WO2014017853A2 - Procédé pour l'induction de caractéristiques du débit sanguin et d'un gradient de force de signal de résonance magnétique (rm) (taux de cisaillement) à l'aide d'angiographie par temps de vol en irm (tof-mra) - Google Patents
Procédé pour l'induction de caractéristiques du débit sanguin et d'un gradient de force de signal de résonance magnétique (rm) (taux de cisaillement) à l'aide d'angiographie par temps de vol en irm (tof-mra) Download PDFInfo
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- WO2014017853A2 WO2014017853A2 PCT/KR2013/006684 KR2013006684W WO2014017853A2 WO 2014017853 A2 WO2014017853 A2 WO 2014017853A2 KR 2013006684 W KR2013006684 W KR 2013006684W WO 2014017853 A2 WO2014017853 A2 WO 2014017853A2
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- 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]
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- 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
- G06T2207/30104—Vascular flow; Blood flow; Perfusion
Definitions
- the present invention relates to a method for inducing blood flow characteristics, and more particularly, to a method for inducing blood flow characteristics of blood flow or hemodynamics using T0F-MRA, and a computing device using the same.
- Shear forces are one of the most important mechanical forces that affect vascular endothelial cells to maintain vascular function, and methods for analyzing them have been developed.
- State-of-the-art computerized analysis such as CFDC Computational Fluid Dynamics, is the most typical method, but the overall process is very complex, multi-step, and long-term computer simulation.
- it is difficult to process individual blood vessels at the same time and each of the above process has a difficulty in repeating the above process, so it is not universal.
- the biggest challenge for determining wall shear forces is to accurately obtain the velocity gradient or shear rate near the vessel wall.
- Time-0f-Fight-Magnetic Resonance Angiography (T0F-MRA), as shown in FIG. It is an image.
- This signal strength is proportional to the degree of movement of the saturated spin within the image volume. That is, T0F-MRA composes an image using the blood flow characteristics of the blood. Other factors affecting the signal strength are flip angle of radiofrequency pulse, repetition time (TR), and echo time (TE).
- TOF-MRA is the most widely used vascular imaging technique in the medical field because it can present various vascular structures of individual subjects with excellent image resolution.
- the related technologies continue to develop, so that complex blood flow phenomena such as vortex can be diagnosed, and microvessel images can be obtained recently.
- Phase contrast MRI is an imaging technique that can obtain blood flow velocity and direction differently from TOF-MRA technique, and can measure blood flow velocity directly.
- a study to measure the wall shear stress distribution closely related to Lag's growth has been conducted.
- phase contrast MRI has a big disadvantage in terms of time and cost due to the influence of time and space precision.
- the overall vascular structure cannot be presented in detail, and thus, it cannot be used except for research to obtain blood flow velocity in a specific area, and thus it is rarely used in actual clinical practice.
- the T0F-MRA is a blood flow enhancing effect
- the T0F-MRA may not acquire perfect blood flow characteristics according to the above-described imaging techniques or conditions such as radiofrequency pulse flip angle and TR.
- the T0F-MRA technique is known to be optimal for obtaining an overall image of blood vessels, but not suitable for extracting blood circulation factors such as blood flow rate.
- the fast blood flow in the center is offset by the TR value and the saturated magnetic field is removed before the image is acquired.
- T0F-MRA does not achieve proper blood flow rate is that inside the vessel, even if the flip angle of the cross-section of the vessel taken due to the direction of the magnetic field set at right angles to the z axis is arranged diagonally or parallel to the z axis rather than perpendicular to the z axis. Proper laminar blood flow characteristics are difficult to properly implement.
- the recent T0F- ⁇ technique takes advantage of the limitations of these MR images. This is because the TR can be reduced even more, and the surrounding speed is better than the center speed, and then MIP (Maximum Intensity Projection) is used to obtain a three-dimensional blood vessel image, so that the narrowed area of blood vessels and various abnormalities can be diagnosed more effectively.
- MIP Maximum Intensity Projection
- the focus of the vascular image is obtained by optimizing the image around the vessel (the velocity around the vessel wall) rather than accurately capturing the center velocity.
- an object of the present invention is to provide a method for inducing blood flow characteristics such as blood flow or hemodynamics using TOF-MRA.
- a blood flow characteristic induction method includes: obtaining an MRA blood vessel cross-sectional image; Detecting blood vessel boundaries in the image to identify blood vessels; Pseudo-coloring the blood vessels; And providing the blood vessel pseudo-colored image as a blood flow image.
