CN102116856A - Transverse relaxation time measuring method and system - Google Patents

Transverse relaxation time measuring method and system Download PDF

Info

Publication number
CN102116856A
CN102116856A CN 201010613764 CN201010613764A CN102116856A CN 102116856 A CN102116856 A CN 102116856A CN 201010613764 CN201010613764 CN 201010613764 CN 201010613764 A CN201010613764 A CN 201010613764A CN 102116856 A CN102116856 A CN 102116856A
Authority
CN
China
Prior art keywords
relaxation time
echoed signal
valuation
fitting
priori
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
Application number
CN 201010613764
Other languages
Chinese (zh)
Other versions
CN102116856B (en
Inventor
戴睿彬
潘艳丽
刘新
郑海荣
吴垠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai United Imaging Healthcare Co Ltd
Original Assignee
Shenzhen Institute of Advanced Technology of CAS
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen Institute of Advanced Technology of CAS filed Critical Shenzhen Institute of Advanced Technology of CAS
Priority to CN 201010613764 priority Critical patent/CN102116856B/en
Publication of CN102116856A publication Critical patent/CN102116856A/en
Application granted granted Critical
Publication of CN102116856B publication Critical patent/CN102116856B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

The invention provides a transverse relaxation time measuring method. The method comprises the following steps of: acquiring an echo signal; fitting the echo signal to acquire a prior estimate value of the relaxation time; and calculating echo time interval according to the prior estimate value, and feeding the echo time interval to the fitting calculation to acquire a measurement value of the relaxation time. Through rough estimation on the relaxation by the fitting calculation, the transverse relaxation time measuring method and system realize optimization on the signal to noise ratio of the relaxation time in the echo signal, so that the accuracy of relaxation time measurement is effectively improved.

