CN107713987A - The computational methods of cerebrospinal fluid shunt flow detection - Google Patents
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- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
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Abstract
The present invention relates to a kind of computational methods of cerebrospinal fluid shunt flow detection.When this method flows into any two sampled point according to the cerebrospinal fluid for carrying same excitation source signal, the time series signal function of its sampled signal is similar to the waveform that the time is formed, and thus establish any two sampled point time function relation, by the maximum for asking for the function of time, the time difference between any two sampled point is obtained, and then the flow velocity and flow of cerebrospinal fluid can be obtained.It is of the invention to improve efficiency compared with existing CT and MRI is detected, money is saved, and avoid radiating；Compared with existing curve seeks the computational methods such as extreme value or the equation of heat conduction, convergence, the robustness of numerical solution can be improved, meets the cerebrospinal fluid shunt flow detection of patient in any condition.
Description
Technical field
The present invention relates to a kind of computational methods of cerebrospinal fluid shunt flow detection.
Background technology
By-pass operation of cerebrospinal fluid is treatment hydrocephalus[1]A kind of neuro-surgery operation of positive effect, as being implanted into people in Fig. 1
Shown in internal line segments.Silica gel catheter is inserted in the ventricles of the brain, circulation is blocked unnecessary cerebrospinal fluid in arachnoid with inserting one
Group check valve is discharged into abdominal cavity, and is gradually resorbed in abdominal cavity[2,3].Operation can improve nerve function lesion caused by hydrocephalus rapidly,
But long-term effect and effect are played it is necessary to accurately control and adjust cerebrospinal fluid shunt amount at any time.Adjustment is properly and timely, then sick
Feelings take a turn for the better；Adjustment mistake or delay, then brain oblongata is impaired serious until threat to life.
The premise of control and adjustment cerebrospinal fluid shunt amount is shunt volume detection.Current flow detection technology has：
(1) computed tomography scanning and computer algebra method first inject the tracers such as methylene blue to cerebrospinal fluid circulation system, then nucleic
Cisternography and CT art tomoscans, patient is not only painful but also is harmful to the health[4]。
(2) enhanced nuclear magnetic resonance brain inspection is used, it is costly every time to be forbidden up to more than thousand yuan and testing result
Really[5,6]。
(3) patented technology that the cerebrospinal fluid shunt amount based on heat-conduction principle from the U.S. quantitatively detects[7-9]。
Bibliography：
[1]Dimitri Agamanolis(May2011)."Chapter 14-Cerebrospinal Fluid:THE
NORMAL CSF".Neuropathology[M].Northeast Ohio Medical University.Retrieved
2014-12-25.
[2]Kevin Tsang,William Singleton,Ian Pople(October 2014).‘Chapter-
Complications of CSF Shunting in Hydrocephalus’[M].2015–Springe.pp109-118
[3]INVESTIGATION OF CEREBROSPINAL FLUID SHUNTS BSOP 22i5.-Standards
Unit[R],Department for Evaluations,Standards and Training,USA.(23.11.2009).
[4]Chari,Aswin,et al.Hydrocephalus shunt technology:20years of
experience from the Cambridge Shunt Evaluation Laboratory:Technical Note.[J]
.Journal of Neurosurgery 120.3(2014):697-707.
[5] Sha Miao, Zhao Xin, Chen Yuanyuan, magnetic resonance diffusion kurtosis imaging research progress and new opplication [J] Chinese biologicals are waited
Engineering in medicine journal, 2016, (04):460-469.
[6] Zou Jinmei, Zhang Lirong, open and build cerebrospinal fluid before and after .SPACE sequence quantitative analysis communicating hydrocephalus ventricular shunts
Volume [J] China combination of Chinese tradiational and Western medicine iconography magazine, 2015 (2)
[7]Nigel Peter Symss&Shizuo Oi.Is there an ideal shuntA panoramic
view of 110years in CSF diversions and shunt systems used for the treatment
of hydrocephalus:from historical events tocurrent trends.[J].Childs Nerv Syst
(2015)31:191–202
[8]S Rajasekaran,Hongwei Qu,K Zakalik(2015IEEE).Thermal measurement
of cerebrospinal fluid flow rate in Hydrocephalus shunt.SENSORS.2015-
ieeexplore.ieee.org
[9]U.S.Department of Neurosurgery,Children’s Hospital Boston,Harvard
Medical School,Boston,Massachusetts；Department of Neurosurgery,Nationwide
Children’s Hospital,Columbus,Ohio；Division of Neurosurgery,Children’s
National Medical Center,Washington,District of Columbia.Evaluation of the
ShuntCheck Noninvasive Thermal Technique for Shunt Flow Detection in
Hydrocephalic Patients.[R]NEUROSURGERY 68:198–205,2011。
The content of the invention
It is an object of the invention to provide a kind of computational methods of cerebrospinal fluid shunt flow detection, this method can simulate trouble
The cerebrospinal fluid shunt flow detection of person in any condition, compared with existing CT and MRI is detected, efficiency can be improved, saves money,
Avoid radiating.
