ko)
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나종범
장용진
김승언
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한국과학기술원
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5258Devices using data or image processing specially adapted for radiation diagnosis involving detection or reduction of artifacts or noise
    • A61B6/5264Devices using data or image processing specially adapted for radiation diagnosis involving detection or reduction of artifacts or noise due to motion
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computerised tomographs
    • A61B6/032Transmission computed tomography [CT]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computerised tomographs
    • A61B6/037Emission tomography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50Clinical applications
    • A61B6/503Clinical applications involving diagnosis of heart
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics

Abstract

A method of acquiring a 4D image according to an exemplary embodiment of the present invention includes reconstructing a 3D image composed of a plurality of frames from gated scan data; Designating at least one target frame in the 3D image, acquiring motion information of neighboring frames in a predetermined time range for each target frame of the 3D image, and extending the predetermined time range; And obtaining a 4D image by compensating for motion for each of the target frames based on the obtained motion information.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a repetitive motion compensation method,

The following description relates to motion compensation techniques and relates to a method and system for improving the image quality of a 4D image.

When the scan data of the heart is acquired by a C-arm CT device or a PET or MRI device having a slow rotation speed, various cycles of repeated shrinking and relaxation are observed in the measurement data. When reconstruction is performed using the measurement data, motion blur and artifacts occur near the heart.

(A) shows a sample point at the time of obtaining an electrocardiogram (ECG) signal and projection data according to a cardiac phase, (b) shows an X-ray source And a sample point corresponding to (a). At this time,

Figure 112015099801625-pat00001
May refer to the angle of the locus along which the X-ray travels during one cardiac cycle.

If gating is performed using information such as ECG signals of the heart to reduce artifacts related to movement, it is possible to obtain an image having good time resolution for each frame, but the data used for obtaining the image is a part of the measurement data The quality of the reconstructed image is degraded.

Accordingly, an appropriate technique for utilizing motion information is required. The present invention deals with a technique for improving the quality of a 4D image by suggesting a motion information utilizing technique.

SUMMARY OF THE INVENTION It is an object of the present invention to improve the quality of a 4D image by actively utilizing motion information with neighboring frames around a target frame from a 4D image composed of 3D images of initial N (N is a natural number) .

According to an embodiment, a method of acquiring a 4D image includes reconstructing a 3D image composed of a plurality of frames from gated scan data; Designating at least one target frame in the 3D image and obtaining motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And obtaining a 4D image by compensating for motion for each of the target frames based on the obtained motion information.

According to one aspect, the 4D image acquisition method may include acquiring motion information of neighboring frames in a predetermined time range for each frame of the 3D image, and performing motion for each frame based on the acquired motion information And performing the compensating process repeatedly.

According to another aspect, reconstructing the 3D image composed of a plurality of frames from the gated scan data includes reconstructing the 3D image using data associated with the frame among the entire scan data can do.

According to another aspect of the present invention, the step of designating at least one target frame in the 3D image and obtaining motion information of neighboring frames in a predetermined time range for each target frame of the 3D image, Acquiring motion information between neighboring frames within a predetermined range, and gradually increasing the number of adjacent frames for acquiring the motion information.

According to another aspect of the present invention, the step of acquiring the 4D image by compensating the motion for each of the target frames based on the obtained motion information may include the step of transforming the other frames to the target frame time using the motion information, And using the data of the other frames for the target frame reconstruction.

According to another aspect, the step of acquiring the 4D image by compensating the motion for each of the target frames based on the obtained motion information includes acquiring the data of the frames obtained by using the motion information to reconstruct an arbitrary target frame May be used to further increase the scan data available for image reconstruction from the target frame by further utilizing the reconstruction of the target frame.

According to an embodiment, a system for acquiring a 4D image includes a reconstruction unit for reconstructing a 3D image composed of a plurality of frames from gated scan data; An acquiring unit for designating at least one target frame in the 3D image and acquiring motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And a compensation unit for obtaining a 4D image by compensating the motion for each of the target frames based on the obtained motion information.

According to one aspect, the 4D image acquisition system acquires motion information of neighboring frames in a predetermined time range for each frame of the 3D image, and performs motion for each frame based on the obtained motion information The compensation process can be repeatedly performed.

According to another aspect, the reconstructing unit may reconstruct the 3D image using data associated with the frame among the entire scan data.

According to another aspect of the present invention, the obtaining unit obtains motion information between frames adjacent to each other within a predetermined range around the target frame, and the number of adjacent frames for acquiring the motion information may be gradually enlarged.