Description

T2 measuring method and system
[technical field]
The present invention relates to biomedical technology, particularly relate to a kind of T2 measuring method and system.
[background technology]
MRI (Magnetic Resonance Imaging, magnetic resonance imaging) technology because have very high resolution, to the measurement of the multiple parameter of human body and can utilize the relaxation time weighting that tumour is carried out early diagnosis, evaluation and approved widely and use.Relaxation time is the most basic contrast mechanisms of magnetic resonance imaging.Utilize the feature in relaxation time to distinguish, to cut apart and to classify, thereby improve the detection and the supervision level of disease tissue.
In the clinical practice of reality, common direct various weighted images of collection, relaxation time weighted image for example, and carry out the diagnosis of various diseases according to the relaxation time weighted image, still, this diagnostic mode needs to depend on doctor's experience to a great extent.In generating the process of weighted image, because the weight difference of each parameter weighting, and weight can be along with all multifactor and change, even obtain weighted image by mixed weighting, even therefore veteran doctor also unavoidably misidentification can take place.
[summary of the invention]
Based on this, be necessary to provide a kind of T2 measuring method that improves accuracy.
In addition, also be necessary to provide a kind of T2 measuring system that improves accuracy.
A kind of T2 measuring method may further comprise the steps: obtain echoed signal; Described echoed signal is carried out the priori valuation that The Fitting Calculation obtains the relaxation time; Calculate the echo time interval and feed back to the measured value that obtains the relaxation time in the The Fitting Calculation according to described priori valuation.
Preferably, the described step of obtaining echoed signal is: obtain echoed signal by magnetic resonance pulse sequence.
Preferably, describedly described echoed signal is carried out the step that The Fitting Calculation obtains the priori valuation in relaxation time be: described echoed signal is carried out the priori valuation that linear fit obtains the relaxation time by least square method.
Preferably, described step of echoed signal being carried out linear fit by least square method is that preceding at least 3 echoed signals in the echoed signal are carried out least-squares algorithm linear fitting.
Preferably, described according to described priori valuation calculate the echo time at interval and the step that feeds back to the measured value that obtains the relaxation time in the The Fitting Calculation be: calculate the echo time at interval according to described priori valuation; Fed back to the measured value that obtains the relaxation time in the linear fit of least square method the described echo time at interval.
A kind of T2 measuring system comprises at least: acquisition module is used to obtain echoed signal; Fitting module is used for described echoed signal is carried out the priori valuation that The Fitting Calculation obtains the relaxation time, and obtains the measured value in relaxation time by The Fitting Calculation according to the echo time interval of computing module feedback; Computing module is used for calculating described echo time interval and feeding back to The Fitting Calculation according to described priori valuation.
Preferably, described acquisition module is used for obtaining echoed signal by magnetic resonance pulse sequence.
Preferably, described fitting module is used for by least square method described echoed signal being carried out the priori valuation that linear fit obtains the relaxation time.
Preferably, described fitting module is used for preceding at least 3 echoed signals of echoed signal are carried out least-squares algorithm linear fitting.
Preferably, described fitting module is further used for the echo time of feedback is obtained by the linear fit of least square method at interval the measured value in relaxation time.
Above-mentioned T2 measuring method and system carry out the guestimate in relaxation time by The Fitting Calculation, and then have realized the optimization to relaxation time signal to noise ratio (S/N ratio) in the echoed signal, have improved the accuracy of relaxation time measurement effectively.
[description of drawings]
Fig. 1 is the process flow diagram of T2 measuring method among the embodiment;
Fig. 2 be among the embodiment echo time at interval with the graph of a relation in relaxation time;
Fig. 3 is the synoptic diagram of T2 measuring system among the embodiment;
Fig. 4 is that the conventional relaxed Method Of Time Measurement of SNR=50 in the computer simulation emulation and the performance of T2 measuring method compare;
Fig. 5 is that the conventional relaxed Method Of Time Measurement of SNR=10 in the computer simulation emulation and the performance of T2 measuring method compare;
Fig. 6 is the phantom relaxation time collection of illustrative plates of T2 measuring method in the phantom measurement;
Fig. 7 is the phantom relaxation time collection of illustrative plates of conventional relaxed Method Of Time Measurement in the phantom measurement;
Fig. 8 is the knee relaxation time collection of illustrative plates of T2 measuring method in the anthropological measuring;
Fig. 9 is the knee relaxation time collection of illustrative plates of conventional relaxed Method Of Time Measurement in the anthropological measuring.
[embodiment]
Fig. 1 shows the method flow that a T2 among the embodiment is measured, and may further comprise the steps:
In step S10, obtain echoed signal.In the present embodiment, the step of obtaining echoed signal is for to obtain echoed signal by magnetic resonance pulse sequence.Obtain the echoed signal of whole imaging region, but, only calculate at the echoed signal in the area-of-interest for reducing the calculated amount in the follow-up fit procedure.
For example, can adopt many echoes SE sequence (self-rotary echo-pulse series) to carry out cross-section bit scan, obtain echoed signal, so that this echoed signal is carried out match.
In step S30, echoed signal is carried out the priori valuation that The Fitting Calculation obtains the relaxation time.In the present embodiment, the echoed signal after the intercepting is carried out guestimate, obtain the priori valuation in relaxation time by match.Particularly, can obtain the priori valuation in relaxation time by the mode of least-squares algorithm linear fitting.Because the echoed signal signal to noise ratio (S/N ratio) of leading portion is higher in the echo train, makes match comparatively accurate, can utilize the echoed signal of leading portion in the echo train to carry out match.The step of echoed signal being carried out linear fit by least square method refers to carries out least-squares algorithm linear fitting to preceding at least 3 echoed signals in the echoed signal.But, in fit procedure, the echo that participates in least-squares algorithm linear fitting is many more, the needed time is also just long more, therefore in a preferred embodiment, only preceding 3 echoed signals in the echoed signal are carried out least-squares algorithm linear fitting, thereby in the minimizing time and improved under the situation of match speed, also guaranteed the accuracy of match.