To achieve the above object, the technical scheme is that：A kind of computational methods of cerebrospinal fluid shunt flow detection, root
When flowing into any two sampled point according to the cerebrospinal fluid for carrying same excitation source signal, the time series signal letter of its sampled signal
Number is similar to the waveform that the time is formed, and thus establishes the mathematical modeling between any two sampled point on time correlation,
By the maximum for the function of time for calculating the mathematical modeling, the time difference between any two sampled point is obtained, and then
Obtain the flow velocity and flow of cerebrospinal fluid.
In an embodiment of the present invention, this method is implemented as follows,
In the case where same excitation source signal excites, the cerebrospinal fluid for carrying same excitation source signal flows into any two
Sampled point, time series signal function and the waveform that the time is formed of its sampled signal are similar, its time series signal letters
Following relation be present in number：
In relational expression (1), Ti(t)、Tj(t) it is the time series signal function of described two sampled points, and Tj(t)=p
Ti(t-τ0), Tj(t+ τ)=pTi(t-τ0+ τ), 0≤i≤n, 0≤j≤n, and i ≠ j, i, j are natural number, represent sampled point
Numbering, n is sampled point number, and p is proportionality coefficient；
For relational expression (1), T is substituted intoi(t)、Tj(t), then can obtain
Obviously, and if only if τ=τ0When,Take maximum, it can be seen that, τ0It is cerebrospinal fluid in two sampled points
Between flowing time；
Due to the cerebrospinal fluid flowing time between two sampled points, distance, caliber, it is known that therefore can try to achieve cerebrospinal fluid flow velocity with
Flow.
In an embodiment of the present invention, the sampling that the excitation source signal is acted on before any two sampled point
Point, i.e. excitation source signal are acted on the human epidermal of the sampled point above isocon, or the brain acted in isocon
On spinal fluid.
In an embodiment of the present invention, the isocon is embedded under human body skin.
The excitation source signal can be multiple, and the plurality of excitation source signal is not required to guarantee effect and sampled in any two
Any one or more sampled points before point.
Compared to prior art, the invention has the advantages that：The present invention can simulate patient in any condition
Cerebrospinal fluid shunt flow detection, compared with existing CT and MRI are detected, efficiency can be improved, save money, and avoid radiating.
Brief description of the drawings
Fig. 1 is cerebrospinal fluid shunt flow detection instance graph.
Embodiment
Below in conjunction with the accompanying drawings, technical scheme is specifically described.
The computational methods of a kind of cerebrospinal fluid shunt flow detection of the present invention, according to the brain for carrying same excitation source signal
When spinal fluid flows into any two sampled point, the time series signal function of its sampled signal is similar to the waveform that the time is formed
, and the mathematical modeling between any two sampled point on time correlation is thus established, by the time for calculating the mathematical modeling
The maximum of function, the time difference between any two sampled point is obtained, and then the flow velocity and flow of cerebrospinal fluid can be obtained；Should
Method is implemented as follows,
In the case where same excitation source signal excites, the cerebrospinal fluid for carrying same excitation source signal flows into any two
Sampled point, time series signal function and the waveform that the time is formed of its sampled signal are similar, its time series signal letters
Following relation be present in number：
In relational expression (1), Ti(t)、Tj(t) it is the time series signal function of described two sampled points, and Tj(t)=p
Ti(t-τ0), Tj(t+ τ)=pTi(t-τ0+ τ), 0≤i≤n, 0≤j≤n, and i ≠ j, i, j are natural number, represent sampled point
Numbering, n is sampled point number, and p is proportionality coefficient；
For relational expression (1), T is substituted intoi(t)、Tj(t), then can obtain
Obviously, and if only if τ=τ0When,Take maximum, it can be seen that, τ0It is cerebrospinal fluid in two sampled points
Between flowing time；
Due to the cerebrospinal fluid flowing time between two sampled points, distance, caliber, it is known that therefore can try to achieve cerebrospinal fluid flow velocity with
Flow.
