WO2015194744A1 - 자기 공명 영상 시스템에서 혈관벽 영상을 획득하는 방법 - Google Patents
자기 공명 영상 시스템에서 혈관벽 영상을 획득하는 방법 Download PDFInfo
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- WO2015194744A1 WO2015194744A1 PCT/KR2015/002985 KR2015002985W WO2015194744A1 WO 2015194744 A1 WO2015194744 A1 WO 2015194744A1 KR 2015002985 W KR2015002985 W KR 2015002985W WO 2015194744 A1 WO2015194744 A1 WO 2015194744A1
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- Prior art keywords
- image
- magnetic resonance
- blood vessel
- wall
- mri
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- 210000004204 blood vessel Anatomy 0.000 title claims abstract description 55
- 238000002595 magnetic resonance imaging Methods 0.000 title claims description 32
- 238000000034 method Methods 0.000 title claims description 29
- 230000017531 blood circulation Effects 0.000 claims description 19
- 230000002792 vascular Effects 0.000 claims description 14
- 239000012528 membrane Substances 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 4
- 238000003384 imaging method Methods 0.000 description 7
- 210000004231 tunica media Anatomy 0.000 description 4
- 238000002583 angiography Methods 0.000 description 3
- 210000002808 connective tissue Anatomy 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 210000001367 artery Anatomy 0.000 description 2
- 239000002872 contrast media Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 210000003141 lower extremity Anatomy 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 210000003462 vein Anatomy 0.000 description 2
- 206010003210 Arteriosclerosis Diseases 0.000 description 1
- 238000012307 MRI technique Methods 0.000 description 1
- 208000011775 arteriosclerosis disease Diseases 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 206010008118 cerebral infarction Diseases 0.000 description 1
- 210000001175 cerebrospinal fluid Anatomy 0.000 description 1
- 208000026106 cerebrovascular disease Diseases 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 210000002216 heart Anatomy 0.000 description 1
- 230000005415 magnetization Effects 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
- 208000019553 vascular disease Diseases 0.000 description 1
Images
Classifications
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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
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0263—Measuring blood flow using NMR
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
-
- 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
- G01R33/5602—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by filtering or weighting based on different relaxation times within the sample, e.g. T1 weighting using an inversion pulse
-
- 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
- G01R33/563—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
- G01R33/5635—Angiography, e.g. contrast-enhanced angiography [CE-MRA] or time-of-flight angiography [TOF-MRA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- 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
-
- 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 an imaging technique implemented in an MRI (Magnetic Resonance Imaging) system, and more particularly, to a method for obtaining an image obtained by automatically dividing a blood vessel wall using a multimodal MRI image.
- MRI Magnetic Resonance Imaging
- MRI is not harmful to the human body compared to other imaging devices, and it is a very important measuring device in clinical practice because it image the characteristics of the internal components of the human body.
- the MRI device can obtain tissue parameters such as spin density, T1, T2, chemical shift, magnetization transition, chemical exchange saturation transition, blood flow, and spectroscopy, which are unique information of a living body, and obtain various bioinformation images through these parameters. Can be.
- Magnetic Resonance Angiography is an MRI device that measures blood flow in arteries and veins flowing through the body and reconstructs it into images, providing clinical information that is critical for the diagnosis and treatment of vascular diseases. Doing.
- the T1-weighted image of the blood flow is used to determine the velocity of the blood flow, that is, the property according to the time of flight (TOF).
- Magnetic resonance angiography (MRA) images obtained using MRI equipment can measure the phenomena due to blood flow in blood vessels.
- X-ray angiography also has a fundamental problem that can not measure the thickness of the vessel because the contrast agent is administered by inserting a catheter in the vessel.
- the thickness measurement of the cerebrovascular wall helps objectively measure the progression of arteriosclerosis in patients, and can play a big role in identifying the cause of cerebral infarction and preventing future recurrence. Therefore, accurate cerebrovascular wall thickness measurement technique is required.
- the vascular wall magnetic resonance imaging used to observe the vascular wall suppresses the cerebrospinal fluid signal outside the blood flow area and blood vessels. Since the signal of the vascular mesenteric (tunica media) in the vascular wall is dark in the magnetic resonance image, it can not be observed by the conventional vascular wall magnetic resonance imaging technique. Therefore, conventional techniques can only measure the thickness of the outer vascular outer membrane (tunica adventitia), and as a result, it is impossible to measure the exact thickness of the vessel wall. If the signal of blood flow is obtained separately with the technique for imaging the mesenteric region, it is expected that this disadvantage can be compensated.
- the size of the blood vessel can be accurately measured.
- the present invention has been made in accordance with the technical background described above, and an object thereof is to provide a method for imaging both an inner wall and an outer wall of a magnetic resonance imaging system.
- Another object of the present invention is to provide a method for automatically segmenting an inner wall and an outer wall of an image in a magnetic resonance imaging system.
- the image of the blood vessel wall is automatically divided.