In step S50, valuation calculates the echo time interval and feeds back to the measured value that obtains the relaxation time in the The Fitting Calculation according to priori.In the present embodiment, the echo time is meant the time interval between adjacent two echoed signals in the imaging sequence echo train at interval.According to the priori valuation in conjunction with relaxation time signal to noise ratio (S/N ratio) (T 2-to-noise-ratio, T 2NR) calculate the optimum echo time at interval, and echo time that should optimum feed back in the The Fitting Calculation at interval and go, utilize the echo time of the optimum that calculates to carry out least-squares algorithm linear fitting at interval.To feed back at interval through the echo time that relaxation time signal to noise ratio (S/N ratio) optimization obtains in the linear fit of least square method,, improve the accuracy of relaxation time measurement effectively to obtain relaxation time measured value through optimizing.
The priori valuation T that match is obtained 2And standard deviation
Figure BDA0000041627060000041
Bring in the following formula, to obtain echo time interval delta T E.
T 2 NR = T 2 σ T 2 = S 1 σ · ΔTE T 2 · 1 1 + e 2 ΔTE T 2 - - - ( 1 )
Wherein, S is an echoed signal intensity, and σ is the standard variance of Gaussian noise,
Figure BDA0000041627060000043
Be the standard deviation of echoed signal, Δ TE is the echo time interval.S 1/ σ at imaging parameters one regularly can be used as scale parameter and handle.
Particularly, in the measurement in relaxation time, corresponding standard deviation of relaxation time is the parameter of important sign noise transmission, satisfy TR>>TE, TR>>T 1Condition under, the expression formula of signal intensity can be approximately in the echoed signal:
S=S 0exp(-TE/T 2) (2)
Wherein, TR is the repetition time, and TE is echo time (from the time interval between excitation pulse and the generation echo), T 1Be reversing time, S 0Signal intensity during for TE=0.
By the visible relaxation time T of (2) formula 2Can estimate with the ratio of the echoed signal intensity of two different echo time TE, suppose that two echo times are respectively TE 1And TE 2, and TE 2>TE 1, then:
S 1=S 0exp(-TE 1/T 2)?(3)
S 2=S 0exp(-TE 2/T 2)?(4)
Wherein, S 1Be to be TE the echo time 1The time echoed signal intensity, S 2Be to be TE the echo time 2The time echoed signal intensity.
Relaxation time T then 2Computing formula be:
T 2 = TE 2 - TE 1 ln ( S 1 / S 2 ) - - - ( 5 )
Consider The noise, Gaussian noise be superimposed on above-mentioned two echoed signals, by the fundamental error analysis principle, can with
Figure BDA0000041627060000045
Regard S as 1And S 2Function:
σ T 2 2 = σ 2 [ ( ∂ T 2 ∂ S 1 ) 2 + ( ∂ T 2 ∂ S 2 ) 2 ] - - - ( 6 )
Can try to achieve the standard deviation in relaxation time through deriving is:
σ T 2 = σ S 1 · T 2 2 ΔTE · 1 + e 2 ΔTE T 2 - - - ( 7 )
Finally, the relaxation time signal to noise ratio (S/N ratio) can ask into:
T 2 NR = T 2 σ T 2 = S 1 σ · ΔTE T 2 · 1 1 + e 2 ΔTE T 2 - - - ( 8 )
Wherein, S 1/ σ is TE 1The signal to noise ratio (S/N ratio) that constantly measures at imaging parameters one regularly, can be used as scale parameter and handle, and Δ TE is two echo times intervals between the echo.
This shows T 2The optimization of NR comes down to about Δ TE and T 2The binary function maximal value find the solution problem.As shown in Figure 2, as relaxation time T 2One regularly, optimum T 2The NR value is by the Δ TE decision of correspondence; As Δ TE one timing, corresponding relaxation time T 2Optimum T will be determined 2NR.Therefore, for relaxation time T 2Measurement, can be equivalent to and work as T 2Value one is regularly found the solution and is made T 2Δ TE when NR gets maximal value, i.e. Zui You Δ TE, thus obtain optimum echo time of being used to carry out curve fitting at interval.
In addition, also be necessary to provide a kind of T2 measuring system.As shown in Figure 3, this system comprises acquisition module 10, fitting module 30 and computing module 50.
Acquisition module 10 is used to obtain echoed signal.In the present embodiment, acquisition module 10 obtains echoed signal by the magnetic resonance imaging sequence.
For example, acquisition module 10 can adopt many echoes SE sequence (self-rotary echo-pulse series) to carry out cross-section bit scan, obtains echoed signal, so that this echoed signal is carried out match.
Fitting module 30 is used for echoed signal is carried out the priori valuation that The Fitting Calculation obtains the relaxation time, and obtains the measured value in relaxation time by The Fitting Calculation according to the echo time interval of feedback.In the present embodiment, the echoed signal after 30 pairs of interceptings of fitting module is carried out guestimate, obtains the priori valuation in relaxation time by match.
Fitting module 30 is carried out the priori valuation that linear fit obtains the relaxation time by least square method to the echoed signal after intercepting.Particularly, the relaxation time is estimated roughly, obtained the priori valuation in relaxation time by least-squares algorithm linear fitting.Among another embodiment, because the echoed signal signal to noise ratio (S/N ratio) of leading portion is higher in the echo train, make match comparatively accurate, fitting module 30 can utilize the echoed signal of leading portion in the echo train to carry out match.In a preferred embodiment, for further improving the accuracy of match, improve match speed, preceding at least 3 echoed signals in 30 pairs of echoed signals of fitting module are carried out least-squares algorithm linear fitting.
Fitting module 30 is further used for the echo time of feedback is obtained by the linear fit of least square method at interval the measured value in relaxation time.In the present embodiment, fitting module 30 will feed back to through the echo time that relaxation time signal to noise ratio (S/N ratio) optimization obtains in the linear fit of least square method, to obtain the relaxation time measured value through optimizing, improve the accuracy of relaxation time measurement effectively.
Computing module 50 is used for according to priori valuation and calculates the echo time at interval and feed back to The Fitting Calculation.In the present embodiment, the echo time is meant the time interval between adjacent two echoed signals in the imaging sequence echo train at interval.Computing module 50 obtains the optimum echo time at interval according to the priori valuation in conjunction with the relaxation time snr computation, and should feed back in the The Fitting Calculation at interval the echo time and go, utilize the echo time of the optimum that calculates to carry out least-squares algorithm linear fitting at interval.
Particularly, computing module 50 priori valuation T that match is obtained 2Bring in the following formula, to obtain echo time interval delta T E.
T 2 NR = T 2 σ T 2 = S 1 σ · ΔTE T 2 · 1 1 + e 2 ΔTE T 2
Wherein, S 1Be echoed signal intensity, σ is the standard variance of Gaussian noise,
Figure BDA0000041627060000062
Be the standard deviation of echoed signal, Δ TE is the echo time interval, S 1/ σ at imaging parameters one regularly can be used as scale parameter and handle.
Below in conjunction with computer simulation emulation, phantom measurement and anthropological measuring, the accuracy of above-mentioned T2 measuring method and system is assessed and contrasted.Phantom and human experimentation are all carried out on the 0.35T magnetic resonance device, and used coil is a knee coil.Computer simulation emulation and Data Post all on Windows XP platform, are used MATLAB R2008a, realize that with the software of establishment voluntarily wherein view data is the DICOM form.