The sampled point that the excitation source signal is acted on before any two sampled point, i.e. excitation source signal act on
On the human epidermal of the sampled point above isocon, or act on the cerebrospinal fluid in isocon.The isocon 1 is embedded
In human body skin, (human body skin is divided into epithelial layer 8, skin corium 9, hypodermic layer 10, the catheter wall 11 of isocon 1 from top to bottom
It is located under hypodermic layer 10) under.Excitation source signal can be equal to a sampled point signal, although the signal is not engaged in herein
The calculating of formula (1), the present invention is still comprising the meter using excitation source signal as the time series signal function of a sampled point
Calculation method.Similarly, proportionality coefficient P can be one with the position functional value different and different with the time.
The excitation source signal can be multiple, and the plurality of excitation source signal is not required to guarantee effect and sampled in any two
Any one or more sampled points before point.
It is below the specific implementation principle of the present invention.
Fig. 1 is cerebrospinal fluid shunt flow detection instance graph, wherein, 1 is isocon, and 2 be sampled point T1, and 3 be sampled point T2,
4 be thermal excitation point, and 5 be the ventricles of the brain, and 6 be that cerebrospinal fluid (CSF) flows to, and 7 be abdominal cavity, 8 is epithelial layer, 9 is skin corium, 10 is subcutaneous
Layer, 11 be catheter wall.
To the local cerebrospinal fluid changed in flowing based on signal excitation (isocon 1 in such as Fig. 1) certain feature (such as temperature
Degree, color etc.), when this feature is coming out in regular hour and spatial characterization, using n signal acquisition point (heat in such as Fig. 1
Excitation point, sampled point T1, T2 are considered as 3 signaling point T0、T1、T2) collection signal, if setting the data of collection as time sequence
Array function value T0(t)、T1(t)、T2(t)、…..Tn(t) flow or stream of cerebrospinal fluid, can be drawn using following computational methods
Speed；
It is presently believed that at least 2 sampled points, its data are similar to the waveform that the time is formed.Therefore, its time
Following relation be present in ordinal function value
Wherein, Ti(t)、Tj(t) it is the time series signal function of any two sampled point, 1≤i≤n, 1≤j≤n, and i
≠ j, i, j are natural number, and n is sampled point number；Ti(t)、Tj(t) excitation source signal is carried, carries excitation source signal
The sampled point T1 and T2 of csf flow, it is similar that it carries excitation source signal waveform.But its function waveform Ti(t)、Tj(t) deposit
In time difference τ0, that is, have
Tj(t)=pTi(t-τ0)
Tj(t+ τ)=pTi(t-τ0+τ)
P is proportionality coefficient.Obviously, and if only if τ=τ0When,Maximum is taken, and it is unrelated with coefficient p.Namely τ0
It is cerebrospinal fluid flowing time between two sampled points.
Due to distance between two sampled points, it is known that the flow velocity of cerebrospinal fluid is just not difficult to obtain with flow.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the application can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the application can use the computer for wherein including computer usable program code in one or more
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is with reference to the flow according to the method for the embodiment of the present application, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
Its
The instruction that he performs on programmable device is provided for realizing in one flow of flow chart or multiple flows and/or side
The step of function of being specified in one square frame of block diagram or multiple square frames.
Claims (5)
- A kind of 1. computational methods of cerebrospinal fluid shunt flow detection, it is characterised in that：According to carrying same excitation source signal When cerebrospinal fluid flows into any two sampled point, the time series signal function of its sampled signal is similar to the waveform that the time is formed , and the mathematical modeling between any two sampled point on time correlation is thus established, by the time for calculating the mathematical modeling The maximum of function, the time difference between any two sampled point is obtained, and then the flow velocity and flow of cerebrospinal fluid can be obtained.