- the MRI image acquisition method obtaining a first magnetic resonance image reflecting the first property of the blood vessel; Obtaining a second magnetic resonance image reflecting a second property different from the first property of the blood vessel; And subtracting the second magnetic resonance image from the first magnetic resonance image.
- a method of acquiring an MRI image comprising: obtaining a first magnetic resonance image reflecting a first property of a blood vessel; Obtaining a second magnetic resonance image reflecting a second property different from the first property of the blood vessel; Inverting the first magnetic resonance image to obtain a third magnetic resonance image; And subtracting the second magnetic resonance image from the third magnetic resonance image.
- the first and second properties may include one of the form or thickness of each of the vascular membranes constituting the blood vessel, the form of the inner wall of the vessel, the form of the outer wall of the vessel, and the blood flow.
- the first magnetic resonance image may be a CISS (Constructive Interference in Steady State) T2 / T1 weighted image
- the second magnetic resonance image may be a T2 weighted image
- both the inner and outer walls of blood vessels can be imaged, thereby obtaining accurate blood vessel size and thickness between the outer and inner walls of blood vessels. have.
- FIG. 1 shows MRI images having different properties and shows TOF Angio, T2 weighted, and CISS T2 / T1 weighted images, respectively.
- FIG. 2 is an enlarged image of a blood vessel of an MRI image having different properties of FIG. 1.
- FIG. 3 is a flowchart illustrating a method of acquiring a blood vessel wall image according to an exemplary embodiment of the present invention.
- FIG. 4 is a view showing an image processed according to the blood vessel wall image acquisition method according to an embodiment of the present invention.
- FIG 5 is an enlarged image of a blood vessel wall image obtained according to a blood vessel wall image acquisition method according to an exemplary embodiment of the present invention.
- the configuration of the MRI system applied to the present invention is widely known and thus omitted.
- FIG. 1 shows MRI images having different properties
- (a), (b), and (c) show TOF Angio, T2 weighted, and CISS T2 / T1 weighted images, respectively, for the head region
- FIG. An enlarged image of the blood vessels is shown.
- the accompanying drawings in this specification is to obtain an image of the head region from a normal subject using a clinical 3.0 Tesla magnetic resonance imaging apparatus.
- the TOF Angio image which measures blood flow in arteries and veins flowing through the human body using an MRI device, reconstructs the image into a blood flow using a T1-weighted image of the blood flow, ie, a property according to the velocity of blood flow, that is, time of flight (TOF).
- TOF Angio 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 recently, microvascular images can be obtained. Therefore, although TOF Angio is known to be optimal for obtaining a whole image of blood vessels, it is possible that blood flow velocity can be changed by the inner wall structure of the blood vessel, and it is possible to accurately determine both the outer and inner wall structures of blood vessels. none.
- the T2-weighted image shows the transverse attenuation due to T2 relaxation due to the spindle-to-spindle effect, which can measure the thickness of the tunica adventitia.
- Constructive Interference in Steady State (CISS) T2 / T1-weighted images can image tunica media and simultaneously measure signals in the bloodstream.
- FIG. 3 is a flowchart illustrating a method for acquiring a blood vessel wall image according to an exemplary embodiment of the present invention
- FIG. 4 is a view illustrating an image processed according to a method for acquiring a blood vessel wall image according to an exemplary embodiment of the present invention.
- the CISS T2 / T1 weighted image 410 is acquired (S310), and the inverted image 420 is obtained (S320).
- FIG 5 is an enlarged image of a blood vessel wall image obtained according to a blood vessel wall image acquisition method according to an exemplary embodiment of the present invention.
- Figure 5 (a) shows the outer vessel (tunica adventitia), Figure 5 (b) shows the vascular media (tunica media).
- the inverted CISS T2 / T1-weighted image 420 by simply subtracting the T2-weighted image from the two MR images, that is, the inverted CISS T2 / T1-weighted image 420, an accurate structure including the outer wall and the inner wall of the blood vessel can be obtained.
- the internal wall structure enables accurate measurement without altering blood flow rate or inserting a vascular catheter for contrast agent administration.
- the CISS T2 / T1-weighted image is inverted and the T2-weighted image is subtracted to obtain an image of the result of the automatic segmentation of the blood vessel wall.
- two types reflecting different properties of the outer and inner walls of the blood vessel are described.
- MRI images are not necessarily limited to the above two.
- a similar effect may be obtained by obtaining a difference between an image representing an outline of an outer wall of a blood vessel and an image representing an outline of an inner wall of a blood flow or a blood vessel.
- the two images used may be an image including one of the form or thickness of one of the vascular membranes constituting the blood vessel, the form of the inner wall of the blood vessel, the form of the outer wall of the blood vessel, and the blood flow.
- a combination of T2 image, Proton image and T1 image, Proton image and T2 image, T1 image and T2 * image, Proton image and T2 * image may be possible.
- the two MRI images used to obtain the vascular wall auto split image may be obtained in any manner and order. However, what is obtained at a similar point would be advantageous to obtain accurate results.