Computer simulation emulation produces the spin echo signal of simulation by (1) formula, TE=5~130ms wherein, echo sounding Δ TE=5ms, T 2=10~120MS.With zero-mean, standard variance is that Gaussian noise and the echoed signal of σ superposes, and obtains final signals and associated noises.Signal to noise ratio snr (SNR=S during TE=0 0/ σ) be respectively 10 and 50.To different SNR and T 210,000 tests are respectively done in combination, calculate T at last 2The average and the standard variance of value are assessed T 2The accuracy of measuring.
In the conventional relaxed Method Of Time Measurement, noise gate σ NoiseEqual the standard variance σ of noise, signal intensity S in the echo train<2 σ NoiseFirst echoed signal and echo afterwards thereof will be clipped, remaining echoed signal will be used for The Fitting Calculation.And T in the T2 measuring method 2The priori valuation obtain by first three the echoed signal match in the echo train.
Compared under different SNR conditions the performance of conventional relaxed Method Of Time Measurement and above-mentioned T2 measuring method among Fig. 4 to Fig. 5.Under the high s/n ratio condition, promptly during SNR=50, two kinds of methods all obtain result more accurately, all show with the fine of actual value to coincide, but at T 2Be the part of 10~50ms, the conventional relaxed Method Of Time Measurement is to T 2The priori valuation have a little higher, and above-mentioned T2 measuring method is at whole T 2All keep stable in the dynamic range of value and valuation accurately.Under the low signal-to-noise ratio condition (Fig. 5), promptly during SNR=10, two kinds of methods all show T 2Over-evaluate.Comparatively speaking, the conventional relaxed Method Of Time Measurement to over-evaluate degree bigger, and at whole T 2Continue to over-evaluate in the dynamic range of value, and above-mentioned T2 measuring method is at T 2Value is the part of 80~120ms, over-evaluates situation and restrains oneself, and tends to accurate valuation gradually.In general, above-mentioned T2 measuring method has T more accurately than the conventional relaxed Method Of Time Measurement 2Valuation, and at whole T 2Show the robustness stronger in the dynamic range of value to noise.The size of SNR can influence two kinds of methods to T 2Valuation, SNR is low more, T 2Valuation high more, big more with the deviation of ideal value, error is big more.
The multi-functional phantom of phantom measurement experiment use standard is measured, and the imaging aspect has 5 cylindrical regions, is filled with 0.001%, 0.002%, 0.004%, 0.007% and 0.012% MnCl respectively 24H 2O and distilled water.Peripheral filling material is 0.125%NiSO 46H 2O, 0.5%NaCl and distilled water.The concentration difference causes solution T 2The difference of value, and concentration is big more, T 2Be worth more little.The room temperature of scanning room is controlled at 24 ℃.
Adopt the many echo sequences of individual layer to carry out cross-section bit scan, imaging parameters is: FOV=220mm * 220mm, TR=5000ms, TE=20~500ms, echo sounding Δ TE=20ms, echo train length ETL=25, times of collection Nacq=1, bandwidth BW=80Hz/pixel, bed thickness TH=7mm, image array 256 * 256.
With 25 width of cloth T that obtain 2Weighted image calculates the priori valuation in relaxation time through least-squares algorithm linear fitting.Wherein, in the conventional relaxed Method Of Time Measurement, noise gate σ NoiseStandard variance by signal homogeneous area in first echo is determined signal amplitude S in the echo train<2 σ NoiseFirst echoed signal and echoed signal afterwards thereof will be clipped, remaining echoed signal will be used for The Fitting Calculation.In the above-mentioned T2 measuring method, T 2The priori valuation obtain by first three echo match.The T that after The Fitting Calculation, obtains 2Collection of illustrative plates as shown in Figure 6.
Among Fig. 7, see the T of above-mentioned T2 measuring method gained on the whole 2The signal to noise ratio (S/N ratio) of collection of illustrative plates is better than the conventional relaxed Method Of Time Measurement, especially is 0.012% and 0.007% zone (short T in concentration 2).
The phantom experiment shows that the priori valuation of resulting relaxation time of self-adaptation type approximating method is on the low side than conventional relaxed Method Of Time Measurement gained result, and at whole T 2In the dynamic range of value, can both obtain T more accurately 2Measured value.Especially for short T 2The measurement of value, the advantage of above-mentioned T2 measuring method has clearly demonstrated fully the robustness of this method to noise, and T 2The optimization of NR is to T 2The improvement effect of measurement accuracy.
Anthropological measuring is carried out the knee imaging to 25 years old healthy volunteer, and room temperature is controlled at 24 ℃.Adopt the many echo sequences of multilayer to carry out cross-section bit scan, imaging parameters is: FOV=160mm * 160mm, TR=1250ms, TE=15~120ms, echo sounding Δ TE=15ms, echo train length ETL=8, image array 256 * 256, times of collection Nacq=2, bandwidth BW=130Hz/pixel, bed thickness TH=4mm gets 9 layers of cross-section positions, interlamellar spacing 4mm, total scanning time TA=6 ' 44 ".
In the conventional relaxed Method Of Time Measurement, noise gate σ NoiseDetermine consistent with the process of above-mentioned phantom measurement.In the T2 measuring method, T 2The priori valuation obtain by first three echo match.
By Fig. 8 and shown in Figure 9, as articular cartilage, muscle etc., with the resulting T of T2 measuring method 2Measured value is on the low side than the conventional relaxed Method Of Time Measurement, so the conventional relaxed Method Of Time Measurement is to T 2The phenomenon that value is over-evaluated is confirmed once more.From T 2See on the collection of illustrative plates that the collection of illustrative plates that the T2 measuring method obtains is more level and smooth, details is abundanter, has higher signal to noise ratio (S/N ratio).
Above-mentioned T2 measuring method and system can be applicable in the diagnosis of osteoarthritis; knee joint is the most complicated prudent joint of human body maximum; articular cartilage is an indispensable important structure in the knee joint normal activity, and age growth and various joint disease all can cause the regression of cartilage or damage and influence kneed normal activity.But because it can't directly jeopardize people's life, often unlike other diseases, come into one's own, fail in time to treat, cause nonreversibility to change and easily be left in the basket.(osteoarthritis OA) is the key factor that influences knee joint stability to osteoarthritis, also is simultaneously modal a kind of joint diseases in the global range.Along with the development of each related discipline such as molecular biology, materia medica, make the early treatment of cartilage lesion become possibility, this just need carry out early diagnosis to cartilage lesion.Magnetic resonance has big diagnostic value as a kind of method of Noninvasive is verified for cartilage lesion, can come the long term monitoring osteoarthritis by the variation of measuring magnetic resonance relaxation time quantitative test articular cartilage inner tissue composition, extensively be approved at present.
Above-mentioned T2 measuring method and system carry out the guestimate in relaxation time by The Fitting Calculation, and then have realized the optimization to relaxation time signal to noise ratio (S/N ratio) in the echoed signal, have improved the accuracy of relaxation time measurement effectively.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.