- the location of a hotspot in the bloodstream image may indicate a bias of the bloodstream.
- the blood flow characteristic induction method using the pseudo-colored image of the blood vessel, calculating a MR-signal intensity gradient at a specific position inside the blood vessel. It may further include;
- the MR-signal strong tool calculation step "(intravascular image value-vascular wall value zero shop value) / (distance from the vessel wall to the blood vessel inside) can be calculated as the MR-signal strength tool.
- the blood flow characteristic induction method the step of calculating the MR-signal strong tool distribution in the vessel; And applying the MR-signal strong tool distribution to the blood vessels of the image and providing the MR-signal strong tool image as an image.
- the MR-signal strong tool image can be used to analyze the relationship between the shear force on the blood vessels and organs or lesions.
- a computer-readable recording medium includes: obtaining a magnetic resonance angiography (MRA) blood vessel cross-sectional image; Detecting blood vessel boundaries in the image to identify blood vessels; Pseudo-coloring the blood vessels; And providing a pseudo-colored image of the blood vessel as a blood flow image.
- MRA magnetic resonance angiography
- the location of a hotspot in the bloodstream image may indicate a bias of the bloodstream.
- the method may further include calculating an MR signal intensity gradient at a specific position within the blood vessel using the pseudo-colored image of the blood vessel.
- MR-signal strong tool calculation step "(intravascular image value-image value of blood vessel wall) / (distance from blood vessel wall to internal blood vessel)" can be calculated as the MR-signal intensity tool.
- the present invention by using a relatively simple algorithm using the TOF-MRA to induce blood flow characteristics of blood flow or hemodynamics accurately and very quickly, it is possible to analyze the blood flow characteristics to analyze the blood flow characteristics It can be used for diagnosis and treatment of diseases.
- 1 is a view showing the effect of enhancing blood flow in the blood vessel cross section
- Figure 2 is a flow chart provided in the description of the blood flow characteristic induction method using the TOF-MRA according to a preferred embodiment of the present invention
- Figure 3 is a photo showing an example of pseudo-coloring the TOF-MRA cross-sectional image
- Figures 4 to 6 shows the hotspot and the laminar flow characteristics of the surroundings through the pseudo-coloring sufficiently matched with the actual blood flow
- FIG. 9 is a block diagram of a computing device in which a method of inducing blood flow characteristics according to an exemplary embodiment of the present invention may be performed.
- T0F-MRA does not allow for proper blood flow.
- the blood flow signal hidden in the cross-sectional image is properly reconstructed, much information of blood vessel characteristics and hemodynamics can be extracted.
- the shear stress and shear rate acting on the blood vessel wall are important factors for the velocity around the blood vessel wall. It can be used to analyze the mechanical force acting on the vessel wall through the T0F-MRA technique that optimizes the peripheral wall velocity, which will be described in detail below.
- FIG. 2 is a flowchart provided to explain a method of inducing blood flow characteristics using T0F-MRA according to a preferred embodiment of the present invention.
- T time "Of-Fn g ht-Magnetic Resonance Angiography”
- the MA vessel cross-sectional image is acquired (the blood vessel boundary is detected from the SllO acquired MA vessel cross-sectional image, and the vessel is identified (S120).
- pseudo-coloring of the identified vessel portion pseud (: 010 ⁇ ) (3130) to provide blood flow images (S140).
- the pseudo-colored image of the blood vessel part by the step S130 is provided as a blood flow image showing the blood flow, the position of the hotspot (hot spot) in the blood flow image indicates the bias of the blood flow. In the following, it will be described in detail.
- FIG. 3 is a pseudo-colored image of the T0F-MRA cross-sectional image.
- the left side of Figure 3 is a T0F-MRA cross-sectional image it is difficult to grasp any characteristics.
- the pseudo-coloring process is performed as shown in the right side of FIG. 3, it can be seen that blood flow appears in the cross-sectional image.
- the blood flows to the front, rightwards (MRA standard) biased.
- MRA standard rightwards
- the blood flow velocity gradient of the left and rear blood vessel walls is smaller than that of the right and front blood vessel walls.
- the blood flow is the fastest in the dark red hot spot in Figure 3 shows a slow laminar flow phenomenon toward the surroundings.