- 2. the computational methods of cerebrospinal fluid shunt flow detection according to claim 1, it is characterised in that：This method is specifically real It is now as follows,In the case where same excitation source signal excites, the cerebrospinal fluid for carrying same excitation source signal flows into any two sampling Point, time series signal function and the waveform that the time is formed of its sampled signal are similar, and its time series signal function is deposited In following relation：<mrow> <msub> <mi>R</mi> <mrow> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&CenterDot;</mo> <msub> <mi>T</mi> <mi>j</mi> </msub> </mrow> </msub> <mrow> <mo>(</mo> <mi>&tau;</mi> <mo>)</mo> </mrow> <mo>=</mo> <munder> <mi>lim</mi> <mrow> <mi>T</mi> <mo>&RightArrow;</mo> <mi>&infin;</mi> </mrow> </munder> <mfrac> <mn>1</mn> <mi>T</mi> </mfrac> <msubsup> <mo>&Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <msub> <mi>T</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <msub> <mi>T</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>+</mo> <mi>&tau;</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>In relational expression (1), Ti(t)、Tj(t) it is the time series signal function of described two sampled points, and Tj(t)=pTi(t- τ0), Tj(t+ τ)=pTi(t-τ0+ τ), 0≤i≤n, 0≤j≤n, and i ≠ j, i, j are natural number, represent that sampled point is compiled Number, n is sampled point number, and p is proportionality coefficient；For relational expression (1), T is substituted intoi(t)、Tj(t), then can obtain<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>R</mi> <mrow> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&CenterDot;</mo> <msub> <mi>T</mi> <mi>j</mi> </msub> </mrow> </msub> <mrow> <mo>(</mo> <mi>&tau;</mi> <mo>)</mo> </mrow> <mo>=</mo> <munder> <mi>lim</mi> <mrow> <mi>T</mi> <mo>&RightArrow;</mo> <mi>&infin;</mi> </mrow> </munder> <mfrac> <mn>1</mn> <mi>T</mi> </mfrac> <msubsup> <mo>&Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <msub> <mi>T</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <msub> <mi>T</mi> <mi>j</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>+</mo> <mi>&tau;</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>=</mo> <mi>p</mi> <mo>&CenterDot;</mo> <munder> <mi>lim</mi> <mrow> <mi>T</mi> <mo>&RightArrow;</mo> <mi>&infin;</mi> </mrow> </munder> <mfrac> <mn>1</mn> <mi>T</mi> </mfrac> <msubsup> <mo>&Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <msub> <mi>T</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>-</mo> <msub> <mi>&tau;</mi> <mn>0</mn> </msub> <mo>+</mo> <mi>&tau;</mi> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>=</mo> <mi>p</mi> <mo>&CenterDot;</mo> <munder> <mi>lim</mi> <mrow> <mi>T</mi> <mo>&RightArrow;</mo> <mi>&infin;</mi> </mrow> </munder> <mfrac> <mn>1</mn> <mi>T</mi> </mfrac> <msubsup> <mo>&Integral;</mo> <mn>0</mn> <mi>T</mi> </msubsup> <msub> <mi>T</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>-</mo> <mi>&tau;</mi> <mo>)</mo> </mrow> <mo>&CenterDot;</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>-</mo> <msub> <mi>&tau;</mi> <mn>0</mn> </msub> <mo>)</mo> </mrow> <mi>d</mi> <mi>t</mi> </mrow> </mtd> </mtr> </mtable> </mfenced>Obviously, and if only if τ=τ0When,Take maximum, it can be seen that, τ0It is cerebrospinal fluid between two sampled points Flowing time；Because therefore the cerebrospinal fluid flowing time between two sampled points, distance, caliber are, it is known that can try to achieve cerebrospinal fluid flow velocity and stream Amount.
- 3. the computational methods of cerebrospinal fluid shunt flow detection according to claim 1, it is characterised in that：The driving source letter Number sampled point acted on before any two sampled point, i.e., the sampled point that excitation source signal is acted on above isocon Human epidermal on, or act on the cerebrospinal fluid in isocon.
- 4. the computational methods of cerebrospinal fluid shunt flow detection according to claim 3, it is characterised in that：The isocon buries Under human body skin.
- 5. the computational methods of cerebrospinal fluid shunt flow detection according to claim 3, it is characterised in that：The driving source letter Number can be it is multiple, the plurality of excitation source signal be not required to guarantee effect before any two sampled point any one or it is more Individual sampled point.
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