Claims (10)

1. T2 measuring method may further comprise the steps:
Obtain echoed signal;
Described echoed signal is carried out the priori valuation that The Fitting Calculation obtains the relaxation time;
Calculate the echo time interval and feed back to the measured value that obtains the relaxation time in the The Fitting Calculation according to described priori valuation.
2. T2 measuring method according to claim 1 is characterized in that, the described step of obtaining echoed signal is:
Obtain echoed signal by magnetic resonance pulse sequence.
3. T2 measuring method according to claim 1 is characterized in that, describedly described echoed signal is carried out the step that The Fitting Calculation obtains the priori valuation in relaxation time is:
By least square method described echoed signal is carried out the priori valuation that linear fit obtains the relaxation time.
4. T2 measuring method according to claim 3 is characterized in that, described step of echoed signal being carried out linear fit by least square method is that preceding at least 3 echoed signals in the echoed signal are carried out least-squares algorithm linear fitting.
5. according to the T2 measuring method of claim 3, it is characterized in that, described according to described priori valuation calculate the echo time at interval and the step that feeds back to the measured value that obtains the relaxation time in the The Fitting Calculation be:
Calculate the echo time at interval according to described priori valuation;
Fed back to the measured value that obtains the relaxation time in the linear fit of least square method the described echo time at interval.
6. a T2 measuring system is characterized in that, comprises at least:
Acquisition module is used to obtain echoed signal;
Fitting module is used for described echoed signal is carried out the priori valuation that The Fitting Calculation obtains the relaxation time, and obtains the measured value in relaxation time by The Fitting Calculation according to the echo time interval of computing module feedback;
Computing module is used for calculating described echo time interval and feeding back to The Fitting Calculation according to described priori valuation.
7. T2 measuring system according to claim 6 is characterized in that described acquisition module is used for obtaining echoed signal by magnetic resonance pulse sequence.
8. T2 measuring system according to claim 6 is characterized in that, described fitting module is used for by least square method described echoed signal being carried out the priori valuation that linear fit obtains the relaxation time.
9. T2 measuring method according to claim 8 is characterized in that, described fitting module is used for preceding at least 3 echoed signals of echoed signal are carried out least-squares algorithm linear fitting.
10. T2 measuring method according to claim 8 is characterized in that, described fitting module is further used for the echo time of feedback is obtained by the linear fit of least square method at interval the measured value in relaxation time.
CN 201010613764 2010-12-30 2010-12-30 Transverse relaxation time measuring method and system Active CN102116856B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010613764 CN102116856B (en) 2010-12-30 2010-12-30 Transverse relaxation time measuring method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010613764 CN102116856B (en) 2010-12-30 2010-12-30 Transverse relaxation time measuring method and system