According to another aspect of the present invention, the compensating unit may use the motion information to transform other frames to a target frame viewpoint, and use the data of the other frames to reconstruct the target frame.

According to another aspect, the compensating unit may further comprise a step of gradually adding the scan data available for image reconstruction from the target frame to the reconstructing target frame by using the data of the frames obtained from the motion information to reconstruct an arbitrary target frame, .

In the 4D image acquisition system according to an exemplary embodiment, the number of adjacent frames utilizing motion information is gradually increased by performing a motion compensation scheme, and reconstruction of an arbitrary target frame is performed by applying reconstruction for motion compensation to an extended range The amount of usable scan data is gradually increased, and the quality of the image can be gradually improved. This makes it possible to acquire 4D images of good image quality as well as high temporal resolution for a large scan target.

1 is a diagram for explaining a motion compensation technique.
2 is a diagram for explaining the general operation of the 4D image acquisition system according to one embodiment.
3 is a block diagram illustrating a configuration of a 4D image acquisition system according to an embodiment.
4 is a flowchart illustrating a 4D image acquisition method of a 4D image acquisition system according to an embodiment of the present invention.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

2 is a diagram for explaining the general operation of the 4D image acquisition system according to one embodiment.

The 4D image acquisition system can reconstruct 4D images by reconstructing 3D images of initial N (N is a natural number) frames into scan data that is gated with an ECG (Electrocardiogram) signal or the like (210, 220).

The 4D image acquisition system can acquire 3D images of N frames by acquiring scan data and gating signals together. In other words, 4D image acquisition system can acquire 4D image by acquiring scan data and gating signal.

The 4D image acquisition system uses gating to obtain N 3D images from the measured data, since only a part of the measured data is used in each frame. Therefore, it is difficult to reconstruct the perfect image or the SNR drops depending on the device An initial image of low quality is obtained. However, since the reconstruction of each frame through the 4D image acquisition system uses only the data related to the corresponding frame among all the data, it is possible to reconstruct 3D images having high temporal resolution.

The 4D image acquisition system can acquire motion information between frames neighboring within a certain range in time according to each target frame in a 3D image composed of N frames (230).

The 4D image acquisition system can acquire motion information between neighboring frames within a certain range around each frame using N 3D images estimated to date. In the 4D image acquisition system, the number of adjacent frames for acquiring motion information may be gradually increased.

 The 4D image acquisition system can acquire improved 3D images, that is, 4D images, by compensating motion for each frame using the acquired motion information (240). The 4D image acquisition system can repeat the reconstruction of the image by acquiring the motion information again and performing the motion compensation as in steps 210 to 230.

The 4D image acquisition system, for example, can perform reconstruction on scan data where multiple cycles of the heart are observed. At the time of data acquisition, ECG signals can be acquired at the same time so that the heart relaxation or systolic state can be obtained and used for image reconstruction.

The 4D image acquisition system proceeds after reconstructing the initial image. If the entire scan data is used, artifacts due to movement of the heart may occur. Therefore, the gated data based on the ECG signal is used in the scan data. That is, reconstruction is performed for each frame of the heart, and reconstruction is performed using a small amount of data as compared with the whole scan data. At this time, the initial reconstruction image can not be completely reconstructed because it uses a small amount of data, but since there is no artifact due to motion, it can be used as an initial reconstruction image for the next step.

The 4D image acquisition system can improve the reconstructed image through motion information utilization and compensation. Motion compensation reconstruction may be applied to an arbitrary target frame to use motion information between frames and temporally neighboring frames. According to an embodiment, when obtaining the first motion information, the motion information between the frame to be reconstructed and the two neighboring frames in time may be obtained, and the motion compensation reconstruction may be performed using the obtained motion information.

The 4D image acquisition system can further utilize the data of the frames in which the motion information is acquired in the preceding stage to reconstruct an arbitrary target frame, in addition to the reconstruction of the target frame. In other words, since the 4D image acquisition system can move the other frames to the target frame point by using the motion information, the data of another frame can be utilized in addition to the target frame reconstruction, thereby improving the quality of the target frame image. Also, as the motion estimation and compensation process is repeated, the 4D image acquisition system increases the acquisition range of the motion information and gradually increases the scan data available for the image reconstruction from the target frame, thereby improving the degree of image enhancement.

The range in which motion information is to be acquired can be gradually increased by repeating the motion information acquisition and motion compensation processes. The effect of this iterative performance based proposal technique is that as the 4D image is gradually improved, the estimation of motion information becomes more accurate and the range of application of motion information can be increased. Through this, it is possible to improve the image quality by using more scan data to acquire 3D images for each frame.

3 is a block diagram illustrating a configuration of a 4D image acquisition system according to an embodiment.

The 4D image acquisition system 300 may include a reconstruction unit 310, an acquisition unit 320, a compensation unit 330, and an iteration unit 340. The 4D image acquisition system 300 repeatedly acquires motion information of neighboring frames within a predetermined time range for each frame of the 3D image and repeats the motion for each frame based on the acquired motion information Can be performed.

The reconstructing unit 310 may reconstruct a 3D image composed of a plurality of frames from the gated scanning data. The reconstructing unit 310 may reconstruct the 3D image using data related to the frame among the entire data in the 3D image.

The acquiring unit 320 may designate at least one target frame in the 3D image and acquire motion information of neighboring frames within a predetermined time range for each target frame of the 3D image. The acquiring unit 320 acquires motion information between neighboring frames within a predetermined range around the target frame, and the number of adjacent frames for acquiring motion information may gradually increase.

The compensating unit 330 can acquire the 4D image by compensating the motion for each target frame based on the acquired motion information. The compensating unit 330 may utilize the motion information to move the other frames to the target frame viewpoint and use the data of the other frames to reconstruct the target frame. The compensator 330 may incrementally increase the scan data available for image reconstruction from the target frame by further utilizing the data of the frames obtained motion information to reconstruct an arbitrary target frame.

The repeating unit 340 obtains motion information of neighboring frames within a predetermined time range for each frame of the 3D image and repeatedly performs motion compensation for each frame based on the obtained motion information. . ≪ / RTI >

4 is a flowchart illustrating a 4D image acquisition method of a 4D image acquisition system according to an embodiment of the present invention.

In step 410, the 4D image acquisition system may reconstruct a 3D image consisting of a plurality of frames from the gated scan data.

The 4D image acquisition system reconstructs a 3D image for each frame using gated scan data and uses a part of the scan data to acquire a low-quality reconstructed image, but there is no artifact due to motion You can reconstruct 3D images that do not.

In operation 420, the 4D image acquisition system may designate at least one target frame in the 3D image and acquire motion information of neighboring frames within a predetermined time range for each frame of the 3D image. The 4D image acquisition system acquires motion information between neighboring frames within a predetermined range around the target frame and the number of adjacent frames for acquiring motion information can be gradually enlarged.

In operation 430, the 4D image acquisition system can acquire the 4D image by compensating the motion for each frame based on the acquired motion information. The 4D image acquisition system can utilize the motion information to move the other frames to the target frame view and use the data of other frames for the target frame reconstruction. The 4D image acquisition system may gradually increase the scan data available for image reconstruction from the target frame by further utilizing the data of the frames obtained from the motion information to reconstruct an arbitrary target frame in addition to the reconstruction of the target frame.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (12)