- Figure 4 is a case of basal artery (Basilar artery) blood flow rate is fast the right vertebral artery average blood flow rate was 25.4 cm / sec, the left side was 27.3 cm / sec. Due to the high rate of blood flow, a rapid decrease in blood flow signal is observed in slices 25, 35, 40, and 45. In CFD, central blood flow is alive well. However, as a whole, it can be seen that blood flow is slightly biased forward as shown in pseudo-coloring hotspot, which is consistent with CFD results.
- FIG. 5 is a comparison of TOD-MRA color tablation and CFD in BA region with vascular stenosis. Pseudo-coloring hotspot and peripheral blood flow characteristics are well shown in stenosis (slice 40, 45). You can see a match.
- Figure 5 is a severe narrowing in the basal vessels, blood flow rate is somewhat lower than the example of Figure 4 (average blood flow rate in the right vertebrae: 21.2 cm / sec, left, 25, 8 cm / sec).
- the laminar blood flow characteristics were well maintained in slices 35 and 40 with severe stenosis, and the overall blood flow patterns were almost consistent with the CFD results.
- T0F-MRA pseudo-colored images
- CFD central blood flow
- Figure 6 also shows a similar blood flow rate as in Figure 4 (average blood flow rate in the right vertebrae; 25.8 cm / sec, left 19.6 cm / sec). Rapid central blood flow is observed in slices 50, 55, and 60 with weak signal intensity. However, right-sided basal artery blood flow to the right is common in both T0F-MRA pseudo-colored images and CFDs.
- the signal intensity around all vessel walls shows the slowest blue blood flow characteristics, and the periphery shows various, slightly faster blood flow rates than the vessel walls.
- the central blood flow signal is largely canceled due to the high blood flow rate (eg, FIG. 4).
- slice 35, 40; slice 55, 60 of FIG. 6 although the velocity distribution of the canceled portion does not show the original blood flow velocity characteristics, it can be seen that there is a significant difference from the blood flow velocity of the blood vessel wall and the periphery of the wall.
- an image of a blood vessel is pseudo-colored and an MR-signal intensity gradient (or MR-shear rate) image of the blood vessel is generated and provided (S150).
- MR-signal strong tool image provided in step S150 the blood vessel is pseudo-colored blood flow image can be generated by calculating the MR signal intensity tool distribution in the blood vessels, and applying the MR signal signal tool distribution to the blood vessels .
- MR-signal bolus imaging can be used for qualitative / political analysis of the relationship between force on blood vessels and the structure or lesions of the brain (or organs), as described in detail below.
- the MR-signal strength tool vessel can be obtained using this.
- the MR-signal strong tool multiplication at a specific position inside the blood vessel can be calculated through Equation 1 below.
- MR-signal intensity gradient (MR signal B-MR signal A) / D
- MR-signal intensity gradient is the MR-signal intensity gradient at a specific location inside the vessel
- MR signal B is an image value at a specific location inside the vessel
- MR signal A ' is an image of the vessel wall.
- Value is the distance from the vessel wall to a specific location within the vessel.
- FIG. 7 is an image comparing the shear rate (B) obtained by the MR- signal intensity tool (A) and CFD on the basal artery cross section. In both images, a high shear rate region was observed in the left front, and a low shear rate region in the rear.
- the MR-signal intensity tool performed in a very short time, but it can process all the vessels in the T0F-MRA image at the same time, so if you want to obtain CFO information about all the vessels, the time difference between the two methods can You have to multiply it.
- the computing device 200 to perform the blood flow characteristic derivation method according to the present embodiment includes a communication interface 210, a monitor 220, a processor 230, a user interface 240, and the like.
- a storage medium 250 is provided.
- the communication interface 210 is a means for establishing and maintaining a communication connection with an external device, wherein the external device may be a T0F-MRA imaging device.
- the user interface 240 includes a keyboard, a mouse, and the like as a means for inputting a command for operating the computing device 200.
- the storage medium 250 is a program capable of performing the hematopoietic induction method shown in FIG. 2 and a medium for storing data necessary for performing the program.
- storage The medium 250 may store a T0F-MRA image.
- the monitor 220 is a display that displays the processes and results that appear in performing the blood flow characteristic induction method.
- the processor 230 performs the algorithm for inducing blood flow characteristics shown in FIG. 2.
- the present invention is a technique capable of measuring blood flow characteristics of blood flow and hemodynamics, and can be used in the medical device and medical equipment industry.