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- Heart & Thoracic Surgery (AREA)
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Abstract
Description
Claims (5)
- 자기공명(Magnetic Resonance) 영상 시스템을 통해 혈관벽의 영상을 획득하는 방법으로서,혈관의 제1 성질을 반영하는 제1 자기공명 영상을 얻는 단계;혈관의 상기 제1 성질과는 다른 제2 성질을 반영하는 제2 자기공명 영상을 얻는 단계; 및상기 제1 자기공명 영상으로부터 상기 제2 자기공명 영상을 차감하는 단계를 포함하는 MRI 영상 획득 방법.
- 자기공명(Magnetic Resonance) 영상 시스템을 통해 혈관벽의 영상을 획득하는 방법으로서,혈관의 제1 성질을 반영하는 제1 자기공명 영상을 얻는 단계;혈관의 상기 제1 성질과는 다른 제2 성질을 반영하는 제2 자기공명 영상을 얻는 단계;상기 제1 자기공명 영상을 반전시켜 제3 자기공명 영상을 얻는 단계; 및상기 제3 자기공명 영상으로부터 상기 제2 자기공명 영상을 차감하는 단계를 포함하는 MRI 영상 획득 방법.
- 제1항 또는 제2항에 있어서,상기 제1 및 제2 성질은 각각 혈관을 구성하는 각 혈관막 중 하나의 형태 또는 두께, 혈관 내벽의 형태, 혈관 외벽의 형태, 혈류 중 하나를 포함하는 MRI 영상 획득 방법.
- 제1항 또는 제2항에 있어서,상기 제1 자기공명 영상은 CISS (Constructive Interference in Steady State) T2/T1 강조 영상인 MRI 영상 획득 방법.
- 제1항 또는 제2항에 있어서,상기 제2 자기공명 영상은 T2 강조 영상인 MRI 영상 획득 방법.
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
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JP2016571033A JP6377774B2 (ja) | 2014-06-18 | 2015-03-26 | 磁気共鳴映像システムにおいて血管壁の映像を得る方法 |
US15/319,150 US10420485B2 (en) | 2014-06-18 | 2015-03-26 | Method for acquiring a vascular wall image from magnetic resonance imaging |
EP15809179.3A EP3158929B1 (en) | 2014-06-18 | 2015-03-26 | Method for acquiring image of blood vessel wall in magnetic resonance imaging apparatus |
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KR10-2014-0074443 | 2014-06-18 | ||
KR1020140074443A KR101593310B1 (ko) | 2014-06-18 | 2014-06-18 | 자기 공명 영상 시스템에서 혈관벽 영상을 획득하는 방법 |
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US (1) | US10420485B2 (ko) |
EP (1) | EP3158929B1 (ko) |
JP (1) | JP6377774B2 (ko) |
KR (1) | KR101593310B1 (ko) |
WO (1) | WO2015194744A1 (ko) |
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KR102025356B1 (ko) * | 2017-11-17 | 2019-09-25 | 울산과학기술원 | 뇌에 존재하는 철의 시각화를 위한 방법 |
KR20210027905A (ko) * | 2019-09-03 | 2021-03-11 | 고려대학교 산학협력단 | Mri를 이용한 뇌혈관 예비능 측정방법 |
KR102336058B1 (ko) * | 2020-07-14 | 2021-12-07 | 주식회사 휴런 | 자기공명영상을 이용한 대뇌 미세출혈 탐지 장치 및 방법 |
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2014
- 2014-06-18 KR KR1020140074443A patent/KR101593310B1/ko active IP Right Grant
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- 2015-03-26 JP JP2016571033A patent/JP6377774B2/ja active Active
- 2015-03-26 EP EP15809179.3A patent/EP3158929B1/en active Active
- 2015-03-26 US US15/319,150 patent/US10420485B2/en active Active
- 2015-03-26 WO PCT/KR2015/002985 patent/WO2015194744A1/ko active Application Filing
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JP2002209867A (ja) * | 2001-01-10 | 2002-07-30 | Sogen Boku | 脳の磁気共鳴映像から白質と灰白質および脳脊髄液を分離し体積を算出する方法 |
US20100228115A1 (en) * | 2002-03-20 | 2010-09-09 | New York University | CSF biomarker dilution factor corrections by MIRI imaging and algorithm |
KR20100125884A (ko) * | 2009-05-22 | 2010-12-01 | 경희대학교 산학협력단 | 치아우식증 분석을 위한 이미지 변환 시스템 및 그 방법 |
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Also Published As
Publication number | Publication date |
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JP6377774B2 (ja) | 2018-08-22 |
US20170119275A1 (en) | 2017-05-04 |
US10420485B2 (en) | 2019-09-24 |
EP3158929A4 (en) | 2018-01-17 |
KR101593310B1 (ko) | 2016-02-11 |
EP3158929A1 (en) | 2017-04-26 |
KR20150145088A (ko) | 2015-12-29 |
JP2017516587A (ja) | 2017-06-22 |
EP3158929B1 (en) | 2021-03-03 |
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