  1. delete
  2. A method for acquiring a 4D image,
    Reconstructing a 3D image composed of a plurality of frames from gated scan data;
    Designating at least one target frame in the 3D image and obtaining motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    Acquiring a 4D image by compensating the motion for each of the target frames based on the obtained motion information
    Lt; / RTI >
    Acquiring motion information of neighboring frames in a predetermined time range for each frame of the 3D image and compensating motion for each frame based on the obtained motion information;
    Wherein the 4D image acquisition method further comprises:
  3. A method for acquiring a 4D image,
    Reconstructing a 3D image composed of a plurality of frames from gated scan data;
    Designating at least one target frame in the 3D image and obtaining motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    Acquiring a 4D image by compensating the motion for each of the target frames based on the obtained motion information
    Lt; / RTI >
    Wherein reconstructing the 3D image composed of the plurality of frames from the gated scan data comprises:
    Reconstructing the 3D image using data associated with the frame among the entire data in the 3D image
    / RTI >
  4. A method for acquiring a 4D image,
    Reconstructing a 3D image composed of a plurality of frames from gated scan data;
    Designating at least one target frame in the 3D image and obtaining motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    Acquiring a 4D image by compensating the motion for each of the target frames based on the obtained motion information
    Lt; / RTI >
    Wherein the step of designating at least one target frame in the 3D image and obtaining motion information of neighboring frames in a predetermined time range for each target frame of the 3D image,
    A step of acquiring motion information between neighboring frames within a predetermined range around the target frame and gradually increasing the number of adjacent frames for acquiring the motion information
    / RTI >
  5. A method for acquiring a 4D image,
    Reconstructing a 3D image composed of a plurality of frames from gated scan data;
    Designating at least one target frame in the 3D image and obtaining motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    Acquiring a 4D image by compensating the motion for each of the target frames based on the obtained motion information
    Lt; / RTI >
    And acquiring the 4D image by compensating the motion for each of the target frames based on the obtained motion information,
    Using the motion information to transform other frames to a target frame viewpoint and using the data of the other frames for the target frame reconstruction
    / RTI >
  6. 6. The method of claim 5,
    And acquiring the 4D image by compensating the motion for each of the target frames based on the obtained motion information,
    Incrementing the scan data available for image reconstruction from the target frame by further utilizing the data of the frames obtained the motion information to reconstruct an arbitrary target frame in addition to the reconstruction of the target frame
    / RTI >
  7. delete
  8. A system for acquiring 4D images,
    A reconstruction unit for reconstructing a 3D image composed of a plurality of frames from the gated scan data;
    An acquiring unit for designating at least one target frame in the 3D image and acquiring motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    And a compensation unit for compensating for motion of each of the target frames based on the obtained motion information to obtain a 4D image,
    Lt; / RTI >
    Acquiring motion information of neighboring frames in a predetermined time range for each frame of the 3D image and compensating motion for each frame based on the obtained motion information is repeatedly performed
    4D < / RTI > image acquisition system.
  9. A system for acquiring 4D images,
    A reconstruction unit for reconstructing a 3D image composed of a plurality of frames from the gated scan data;
    An acquiring unit for designating at least one target frame in the 3D image and acquiring motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    And a compensation unit for compensating the motion for each of the target frames based on the obtained motion information to obtain a 4D image,
    Lt; / RTI >
    The re-
    And reconstructing the 3D image using data associated with the frame among the entire data in the 3D image
    And the 4D image acquisition system.
  10. A system for acquiring 4D images,
    A reconstruction unit for reconstructing a 3D image composed of a plurality of frames from the gated scan data;
    An acquiring unit for designating at least one target frame in the 3D image and acquiring motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    And a compensation unit for compensating for motion of each of the target frames based on the obtained motion information to obtain a 4D image,
    Lt; / RTI >
    Wherein the obtaining unit comprises:
    Acquires motion information between neighboring frames within a predetermined range centering on the target frame and gradually increases the number of adjacent frames for acquiring the motion information
    And the 4D image acquisition system.
  11. A system for acquiring 4D images,
    A reconstruction unit for reconstructing a 3D image composed of a plurality of frames from the gated scan data;
    An acquiring unit for designating at least one target frame in the 3D image and acquiring motion information of neighboring frames in a predetermined time range for each target frame of the 3D image; And
    And a compensation unit for compensating for motion of each of the target frames based on the obtained motion information to obtain a 4D image,
    Lt; / RTI >
    Wherein the compensation unit comprises:
    The motion information is used to transform other frames to a target frame viewpoint, and data of the other frames are used for reconstructing the target frame
    And the 4D image acquisition system.
  12. 12. The method of claim 11,
    Wherein the compensation unit comprises:
    Further increasing the available scan data for image reconstruction from the target frame by using data of frames obtained from the motion information to reconstruct an arbitrary target frame in addition to reconstructing the target frame
    And the 4D image acquisition system.
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WO2014069712A1 (en) * 2012-10-29 2014-05-08 한국과학기술원 Method for subjecting pet image to motion compensation and attenuation correction by using small number of low-radiation-dose ct images
KR20140054783A (en) * 2012-10-29 2014-05-09 한국과학기술원 4d fusion display technique of motion compensated pet, and ct and/or mr
KR101428005B1 (en) * 2012-10-29 2014-08-07 한국과학기술원 Method of motion compensation and phase-matched attenuation correction in pet imaging based on a few low-dose ct images

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20010019448A (en) * 1999-08-27 2001-03-15 윤종용 Method and apparatus for image data segmentation
US7426256B2 (en) * 2003-03-14 2008-09-16 Koninklijke Philips Electronics N.V. Motion-corrected three-dimensional volume imaging method
WO2014069712A1 (en) * 2012-10-29 2014-05-08 한국과학기술원 Method for subjecting pet image to motion compensation and attenuation correction by using small number of low-radiation-dose ct images
KR20140054783A (en) * 2012-10-29 2014-05-09 한국과학기술원 4d fusion display technique of motion compensated pet, and ct and/or mr
KR101428005B1 (en) * 2012-10-29 2014-08-07 한국과학기술원 Method of motion compensation and phase-matched attenuation correction in pet imaging based on a few low-dose ct images

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