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Abstract
L'invention concerne un procédé pour l'induction des caractéristiques du débit sanguin et d'un gradient de force de signal RM à l'aide de TOF-MRA. Le procédé d'induction des caractéristiques du débit sanguin selon un mode de réalisation de la présente invention met en jeu l'acquisition d'une image de coupe transversale d'un vaisseau sanguin à l'aide d'angiographie par résonance magnétique (MRA) et la détection d'un contour du vaisseau afin de reconnaître le vaisseau sanguin, la pseudo-coloration du vaisseau sanguin et l'apport d'une image de vaisseau sanguin. Par conséquent, le procédé de la présente invention peut induire un débit sanguin ou des caractéristiques de débit sanguin telles que l'hémodynamique d'une manière fiable et très rapide par l'intermédiaire d'un algorithme relativement simple à l'aide de TOF-MRA, analyser le débit sanguin ou des caractéristiques de débit sanguin afin de permettre la compréhension des caractéristiques de débit sanguin et permet l'application du débit sanguin ou les caractéristiques du débit sanguin au diagnostic et au traitement de maladies vasculaires.
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KR1020120081035A KR101373563B1 (ko) | 2012-07-25 | 2012-07-25 | Tof-mra를 이용한 혈류특성 및 mr-신호강도구배(전단율) 유도방법 |
KR10-2012-0081035 | 2012-07-25 |
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Cited By (4)
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US10435459B2 (en) | 2014-09-16 | 2019-10-08 | Hanmi Pharm. Co., Ltd. | Use of a long acting GLP-1/glucagon receptor dual agonist for the treatment of non-alcoholic fatty liver disease |
US11071785B2 (en) | 2012-11-06 | 2021-07-27 | Hanmi Pharm. Co., Ltd. | Liquid formulation of long-lasting protein conjugate comprising the oxyntomodulin and an immunoglobulin Fc region |
US11254724B2 (en) | 2014-12-30 | 2022-02-22 | Hanmi Pharm. Co., Ltd. | Glucagon derivatives |
US11872283B2 (en) | 2011-06-17 | 2024-01-16 | Hanmi Science Co., Ltd | Conjugate comprising oxyntomodulin and an immunoglobulin fragment, and use thereof |
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KR101992057B1 (ko) | 2018-08-17 | 2019-06-24 | (주)제이엘케이인스펙션 | 혈관 투영 영상을 이용한 뇌질환 진단 방법 및 시스템 |
KR102462075B1 (ko) * | 2020-08-05 | 2022-11-01 | 정슬기 | 뇌자기공명혈관조영술의 혈관 신호강도그래디언트를 이용한 혈류산출법 및 이를 이용한 뇌혈관질환 및 뇌졸중 위험도 분석 시스템 |
CN114264995B (zh) | 2020-09-16 | 2023-09-22 | 西门子(深圳)磁共振有限公司 | 飞跃时间磁共振成像扫描方法、装置及磁共振成像*** |
KR102513601B1 (ko) | 2020-11-09 | 2023-03-22 | 울산대학교 산학협력단 | 3차원 영상 기반 유체 시뮬레이션 방법, 장치 및 프로그램 |
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JPH08154917A (ja) * | 1994-12-06 | 1996-06-18 | Hitachi Medical Corp | 血流情報表示方法 |
JPH10179545A (ja) * | 1996-12-26 | 1998-07-07 | Hitachi Medical Corp | 磁気共鳴イメージング装置 |
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US11872283B2 (en) | 2011-06-17 | 2024-01-16 | Hanmi Science Co., Ltd | Conjugate comprising oxyntomodulin and an immunoglobulin fragment, and use thereof |
US11071785B2 (en) | 2012-11-06 | 2021-07-27 | Hanmi Pharm. Co., Ltd. | Liquid formulation of long-lasting protein conjugate comprising the oxyntomodulin and an immunoglobulin Fc region |
US10435459B2 (en) | 2014-09-16 | 2019-10-08 | Hanmi Pharm. Co., Ltd. | Use of a long acting GLP-1/glucagon receptor dual agonist for the treatment of non-alcoholic fatty liver disease |
US11254724B2 (en) | 2014-12-30 | 2022-02-22 | Hanmi Pharm. Co., Ltd. | Glucagon derivatives |
US12018060B2 (en) | 2014-12-30 | 2024-06-25 | Hanmi Pharm Co., Ltd. | Glucagon derivatives |
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KR101373563B1 (ko) | 2014-03-12 |
KR20140014605A (ko) | 2014-02-06 |
WO2014017853A3 (fr) | 2014-03-13 |
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