Publications (2)

Publication Number Publication Date
CN102116856A true CN102116856A (en) 2011-07-06
CN102116856B CN102116856B (en) 2013-01-16

Family

ID=44215712

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010613764 Active CN102116856B (en) 2010-12-30 2010-12-30 Transverse relaxation time measuring method and system

Country Status (1)

Country Link
CN (1) CN102116856B (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103110421A (en) * 2013-02-07 2013-05-22 四川大学华西医院 Method of improving signal to noise ratio of magnetic resonance imaging and system thereof
CN103218788A (en) * 2013-04-24 2013-07-24 南方医科大学 Method for measuring liver magnetic resonance crosswise relaxation rate R2* parameter
CN103675722A (en) * 2013-11-27 2014-03-26 中国石油大学(华东) Automatic matching method for acquisition parameters of rock T2-G tests
CN106597338A (en) * 2016-12-28 2017-04-26 北京航空航天大学 Method for measuring atomic transverse relaxation time based on electron resonance phase frequency analysis
CN108152770A (en) * 2017-12-22 2018-06-12 深圳先进技术研究院 A kind of method and device of synchronous detection displacement of tissue and T2
CN108496091A (en) * 2016-01-22 2018-09-04 圣纳普医疗(巴巴多斯)公司 Magnetic resonance imaging magnetic field relies on relaxation method system and method
WO2018184409A1 (en) * 2017-04-07 2018-10-11 厦门大学 Method for measuring longitudinal relaxation time of protons under nonuniform magnetic field
CN109633500A (en) * 2018-12-18 2019-04-16 上海联影医疗科技有限公司 The determination method, apparatus and MR imaging apparatus of transverse relaxation mapping graph
WO2019119506A1 (en) * 2017-12-20 2019-06-27 深圳先进技术研究院 Magnetic resonance temperature imaging method and device
CN110174632A (en) * 2019-06-10 2019-08-27 上海东软医疗科技有限公司 MR imaging method, device, imaging device and magnetic resonance imaging system
CN110855356A (en) * 2019-10-21 2020-02-28 同济大学 Resonance wave beam communication device based on detection feedback control
CN111721795A (en) * 2020-06-29 2020-09-29 无锡鸣石峻致医疗科技有限公司 Material measurement method and system based on nuclear magnetic resonance system
CN113093078A (en) * 2021-03-31 2021-07-09 无锡鸣石峻致医疗科技有限公司 Method and device for determining linear relation between radio frequency pulse intensity and flip angle, computer equipment and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001149340A (en) * 1999-11-29 2001-06-05 Toshiba Corp Mri device and relaxation time measuring method of spin
US20070152666A1 (en) * 2005-12-20 2007-07-05 Stefan Thesen Method for determination of the transverse relaxation time t2* in mr data
CN101006356A (en) * 2004-08-13 2007-07-25 皇家飞利浦电子股份有限公司 Mr method for the quantitative determination of local relaxation time values
CN101010597A (en) * 2004-08-25 2007-08-01 皇家飞利浦电子股份有限公司 Mr method of determining local relaxation time values using calibrated phantom
US20080024128A1 (en) * 2006-07-31 2008-01-31 Schlumberger Technology Corporation Nuclear magnetic resonance measurement techniques in non-uniform fields

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001149340A (en) * 1999-11-29 2001-06-05 Toshiba Corp Mri device and relaxation time measuring method of spin
CN101006356A (en) * 2004-08-13 2007-07-25 皇家飞利浦电子股份有限公司 Mr method for the quantitative determination of local relaxation time values
CN101010597A (en) * 2004-08-25 2007-08-01 皇家飞利浦电子股份有限公司 Mr method of determining local relaxation time values using calibrated phantom
US20070152666A1 (en) * 2005-12-20 2007-07-05 Stefan Thesen Method for determination of the transverse relaxation time t2* in mr data
US20080024128A1 (en) * 2006-07-31 2008-01-31 Schlumberger Technology Corporation Nuclear magnetic resonance measurement techniques in non-uniform fields

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
《中国医学影像技术》 20041231 康宁,等 自旋密度rho、弛豫时间T1和T2定量磁共振成像 全文 1-10 第20卷, 第12期 *
《杭州师范学院学报》 19960531 陈世毅 核磁共振弛豫时间的测量 全文 1-10 , 第3期 *

Cited By (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103110421A (en) * 2013-02-07 2013-05-22 四川大学华西医院 Method of improving signal to noise ratio of magnetic resonance imaging and system thereof
CN103110421B (en) * 2013-02-07 2016-02-10 四川大学华西医院 Improve method and the system thereof of nuclear magnetic resonance signal to noise ratio
CN103218788A (en) * 2013-04-24 2013-07-24 南方医科大学 Method for measuring liver magnetic resonance crosswise relaxation rate R2* parameter
CN103218788B (en) * 2013-04-24 2015-12-02 南方医科大学 A kind of measuring method of liver magnetic resonance R2* parameter
CN103675722A (en) * 2013-11-27 2014-03-26 中国石油大学(华东) Automatic matching method for acquisition parameters of rock T2-G tests
CN103675722B (en) * 2013-11-27 2016-05-25 中国石油大学(华东) Rock T2-G experiment acquisition parameter automatic matching method
US11675037B2 (en) 2016-01-22 2023-06-13 Synaptive Medical Inc. Systems and methods for magnetic field-dependent relaxometry using magnetic resonance imaging
CN108496091A (en) * 2016-01-22 2018-09-04 圣纳普医疗(巴巴多斯)公司 Magnetic resonance imaging magnetic field relies on relaxation method system and method
CN106597338A (en) * 2016-12-28 2017-04-26 北京航空航天大学 Method for measuring atomic transverse relaxation time based on electron resonance phase frequency analysis
CN106597338B (en) * 2016-12-28 2019-03-29 北京航空航天大学 A method of atom lateral relaxation time is measured based on electron resonance phase frequency analysis
WO2018184409A1 (en) * 2017-04-07 2018-10-11 厦门大学 Method for measuring longitudinal relaxation time of protons under nonuniform magnetic field
US11047943B2 (en) 2017-04-07 2021-06-29 Xiamen University Method for longitudinal relaxation time measurement in inhomogeneous fields
WO2019119506A1 (en) * 2017-12-20 2019-06-27 深圳先进技术研究院 Magnetic resonance temperature imaging method and device
CN108152770A (en) * 2017-12-22 2018-06-12 深圳先进技术研究院 A kind of method and device of synchronous detection displacement of tissue and T2
CN109633500B (en) * 2018-12-18 2021-01-12 上海联影医疗科技股份有限公司 Transverse relaxation map determination method and device and magnetic resonance imaging equipment
CN109633500A (en) * 2018-12-18 2019-04-16 上海联影医疗科技有限公司 The determination method, apparatus and MR imaging apparatus of transverse relaxation mapping graph
CN110174632A (en) * 2019-06-10 2019-08-27 上海东软医疗科技有限公司 MR imaging method, device, imaging device and magnetic resonance imaging system
CN110174632B (en) * 2019-06-10 2021-06-01 上海东软医疗科技有限公司 Magnetic resonance imaging method and device, imaging equipment and magnetic resonance imaging system
CN110855356A (en) * 2019-10-21 2020-02-28 同济大学 Resonance wave beam communication device based on detection feedback control
CN111721795A (en) * 2020-06-29 2020-09-29 无锡鸣石峻致医疗科技有限公司 Material measurement method and system based on nuclear magnetic resonance system
CN111721795B (en) * 2020-06-29 2021-05-11 无锡鸣石峻致医疗科技有限公司 Material measurement method and system based on nuclear magnetic resonance system
WO2022000948A1 (en) * 2020-06-29 2022-01-06 无锡鸣石峻致医疗科技有限公司 Nuclear magnetic resonance system-based substance measurement method, and system
US11766189B2 (en) 2020-06-29 2023-09-26 Wuxi Marvel Stone Healthcare Co., Ltd. Nuclear magnetic resonance system-based substance measurement method and system
CN113093078A (en) * 2021-03-31 2021-07-09 无锡鸣石峻致医疗科技有限公司 Method and device for determining linear relation between radio frequency pulse intensity and flip angle, computer equipment and storage medium
CN113093078B (en) * 2021-03-31 2021-11-30 无锡鸣石峻致医疗科技有限公司 Method and device for determining linear relation between radio frequency pulse intensity and flip angle, computer equipment and storage medium

Also Published As

Publication number Publication date
CN102116856B (en) 2013-01-16

Similar Documents

Publication Publication Date Title
CN102116856B (en) Transverse relaxation time measuring method and system
Blazevich et al. Intra‐and intermuscular variation in human quadriceps femoris architecture assessed in vivo
Heemskerk et al. Repeatability of DTI‐based skeletal muscle fiber tracking
Naylor et al. The athlete’s heart: a contemporary appraisal of the ‘Morganroth hypothesis’
Williams et al. MRI UTE-T2* profile characteristics correlate to walking mechanics and patient reported outcomes 2 years after ACL reconstruction
Zoncu et al. Assessment of regional systolic and diastolic wall motion velocities in highly trained athletes by pulsed wave Doppler tissue imaging
Kovács et al. Left ventricular untwisting in athlete’s heart: key role in early diastolic filling?
Wang et al. Hemodynamic effects of furosemide on renal perfusion as evaluated by ASL-MRI
CN107569256A (en) Ultrasonic method based on thermal expansion and gate algorithm measurement biological tissue temperature change
Park et al. Estimation of gastrocnemius muscle volume using ultrasonography in children with spastic cerebral palsy
CN111096748B (en) Method for dynamically measuring cerebral oxygen metabolism rate
Aeles et al. Regional variation in lateral and medial gastrocnemius muscle fibre lengths obtained from diffusion tensor imaging
JP6964583B2 (en) Ratiometric pulse CEST imaging
Farrow et al. Novel muscle imaging in inflammatory rheumatic diseases—a focus on ultrasound shear wave elastography and quantitative MRI
Watanabe et al. Cross-talk from adjacent muscle has a negligible effect on surface electromyographic activity of vastus intermedius muscle during isometric contraction
Riemer et al. Contrast agent-free assessment of blood flow and wall shear stress in the rabbit aorta using ultrasound image velocimetry
US20120271147A1 (en) Apparatus, method, and computer-accessible medium for b1-insensitive high resolution 2d t1 mapping in magnetic resonance imaging
Kusy et al. Aging athlete's heart: an echocardiographic evaluation of competitive sprint-versus endurance-trained master athletes
Summers et al. Spinal cord fMRI
Kim et al. Waveform analysis of the brachial-ankle pulse wave velocity in hemiplegic stroke patients and healthy volunteers: a pilot study
Petrič et al. Two-dimensionally-guided M-mode and pulsed wave Doppler echocardiographic evaluation of the ventricles of apparently healthy cats
Song et al. In vivo transthoracic measurement of end-diastolic left ventricular stiffness with ultrasound shear wave elastography: A pilot study
Wong et al. Changes in systemic and pulmonary blood flow distribution in normal adult volunteers in response to posture and exercise: a phase contrast magnetic resonance imaging study
DeVito et al. Brain magnetic resonance spectroscopy in Tourette's disorder
Goto et al. Role of left ventricular regional diastolic abnormalities for global diastolic dysfunction in patients with hypertrophic cardiomyopathy

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C41 Transfer of patent application or patent right or utility model
TR01 Transfer of patent right

Effective date of registration: 20170302

Address after: 201807 Shanghai city Jiading District Industrial Zone Jiading Road No. 2258

Patentee after: Shanghai United Imaging Healthcare Co., Ltd.

Address before: 1068 No. 518055 Guangdong city in Shenzhen Province, Nanshan District City Xili University School Avenue

Patentee before: Shenzhen Institutes of Advanced Technology, Chinese Academy of Science

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20181012

Address after: 518055 Nanshan District, Xili, Shenzhen University, Shenzhen, Guangdong, 1068

Patentee after: Shenzhen Institutes of Advanced Technology, Chinese Academy of Science

Address before: 201807 No. 2258 Chengbei Road, Jiading Industrial Zone, Jiading District, Shanghai.

Patentee before: Shanghai United Imaging Healthcare Co., Ltd.

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20190729

Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258

Patentee after: Shanghai United Imaging Healthcare Co., Ltd.

Address before: 1068 No. 518055 Guangdong city in Shenzhen Province, Nanshan District City Xili Road School of Shenzhen University

Patentee before: Shenzhen Institutes of Advanced Technology, Chinese Academy of Science

CP01 Change in the name or title of a patent holder
CP01 Change in the name or title of a patent holder

Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258

Patentee after: Shanghai Lianying Medical Technology Co., Ltd

Address before: 201807 Shanghai City, north of the city of Jiading District Road No. 2258

Patentee before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd.