CN110507327A - The method of oxygen metabolism rate is dynamically measured under a kind of low-oxygen environment - Google Patents
The method of oxygen metabolism rate is dynamically measured under a kind of low-oxygen environment Download PDFInfo
- Publication number
- CN110507327A CN110507327A CN201910623492.2A CN201910623492A CN110507327A CN 110507327 A CN110507327 A CN 110507327A CN 201910623492 A CN201910623492 A CN 201910623492A CN 110507327 A CN110507327 A CN 110507327A
- Authority
- CN
- China
- Prior art keywords
- oxygen
- hypo
- blood
- brain
- under
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/083—Measuring rate of metabolism by using breath test, e.g. measuring rate of oxygen consumption
- A61B5/0833—Measuring rate of oxygen consumption
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4058—Detecting, measuring or recording for evaluating the nervous system for evaluating the central nervous system
- A61B5/4064—Evaluating the brain
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Physiology (AREA)
- Neurology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Hematology (AREA)
- Cardiology (AREA)
- High Energy & Nuclear Physics (AREA)
- Emergency Medicine (AREA)
- Obesity (AREA)
- Pulmonology (AREA)
- Radiology & Medical Imaging (AREA)
- Psychology (AREA)
- Neurosurgery (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Abstract
The present invention relates to magnetic resonance imagings and physio-parameter detection field, and in particular to the method for oxygen metabolism rate is dynamically measured under a kind of low-oxygen environment: on the one hand, the influence in conjunction with dHb in artery and venous blood for BOLD signal establishes new model;On the other hand, the relationship between the M under the M and normal oxygen conditions under low-oxygen environment is established.Method proposed by the present invention is able to solve existing dynamic measurement CMRO2Model the problem of being not applied for low-oxygen environment, to study brain function under low-oxygen environment and cerebral disease provides new tool.
Description
Technical field
The present invention relates to magnetic resonance imagings and physio-parameter detection field, and in particular to dynamically measures under a kind of low-oxygen environment
The method of oxygen metabolism rate.
Background technique
The oxygen metabolism rate (CMRO2) of brain characterizes oxygen consumption of the brain tissue of unit volume within the unit time, is
The important physiological parameter of brain.CMRO2 has been demonstrated and a variety of cerebral diseases (such as headstroke, brain tumor and alzheimer's disease)
It is closely related.Dynamic measurement CMRO2 helps to probe into working mechanism of the brain in the task of execution.
Based on magnetic resonance imaging (MRI) technology, Davis et al. proposition is utilized in the method for traditional dynamic measurement CMRO2
Model (hereinafter referred to as " Davis model ")1.Davis model hypothesis brain is under normal oxygen environment, in other words arterial blood
Oxygen saturation (Ya) be similar to 1, the concentration of deoxyhemoglobin (dHb) is similar to 0.Brain blood volume is obtained by MRI technique
(CBV) signal, brain blood flow (CBF) signal, Blood oxygen level dependence (BOLD) signal and correction parameter M, establish equation
Extrapolate CMRO2 signal1。
However, brain is in low-oxygen environment under plateau or specific cerebral disease environment, Ya is lower than 0.9 in other words.This
When, Davis model is no longer applicable in, and reason has two.First, under the hypothesis of Davis model Ya~1, BOLD signal main source
The concentration of dHb in venous blood changes1, that is, have ignored the contribution of arterial blood.And under low-oxygen environment, in artery and venous blood
DHb all BOLD signal is contributed.Second, M is to utilize sucking high-carbon acid gas under normal oxygen conditions in Davis model
CBF rises when body, but the constant physiological phenomenon measurement of CMRO2 obtains1.And under low-oxygen environment, which is broken, low
M under oxygen environment can not be measured according to original method.
Summary of the invention
In order to solve the problems, such as that Davis model is not suitable for low-oxygen environment, the present invention is based on MRI technique, propose that one kind exists
The method of CMRO2 is dynamically measured under low-oxygen environment.On the one hand, in conjunction with influence of the dHb for BOLD signal in artery and venous blood
Establish new model;On the other hand, the relationship between the M under the M and normal oxygen conditions under low-oxygen environment is established.The present invention
The method of proposition is able to solve the problem of Davis model is not applied for low-oxygen environment, be low-oxygen environment under research brain function and
Cerebral disease provides new tool.
A kind of method dynamically measuring CMRO2 under low-oxygen environment proposed by the present invention, including following model scheme:
In following scheme, defines subscript 0, a and v and respectively represent quiescent condition, artery and vein;Subscript norm and
Hypo respectively represents normal oxygen and hypoxia;Alphabetical δ representation signal is under task status relative to the percentage under quiescent condition
Than, such as δ Β OLD=BOLD/BOLD0-1。
Boxerman et al. proposes the variable quantity of effective lateral relaxation time,With the oxygen saturation (Y) in blood
And the relationship between CBV is2:
Wherein A is the constant determined by field strength and sample properties;β is a characterizationBetween blood and tissue
The constant of the relationship of susceptibility difference, β=1.5.
Davis et al. propose δ BOLD andBetween relationship be1:
Wherein TE is the echo time.
In conjunction with formula (1) and (2), can obtain:
Blood is divided into arterial blood and venous blood (blood of capillary is prorated in plasma viscosity)3, Y
It can indicate are as follows:
Y=α Ya+(1-α)Yv, (4)
Wherein α is arterial blood fraction, α=0.3.
According to Fick's law, CMRO2, CBF and artery and vein oxygen content (CaO2And CvO2) between relationship may be expressed as:
CMRO2=CBF (CaO2-CvO2). (5)
Wherein CaO2And CvO2It can further indicate that are as follows:
WhereinRepresent the oxygen carrying capacity of hemoglobin (Hb);[Hb] represents the concentration of Hb;YaAnd YvIt respectively represents dynamic and static
The oxygen saturation of arteries and veins blood;PaO2And PvO2Respectively represent the partial pressure of oxygen of plasma viscosity;ε represents the solubility of oxygen in blood.
In formula (6) and (7), first item represents the oxygen in conjunction with Hb on the right side of equation, and Section 2 represents the oxygen of dissolution in blood
Gas, the latter < < the former, therefore can be ignored.
In conjunction with formula (5), (6) and (7), can obtain:
In conjunction with formula (3), (4) and (8), can derive:
Formula (1)-(9) are suitable for normal oxygen and low-oxygen environment.
Under normal oxygen conditions, by Ya=YA, 0=1 brings formula (9) into, can obtain
Wherein δ CBVnorm、δCBFnormWith δ BOLDnormIt can be obtained by MRI means measurement, MnormSucking can be passed through
The mode measurement of high-carbon acid gas, hyperoxia gas or high carbon acid, high-oxygen gas mixture body obtains1。
M under low-oxygen environmenthypoCan not measure to obtain by way of sucking high carbon acid, but can by formula (3) and
(4) it connects:
Wherein It can be surveyed by MRI means
It measures,It can be obtained by instrument for detecting sphygmus and blood oxygen saturation in the measurement of finger end.
Acquire MhypoIt afterwards, can be by MhypoBring formula (9) into, a kind of method for obtaining dynamically measuring CMRO2 under hypoxemia are as follows:
A kind of method dynamically measuring CMRO2 under low-oxygen environment proposed by the present invention, including following operating procedure (see
Fig. 1):
(1) mode that user sucks high-carbon acid gas, hyperoxia gas or high carbon acid, high-oxygen gas mixture body measures Mnorm。
(2) arterial oxygen saturation under the normal oxygen of user, quiescent condition is obtainedSvo2With brain blood volume signals
(3) arterial oxygen saturation under user's hypoxemia, quiescent condition is obtainedSvo2
Brain blood volume signalsBrain Blood oxygen level dependence signalThe variation percentage of signal of brain's blood streamWith arterial oxygen saturation under hypoxemia, completion particular task stateBrain blood volume signals CBVhypo, brain blood
Oxygen level relies on signal BOLDhypo, signal of brain's blood stream variation percentage CBFhypo;
(4) it is calculated based on above-mentioned acquired each signal value and corrects parameter M under low-oxygen environmenthypo;
(5) based on M obtained in each signal value and step (3) acquired under above-mentioned low-oxygen environmenthypoCalculate hypoxemia ring
Variation percentage δ under cerebral metabolism rate of oxygen of the user when completing particular task is relative to quiescent condition under border
CMRO2hypo。
Further, high-carbon acid gas, the mode of hyperoxia gas or high carbon acid, high-oxygen gas mixture body are sucked in the above method
Measure MnormMethod referring to Davis et al.1, Chiarelli et al.4Or Gauthier et al.5Method.
Further, above method medium sized vein blood oxygen saturation is measured by MRI means or priori knowledge obtains (being shown in Table
1);Arterial oxygen saturation is obtained by instrument for detecting sphygmus and blood oxygen saturation in the measurement of finger end.
Further, above method deutocerebral region δ BOLD, δ CBF and δ CBV signal are obtained by MRI means measurement.
Further, high-carbon acid gas described in step (1) is by 5%CO2, 21%O2And 74%N2Composition.
Further, low-oxygen environment Digital arteries blood oxygen level described in step (2) is lower than 90%.
Detailed description of the invention
Fig. 1 is the flow chart of the invention that CMRO2 is measured under low-oxygen environment.
Fig. 2 is that CMRO2 result of variations caused by visual task compares under normal oxygen conditions and low-oxygen environment.
Specific embodiment
In the following description, a large amount of concrete details are given in order to which those skilled in the art are more thorough to the present invention
The understanding at bottom.It is to be understood that disclosed herein is only a kind of representative preferred embodiment.Obviously, the present invention is simultaneously
It is not limited to any specific structure described herein, function, Apparatus and method for, it is possible to have other embodiments, or
It is the combination of other embodiments.Element number described in the present invention it is also contemplated that be multiple, unless explicitly limited for
Odd number.In addition, to avoid other examples from obscuring with the present invention, for some technical characteristics well known in the art and carefully
Section is not described.
Embodiment:
Gaseous environment: the high-carbon acid gas in this example is by 5%CO2, 21%O2And 74%N2Be made, low-oxygen environment by
12%O2And 88%N2It is made, is separately stored in gas cylinder, the non-duplicate formula that user is worn is passed through with the flow of 15L/min
Breathing mask.
Experimental duties: this example uses the visual task of block design, by 12 seconds prescans and 7 60 seconds tranquillization and view
Feel the block composition that stimulation is alternately present.Visual stimulus is present on the computer screen between magnet, is reflected by a mirror
Into the user's eye to lie low on scanning bed.Within the tranquillization period, user is it is seen that a black screen and screen
The cross blinkpunkt of central white.Within the visual stimulus period, the circular black and white gridiron pattern that user sees, each
With the frequency scintillation of 1,4 or 8Hz in the block of visual stimulus.During visual task, user needs the task at 432 seconds
It keeps opening eyes in the process, and watches the center of screen attentively.
MRI scan: in this example, δ CBV, δ CBF and δ BOLD are mentioned by 3 T MRI scan systems using Yang et al.
Vascular space occupation rate (VASO) out, the free label (ASL) of artery and BOLD signal synchronous collection sequence obtain6.For view
Feel task is chosen across commissura anterior, postcommissure and extends to one layer of primary visual cortex (V1) and be acquired.Specifically sweep
Retouch parameter are as follows: visual field size=260x 260mm2, the TE of matrix size=64x64, thickness=6mm, three signals is respectively
9.4ms, 11.6ms and 28.1ms, inversion thickness=102mm, the reversing time (TI) of CBV and CBF signal be respectively 680ms and
1200ms, repetition time (TR)=2000ms.
MRI signal processing: pass through ring in first time/second/third time echo acquirement label and non-marked image
Around be averaged/subtracting each other/average method7Obtain VASO/ASL/BOLD image.It is linear to the image removal acquired during visual task
Drift.Space smoothing is carried out to the image acquired during all tasks.Reaction mind is found by general linear model (GLM)
Voxel through activating.The definition of area-of-interest (ROI) is under low-oxygen environment, and VASO, ASL and BOLD signal all significantly swash
Voxel living.The time series and difference of his/her VASO, ASL and BOLD in the task of completion are extracted from the ROI of user
It is normalized into the baseline of corresponding signal.The definition of baseline is the average value at first minute all time point of each group task.For
Hemodynamics is avoided to respond the influence for result, preceding 8s data collected after each stimulation task starts are moved
It removes, the average value of remaining data is counted as δ VASO, δ CBF caused by the stimulation task or δ BOLD response.δ CBV passes through δ VASO root
It is calculated according to the method for Lin et al.8。
Further, by the δ CMRO in formula (10)20 is replaced with, and substitutes into what the measurement in high-carbon acid gas task obtained
Then the M under normal oxygen conditions is calculated in δ CBV, δ CBF and δ BOLDnorm.M under low-oxygen environmenthypoIt is to pass through formula
(12) it is calculated.In this example, the parameter reference table 1 in formula (11) and (12).Obtaining MnormAnd MhypoAfter,
δ CMRO under normal oxygen conditions and low-oxygen environment2Formula (10) can be passed through respectively and (12) are calculated.
Parameter list in 1 the present embodiment of table in formula (11) and (12)
Fig. 2 is to measure the variation of CMRO2 caused by the visual task knot under normal oxygen conditions and low-oxygen environment in this example
Fruit is compared.The variation of CMRO2 caused by visual task becomes lower than CMRO2 caused by visual task under normal oxygen conditions under low-oxygen environment
Change, this is consistent with the result for using existing mathematical modeling technique to be assessed9, illustrate the feasibility of this method.
Bibliography:
1 Davis TL,Kwong KK,Weisskoff RM,Rosen BR.Calibrated functional MRI:
Mapping the dynamics of oxidative metabolism.Proceedings of the National
Academy of Sciences 1998;95:1834–1839.
2 Boxerman JL,Bandettini PA,Kwong KK,Baker JR,Davis TL,Rosen BR et
al.The intravascular contribution to fMRI signal change:Monte Carlo modeling
and diffusion- weighted studies in vivo.Magn Reson Med 1995;34:4–10.
3 Lin W,Paczynski RP,Celik A,Kuppusamy K,Hsu CY,Powers
WJ.Experimental hypoxemic hypoxia:changes in R2*of brain parenchyma
accurately reflect the combined effects of changes in arterial and cerebral
venous oxygen saturation.Magn Reson Med 1998;39:474–481.
4 Chiarelli PA,Bulte DP,Wise R,Gallichan D,Jezzard P.A calibration
method for quantitative BOLD fMRI based on hyperoxia.NeuroImage 2007;37:808–
820.
5 Gauthier CJ,Hoge RD.A generalized procedure for calibrated MRI
incorporating hyperoxia and hypercapnia.Human Brain Mapping 2013;34:1053–
1069.
6 Yang YEA,Gu H,Stein EA.Simultaneous MRI acquisition of blood
volume,blood flow, and blood oxygenation information during brain
activation.Magn Reson Med 2004;52: 1407–1417.
7 Lu H,Donahue MJ,van Zijl PCM.Detrimental effects of BOLD signal in
arterial spin labeling fMRI at high field strength.Magn Reson Med 2006;56:
546–552.
8 Lin A-L,Fox PT,Yang YEA,Lu H,Tan L-H,Gao J-H.Evaluation of MRI
models in the measurement of CMRO2 and its relationship with CBF.Magn Reson
Med 2008;60:380– 389.
9 Rodrigues Barreto F,Mangia S,Garrido Salmon CE.Effects of reduced
oxygen availability on the vascular response and oxygen consumption of the
activated human visual cortex.J Magn Reson Imaging 2017;46:142–149.
Claims (9)
1. dynamically measuring the method for oxygen metabolism rate under a kind of low-oxygen environment, which comprises the following steps:
(1) it obtains and corrects parameter M under user's normal oxygen conditionsnorm;
(2) arterial oxygen saturation under the normal oxygen of user, quiescent condition is obtainedSvo2And brain
Blood volume signals
(3) arterial oxygen saturation under user's hypoxemia, quiescent condition is obtainedSvo2Brain blood body
Product signalBrain Blood oxygen level dependence signalThe variation percentage of signal of brain's blood streamWith it is low
Oxygen completes arterial oxygen saturation under particular task stateBrain blood volume signals CBVhypo, brain Blood oxygen level dependence letter
Number BOLDhypo, signal of brain's blood stream variation percentage CBFhypo;
(4) it is calculated based on above-mentioned acquired each signal value and corrects parameter M under low-oxygen environmenthypo;
(5) based on M obtained in each signal value and step (3) acquired under above-mentioned low-oxygen environmenthypoCalculating should under low-oxygen environment
Cerebral metabolism rate of oxygen of the user when completing particular task relative to quiescent condition under variation percentage δ CMRO2hypo。
2. method as described in claim 1, which is characterized in that M in step (1)normIn user sucking high-carbon acid gas or
It is measured under conditions of hyperoxia gas or high carbon acid, high-oxygen gas mixture body.
3. method as described in claim 1, which is characterized in that the brain Blood oxygen level dependence signal, signal of brain's blood stream and brain
Blood volume signals are obtained by the measurement of MRI means.
4. method as described in claim 1, which is characterized in that the Svo2 is measured by MRI means or elder generation
Test knowledge acquisition.
5. method as claimed in claim 4, which is characterized in that according to priori knowledge,For 0.6-0.7,For 0.5-
0.6。
6. method as described in claim 1, which is characterized in that the arterial oxygen saturation is existed by instrument for detecting sphygmus and blood oxygen saturation
The measurement of user's finger end obtains.
7. method as described in claim 1, which is characterized in that the low-oxygen environment Digital arteries blood oxygen level is lower than 90%.
8. method as described in claim 1, which is characterized in that step (4) is calculated by the following formula Mhypo:
Wherein, α is arterial blood fraction, α=0.3;β is the variable quantity of an effective lateral relaxation time of characterizationWith blood
The constant of the relationship of susceptibility difference, β=1.5 between liquid and tissue.
9. method as described in claim 1, which is characterized in that step (5) is calculated by the following formula δ CMRO2hypo:
,
Wherein, δ BOLDhypoFor the variation percentage of brain Blood oxygen level dependence signal,
δCBFhypoFor the variation percentage of signal of brain's blood stream,δCBVhypoFor brain blood volume letter
Number variation percentage,
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910623492.2A CN110507327B (en) | 2019-07-11 | 2019-07-11 | Method for dynamically measuring oxygen metabolism rate in low oxygen environment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910623492.2A CN110507327B (en) | 2019-07-11 | 2019-07-11 | Method for dynamically measuring oxygen metabolism rate in low oxygen environment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110507327A true CN110507327A (en) | 2019-11-29 |
CN110507327B CN110507327B (en) | 2020-05-22 |
Family
ID=68622444
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910623492.2A Active CN110507327B (en) | 2019-07-11 | 2019-07-11 | Method for dynamically measuring oxygen metabolism rate in low oxygen environment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110507327B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111096748A (en) * | 2019-12-19 | 2020-05-05 | 首都医科大学宣武医院 | Method for dynamically measuring brain oxygen metabolic rate |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6738653B1 (en) * | 1999-04-12 | 2004-05-18 | The State Of Israel, Atomic Energy Commission, Soreq Nuclear Research Center | Metabolism monitoring of body organs |
WO2007103706A2 (en) * | 2006-03-01 | 2007-09-13 | The Ohio State University | Nanoparticulate probe for in vivo monitoring of tissue oxygenation |
CN103519809A (en) * | 2013-10-22 | 2014-01-22 | 深圳先进技术研究院 | Method and system for estimating oxygen metabolism parameters |
CN104490393A (en) * | 2014-12-17 | 2015-04-08 | 中国科学院深圳先进技术研究院 | Brain blood oxygen level measuring method based on magnetic resonance |
WO2016094461A1 (en) * | 2014-12-09 | 2016-06-16 | The University Of North Carolina At Chapel Hill | Methods, systems, and computer readable media for estimating the index of cerebral oxygen metabolism (i-com) using magnetic resonance (mr) imaging |
CN107861080A (en) * | 2017-10-25 | 2018-03-30 | 北京大学 | A kind of method of dynamic measurement oxygen uptake rate |
CN108670240A (en) * | 2018-06-15 | 2018-10-19 | 中国工程物理研究院流体物理研究所 | The device and method of measurement biological tissue blood volume, blood oxygen, blood flow and oxygen metabolism |
-
2019
- 2019-07-11 CN CN201910623492.2A patent/CN110507327B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6738653B1 (en) * | 1999-04-12 | 2004-05-18 | The State Of Israel, Atomic Energy Commission, Soreq Nuclear Research Center | Metabolism monitoring of body organs |
WO2007103706A2 (en) * | 2006-03-01 | 2007-09-13 | The Ohio State University | Nanoparticulate probe for in vivo monitoring of tissue oxygenation |
CN103519809A (en) * | 2013-10-22 | 2014-01-22 | 深圳先进技术研究院 | Method and system for estimating oxygen metabolism parameters |
WO2016094461A1 (en) * | 2014-12-09 | 2016-06-16 | The University Of North Carolina At Chapel Hill | Methods, systems, and computer readable media for estimating the index of cerebral oxygen metabolism (i-com) using magnetic resonance (mr) imaging |
CN104490393A (en) * | 2014-12-17 | 2015-04-08 | 中国科学院深圳先进技术研究院 | Brain blood oxygen level measuring method based on magnetic resonance |
CN107861080A (en) * | 2017-10-25 | 2018-03-30 | 北京大学 | A kind of method of dynamic measurement oxygen uptake rate |
CN108670240A (en) * | 2018-06-15 | 2018-10-19 | 中国工程物理研究院流体物理研究所 | The device and method of measurement biological tissue blood volume, blood oxygen, blood flow and oxygen metabolism |
Non-Patent Citations (2)
Title |
---|
TIMOTHY L.DAVIS ET AL: "Calibrated functional MRI:Mapping the dynamics of oxidative metabolism", 《PROC.NATL.ACAD.SCI.》 * |
郑罡 等: "基于动脉自旋标记技术和磁敏感加权成像技术的定量脑氧代谢率研究", 《生物物理学报》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111096748A (en) * | 2019-12-19 | 2020-05-05 | 首都医科大学宣武医院 | Method for dynamically measuring brain oxygen metabolic rate |
CN111096748B (en) * | 2019-12-19 | 2023-06-02 | 首都医科大学宣武医院 | Method for dynamically measuring cerebral oxygen metabolism rate |
Also Published As
Publication number | Publication date |
---|---|
CN110507327B (en) | 2020-05-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | Cerebrovascular reactivity (CVR) MRI with CO2 challenge: a technical review | |
Carusone et al. | Hemodynamic response changes in cerebrovascular disease: implications for functional MR imaging | |
Chiarelli et al. | A calibration method for quantitative BOLD fMRI based on hyperoxia | |
Gagnon et al. | Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements | |
Chen et al. | MRI measurement of the BOLD-specific flow–volume relationship during hypercapnia and hypocapnia in humans | |
Bangen et al. | Differential age effects on cerebral blood flow and BOLD response to encoding: associations with cognition and stroke risk | |
Bhogal et al. | Investigating the non-linearity of the BOLD cerebrovascular reactivity response to targeted hypo/hypercapnia at 7 T | |
US10492682B2 (en) | Ophthalmic analysis device and ophthalmic analysis program | |
De Vis et al. | Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates | |
Champagne et al. | A novel perspective to calibrate temporal delays in cerebrovascular reactivity using hypercapnic and hyperoxic respiratory challenges | |
Buterbaugh et al. | Cerebrovascular reactivity in young subjects with sleep apnea | |
CN111528845A (en) | ASL image processing method for unilateral middle cerebral artery severe stenosis/occlusion | |
Churchill et al. | Evaluating cerebrovascular reactivity during the early symptomatic phase of sport concussion | |
Guensch et al. | The impact of hematocrit on oxygenation-sensitive cardiovascular magnetic resonance | |
Mark et al. | Indication of BOLD-specific venous flow-volume changes from precisely controlled hyperoxic vs. hypercapnic calibration | |
Zhang et al. | Additive value of 3T cardiovascular magnetic resonance coronary angiography for detecting coronary artery disease | |
Ma et al. | Cerebral OEF quantification: A comparison study between quantitative susceptibility mapping and dual‐gas calibrated BOLD imaging | |
WO2005044104A1 (en) | Method of quantifying blood flow through heart muscle | |
Geurts et al. | Vascular reactivity in small cerebral perforating arteries with 7 T phase contrast MRI–A proof of concept study | |
CN110507327A (en) | The method of oxygen metabolism rate is dynamically measured under a kind of low-oxygen environment | |
Stadler et al. | Quantitative and O2 enhanced MRI of the pathologic lung: findings in emphysema, fibrosis, and cystic fibrosis | |
Luu et al. | Cardiovascular risk is associated with a transmural gradient of myocardial oxygenation during adenosine infusion | |
Barash et al. | Functional magnetic resonance imaging monitoring of pathological changes in rodent livers during hyperoxia and hypercapnia | |
Leoni et al. | Quantitative evaluation of hemodynamic response after hypercapnia among different brain territories by fMRI | |
Champagne et al. | Insights into cerebral tissue-specific response to respiratory challenges at 7T: evidence for combined blood flow and CO2-mediated effects |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |