CN201370585Y - Equipment used in resonant type magnetic induction bio-electrical impedance fault imaging method - Google Patents
Equipment used in resonant type magnetic induction bio-electrical impedance fault imaging method Download PDFInfo
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- CN201370585Y CN201370585Y CN200920011172U CN200920011172U CN201370585Y CN 201370585 Y CN201370585 Y CN 201370585Y CN 200920011172 U CN200920011172 U CN 200920011172U CN 200920011172 U CN200920011172 U CN 200920011172U CN 201370585 Y CN201370585 Y CN 201370585Y
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Abstract
The utility model belongs to the bio-electrical impedance imaging field, and particularly relates to resonant type magnetic induction electrical impedance measurement, as well as equipment used in a biological tissue electrical impedance fault imaging method for the re-establishment of misalignment images. The equipment comprises an excitation part, a bearing platform (1) for an object to be measured and a detection part, wherein the excitation part comprises an excitation source and an excitation coil (2); the output terminal of the excitation source is connected with the input terminal of the excitation coil (2); the detection part comprises a detecting coil (3) and a signal processing module; the excitation coil (2) of the excitation part and the detecting coil (3) of the detection part are arranged on the bearing platform (1); and the output terminal of the detecting coil (3) is connected with the input terminal of the signal processing module. The utility model with high sensitivity and ideal imaging effect can be used not only for bio-electrical impedance plane section distribution and imaging analysis but also for bed-side monitoring to organisms, thereby providing an effective nondestructive detection method for detecting relative diseases.
Description
Technical field
This utility model belongs to the bio-electrical impedance imaging field, relates in particular to the resonant magnetic induction impedance bioelectrical measurement, and the equipment that adopted of biological tissue's impedance tomograph imaging method of rebuilding of nonlinear images.
Background technology
Because the difference of electrolyte concentration and cell membrane penetrance power etc. makes that same the organizing under different biological tissues, the different conditions all presents different electrical impedance characteristicses in the mode (as density degree) that the kind of cellularity, cell are arranged in the tissue, the intercellular substance.Bio-electrical impedance imaging is except realizing being similar to the function of x-ray imaging, computed tomography imaging (CT), NMR (Nuclear Magnetic Resonance)-imaging (MRI), ultrasonic imaging etc., can also obtain reflecting the image of biological tissue's physiological status variation, this has important clinic value aspect researching human body physiological function and the medical diagnosis on disease.
The magnetic induction image technology is obtained the imaging that tissue resistance (electric conductance) rate distributes according to the EDDY CURRENT principle, is the new method of medical domain.The principle of magnetic induction electrical impedance imaging is: feed alternating current to excitation coil, alternating current produces alternating magnetic field.Alternating magnetic field is inductive loop in tested bio-tissue, and this eddy current field will produce extremely weak secondary magnetic field at the measured object surrounding space, and it is strong and weak directly related with the distribution of electrical conductivity in the bio-tissue.So,,, just can derive the distribution situation of electrical conductivity in the bio-tissue again according to the electromagnetic relationship of vortex density and electrical conductivity as long as measure spatial secondary magnetic field.
Present magnetic induction image technology all adopts the excitation coil design consistent with magnetic test coil, this structure can not satisfy generation simultaneously than soaking magnetic field, and the highly sensitive requirement of magnetic test coil, simultaneously increased crosstalking between the coil, influenced imaging results owing to excitation coil is identical with the magnetic test coil parameter.Therefore study a kind of effective magnetic induction signal detection and method for reconstructing significant to bio-electrical impedance imaging.
The utility model content
This utility model is intended to overcome the deficiencies in the prior art part and provides a kind of highly sensitive, the imaging effect ideal, can be used for the bio-electrical impedance section distributes and imaging analysis, the bedside monitoring that also can be used for organism provides the equipment that resonant magnetic induction bioelectrical impedance tomography method adopted of effective nondestructiving detecting means for the detection of relevant disease.
For achieving the above object, the equipment that this utility model resonant magnetic induction bioelectrical impedance tomography method is adopted is achieved in that
Resonant magnetic induction bioelectrical impedance tomography equipment, it comprises driver unit, measured object carrying platform, test section; Described driver unit comprises driving source and excitation coil; The input of the output termination excitation coil of described driving source; Described test section comprises magnetic test coil and signal processing module; The excitation coil of described driver unit and the magnetic test coil of test section place on the measured object carrying platform; The input of the output termination signal processing module of described magnetic test coil.
As a kind of preferred version, signal processing module described in the utility model comprises A/D conversion portion, power pack, FPGA module and central processing portion; The output port of described A/D conversion portion connects the input port of FPGA module; The output port of described FPGA module connects the input port of central processing portion;
Described power pack provides power supply for A/D conversion portion and FPGA module; Sending into the FPGA module from the detection signal of magnetic test coil (3) after the A/D conversion portion is handled cushions, stores; Described central processing portion is carried out analyzing and processing with the data of gathering.
As another kind of preferred version, driving source described in the utility model comprises high-frequency signal generation module, amplifier module, power amplifier module and impedance matching part; The input of the output termination amplifier module of described high-frequency signal generation module; The input of the output termination power amplifier module of described amplifier module; The input of the output termination impedance matching part of described power amplifier module.
Further, high-frequency signal generation module described in the utility model can adopt the MAX038 chip; Described amplifier module can adopt the THS3001C chip; Described power amplifier module can adopt the AD815AYS chip.
Further,, measured object carrying platform described in the utility model also is provided with the rotary driving part branch; Described rotary driving part branch comprises single-chip microprocessor MCU, driver module, motor; The port of described driver module part connects the port of single-chip microprocessor MCU; The signal input part of the output termination motor of described driver module; The output shaft of described motor and measured object carrying platform are fixedly sleeved.
In addition, single-chip microprocessor MCU described in the utility model can adopt the AT89S51 chip; Described driver module can adopt the TA8435H chip.
The device sensitivity height that this utility model adopted, the imaging effect ideal can be used for that the bio-electrical impedance section distributes and imaging analysis, also can be used for the bedside monitoring of organism, for the detection of relevant disease provides a kind of effective Non-Destructive Testing scheme.
Main feature of the present utility model is to utilize resonance principle to improve the intensity of magnetic induction signal, to the vortex field distribution design new non-homogeneous single source multi-channel detection system, avoided the drawback of existing model, binding signal acquisition system model and Distribution of Magnetic Field, designed non-linear backprojection reconstruction algorithm, can realize the imaging of biological tissue's model tomography, can develop corresponding Medical Instruments according to this method, can show corresponding faultage image, analytical curve, numerical value etc., can carry out visual analyzing various biological tissues electrical impedance characteristics.
Description of drawings
The utility model is described in further detail below in conjunction with the drawings and specific embodiments.Protection domain of the present utility model will not only be confined to the statement of following content.
Fig. 1 is a system architecture diagram of the present utility model;
The high-frequency signal acquisition system structure chart that Fig. 2 implements for this utility model;
Fig. 3 is this utility model driver unit schematic block circuit diagram;
Fig. 4 is this utility model measured object carrying platform rotary driving part parallel circuit theory diagram;
Fig. 5 is this utility model signal processing module schematic block circuit diagram;
The non-linear back projection path sketch map that Fig. 6 implements for this utility model;
Fig. 7 is this utility model power pack physical circuit figure;
Fig. 8 is this utility model A/D conversion portion physical circuit figure;
Fig. 9 divides physical circuit figure for this utility model rotary driving part;
Figure 10 is this utility model driving source part physical circuit figure.
The specific embodiment
As shown in Figure 1, the equipment that resonant magnetic induction bioelectrical impedance tomography method adopted, it comprises driver unit, measured object carrying platform 1, test section; Described driver unit comprises driving source and excitation coil 2; The input of the output termination excitation coil 2 of described driving source; Described test section comprises magnetic test coil 3 and signal processing module; The excitation coil 2 of described driver unit and the magnetic test coil 3 of test section place on the measured object carrying platform 1; The input of the output termination signal processing module of described magnetic test coil 3 is seen Fig. 1, and 5 is measured object.As shown in Figure 5, signal processing module described in the utility model comprises A/D conversion portion, power pack, FPGA module and central processing portion; The output port of described A/D conversion portion connects the input port of FPGA module; The output port of described FPGA module connects the input port of central processing portion; Described power pack provides power supply for A/D conversion portion and FPGA module; Sending into the FPGA module from the detection signal of magnetic test coil 3 after the A/D conversion portion is handled cushions, stores; Described central processing portion is carried out analyzing and processing with the data of gathering.
This utility model FPGA module adopts FPGA development board RCII-CY1C6, and fpga chip adopts AlteraCyclone EP1C6.
Fig. 7 is this utility model power pack physical circuit figure.Fig. 8 is this utility model A/D conversion portion physical circuit figure, and its acp chip adopts AD9215.
As shown in Figure 3, driving source described in the utility model comprises high-frequency signal generation module, amplifier module, power amplifier module and impedance matching part; The input of the output termination amplifier module of described high-frequency signal generation module; The input of the output termination power amplifier module of described amplifier module; The input of the output termination impedance matching part of described power amplifier module.High-frequency signal generation module described in the utility model adopts the MAX038 chip; Described amplifier module adopts the THS3001C chip; Described power amplifier module adopts the AD815AYS chip, referring to Figure 10.Shown in Fig. 1,4,9, measured object carrying platform 1 described in the utility model also is provided with the rotary driving part branch; Described rotary driving part branch comprises single-chip microprocessor MCU, driver module, motor 4; The port of described driver module connects the port of single-chip microprocessor MCU; The signal input part of the output termination motor 4 of described driver module; The output shaft of described motor and measured object carrying platform 1 are fixedly sleeved; Wherein single-chip microprocessor MCU adopts the AT89S51 chip; Described driver module adopts the TA8435H chip, referring to Fig. 4,9.
This utility model utilizes resonance magnetic induction signal detection principle detection signal, realizes biological tissue's electrical impedance tomography in conjunction with the nonlinear images method for reconstructing, comprises following part:
1) non-homogeneous excitation measuring system
The magnetic induction image system feeds excitation coil with sinusoidal ac, to produce excitation field, to place excitation field B to conductor, to produce eddy current because of the electromagnetic induction effect in the conductor, this eddy current can generate disturbed magnetic field Δ B simultaneously and can change intensity and the spatial distribution of former excitation field B, can detect Δ B+B on the measurement coil.Utilize Δ B signal to carry out imaging.
Excitation coil is distributed to whole measured zone with excitation source signal, play the effect that propagate in magnetic field, therefore the selection principle of excitation coil is: be easy to drive, and stronger excitation field can be provided, the middle ferrite core that adds of the coil that this utility model intended diameter is bigger increases pumping signal.
Requirement to magnetic test coil is highly sensitive, and it is little to crosstalk between coil, and the less magnetic test coil of radius is selected in this utility model design for use, for improving the data volume of detection signal, adopts many magnetic test coil designs.
Magnetic test coil places excitation field, and the secondary excitation magnetic field that produces owing to coil is little is very little, does not influence adjacent magnetic test coil.For improving the sensitivity of detection signal, the pumping signal in excitation end input magnetic test coil resonant frequency makes the variation sensitivity of detection to magnetic field like this, is easy to detect Δ B signal.
The arrangement mode of excitation-magnetic test coil is: excitation coil is placed on driving source one side, the magnetic test coil semicircular in shape is arranged in the excitation coil opposite, and the direct influence that is subjected to excitation coil in excitation coil homonymy zone is bigger, measured value is difficult to reflect the electrical conductivity situation in the imaging region, does not therefore put magnetic test coil in this zone.
2) the magnetic induction resonance signal detects
Biological tissue produces eddy current through driving source excitation back, the vortex field signal is a kind of small-signal, frequency changes with the driving source frequency change, when driving source is high frequency pumping, the vortex field signal also is a high-frequency signal, this utility model has designed high frequency weak signal resonant mode acquisition system based on A/D+FPGA according to the characteristics of biological magnetic induction signal, at first excitation coil is imported the resonant frequency signal of magnetic test coil, on magnetic test coil, detect induced signal, input analogue signal as signal detection system is nursed one's health, send into high-speed ADC and sample, the data that obtain after the sampling are sent into FPGA, high speed data flow is cushioned, send into memory bank storage data at last, the data of storage can be passed through pci bus, are transferred to PC fast, with the storage or the analyzing and processing of carrying out data.
The designed signal detection system of this utility model comprises simulation part (AD core board part), numerical portion (FPGA development board part), wherein AD core board part is made up of the ADC chip, has used the difference input pattern at the ADC input, after the process analog digital conversion, via latches, the fpga core plate portion comprises memory module, fifo module, time-sequence control mode, I/O mouth input fpga chip by FPGA carries out date processing.The function that FPGA realizes in system is: the control of ADC sampling time sequence, data buffer memory (FIFO), Digital Signal Processing, acquired signal transmission and test.
3) the rotation measured object is gathered multi-group data
Place rotatable stage below measured target, can drive the measured object rotation, measure the multi-angle signal, the multi-channel measurement pattern is adopted in the measurement of a plurality of magnetic test coils.The hardware of the rotation platform system in this utility model is made up of keyboard circuit, AT89S51 single-chip microcomputer, stepper motor driver and the optics rotatable platform that has a motor.The angle of the angular displacement that can set according to measurement requirement in the measuring process, the test side can detect multi-group data in the week rotating.
As Fig. 9, the square wave with sequential that the signal of motor is exported by the P2 port of AT89S51 single-chip microcomputer goes to CK, CW/CWW, M1, M2 and the REFIN of TA8435H chip, and then by its control step motor.The segmentation mode of driver module TA8435H pin M1, M2 decision motor, for example M1, M2 connect high level, and mode of operation is 1/8 so, the vibration when reducing low speed.CW/CWW control step motor positive and inverse is moving, and the peak frequency of CK clock input can not surpass 5KHz, the speed that the frequency of control clock is rotated with regard to energy control step motor.
4) nonlinear data is handled and image reconstruction
The designed imaging model of this utility model only has semicircular induced signal, and therefore the data for projection that obtains is incomplete, at first the compensation data that collects is handled, and does not have the data of the position of magnetic test coil on the completion circumference; Carry out the bilinear interpolation processing to compensating the back data then; According to the Distribution of Magnetic Field situation, design back projection route; The designing filter function carries out filtered back projection to data after compensation and the interpolation and rebuilds, and obtains the anti-information that distributes of reflection imaging region internal resistance, and forms image.
Resonant magnetic induction bioelectrical impedance tomography method of the present utility model is to utilize the excitation coil on the imaging region border to produce excitation field (this magnetic field and magnetic test coil resonant frequency are with frequently), measured object produces disturbed magnetic field in magnetic field, magnetic test coil to the changes of magnetic field sensitivity, is rebuild the electrical impedance distribution image that obtains in the imaging region by high frequency Testing of Feeble Signals system and nonlinear images under the effect of resonance effect.Concrete grammar is:
The first step: adopt single excitation coil (No. 0, excitation coil), a plurality of magnetic test coils are around the non-homogeneous arrangement of imaging region, wherein magnetic test coil is odd number (a 1-11 coil), can adjust number (as 9,13,15 etc.) according to practical situation, be arranged in semicircle, excitation coil is on the opposite of magnetic test coil, and coil radius is (see figure 1) greatly.Excitation coil and magnetic test coil are inconsistent, make the resonant frequency difference of the two, utilize in the process of resonance detection at magnetic test coil, because resonance does not take place excitation coil, so the variation in basic magnetic field mainly is the disturbance of magnetic field that is caused by the conductor in the imaging region.
Second step: the resonant frequency of determining magnetic test coil, on excitation coil, apply the alternating current of this frequency, produce alternating magnetic field as excitation field, this magnetic field is subjected to the disturbance of different electrical impedance measured objects in the imaging region, can obtain the induced voltage of magnetic test coil in disturbed magnetic field, the peak-to-peak value of this voltage has reflected the anti-information of imaging region internal resistance.
Signal detection system of the present utility model is by the analogue signal pretreatment module, and adjusted analogue signal is inputed to A/D converter, and digital signal is directly exported to FPGA and stored after the analog digital conversion then.In FPGA, designed high-speed buffer FIFO and high-speed memory RAM and a series of time sequence control logic, with guarantee can be real-time under predetermined volumes the data that send over by ADC of storage.Simultaneously, in FPGA, also designed data transmission interface, thereby the system that makes can carry out transfer of data under the pattern that we select.
FPGA be responsible for all sequencing contro in the said process, but FPGA itself is controlled by PC as the control core of whole system.By the control software of design at the PC end, can be real-time transmit control signal to FPGA, as systematic reset signal, the work enable signal, the clock enable signal, mode select signal etc., FPGA also will feed back corresponding status signal to PC simultaneously, as full, the spacing wave of memorizer etc., thereby cooperate upper layer software (applications) to come the work process of control system.
At last, utilize the SignalTapII logic analyser among the FPGA, finish real-time monitored and debugging the FPGA duty by jtag interface.Thereby can verify accurately, guarantee the correctness and the sequential sexual satisfaction design requirement (see figure 5) of data in whole transmission course.
The 3rd step: apply the magnetic test coil resonant frequency with alternating current frequently on excitation coil, do not have in imaging region under measured object (barnyard) situation, measure the induced voltage (Data0) of magnetic test coil, a plurality of magnetic test coils have constituted one group of measurement data.
Measured object is put into imaging region, gather first group of data Data1, rotate the rotation measured object by the control rotation platform, the rotation of measured object has changed the electrical impedance distribution in the imaging region, every certain angle (anglec of rotation can according to the practical situation adjustment), measure one group of data, measure until finishing 360 degree, obtain whole measurement data (Data1～Datan), utilize Data0 that Data1～Datan is proofreaied and correct then.According to algorithm for reconstructing, can rebuild measured object section electrical impedance distribution image (see figure 2) at last.
In measuring process, have only measured object to rotate, and excitation and magnetic test coil do not change, so the variation of measured value is mainly caused by the anti-change that distributes of imaging region internal resistance.
The 4th step: because the arrangement of magnetic test coil is semicircle, a discontented week, therefore at first measurement data is carried out compensation data, the data that do not have the position of magnetic test coil on the completion circumference, then the data after the compensation are carried out interpolation calculation, increase data volume, the bilinear interpolation that adopts in this utility model.According to the curvilinear function of imaging region internal magnetic field distribution situation calculating equipotential line, according to this function design back projection path, carry out non-linear back projection image reconstruction, obtain the anti-distributed image (see figure 6) of imaging region internal resistance.
Resonant magnetic induction bioelectrical impedance tomography method of the present utility model compared with prior art has following characteristics aspect several in detection method, imaging system and range of application etc.:
1, this utility model adopts resonance principle to detect induced signal, detects the sensitivity that has improved signal;
2, the heterogeneity imaging model of this utility model design adopts the excitation coil design different with magnetic test coil, and under the situation of magnetic test coil generation resonance, the resonance of the excitation coil of avoiding is crosstalked;
3, the peak-to-peak value of this utility model acquisition induced voltage gets final product, and adopts barnyard to measure the bearing calibration of subtracting each other with target measurement, has simplified testing circuit;
4, this utility model can also be used for the detection of electrical impedance one-dimensional signal except being applied to bioelectrical impedance tomography, and the live body electrical impedance is monitored in real time.
Be with being appreciated that, more than about specific descriptions of the present utility model, only be used to this utility model is described and be not to be subject to the described technical scheme of this utility model embodiment, those of ordinary skill in the art is to be understood that, still can make amendment or be equal to replacement this utility model, to reach identical technique effect; Use needs as long as satisfy, all within protection domain of the present utility model.
Claims (6)
1, the equipment that resonant magnetic induction bioelectrical impedance tomography method adopted is characterized in that, comprises driver unit, measured object carrying platform (1), test section; Described driver unit comprises driving source and excitation coil (2); The input of the output termination excitation coil (2) of described driving source; Described test section comprises magnetic test coil (3) and signal processing module; The magnetic test coil (3) of excitation coil of described driver unit (2) and test section places on the measured object carrying platform (1); The input of the output termination signal processing module of described magnetic test coil (3).
2, the equipment that resonant magnetic induction bioelectrical impedance tomography method according to claim 1 adopted is characterized in that: described signal processing module comprises A/D conversion portion, power pack, FPGA module and central processing portion; The output port of described A/D conversion portion connects the input port of FPGA module; The output port of described FPGA module connects the input port of central processing portion;
Described power pack provides power supply for A/D conversion portion and FPGA module; Sending into the FPGA module from the detection signal of magnetic test coil (3) after the A/D conversion portion is handled cushions, stores; Described central processing portion is carried out analyzing and processing with the data of gathering.
3, the equipment that resonant magnetic induction bioelectrical impedance tomography method according to claim 1 and 2 adopted is characterized in that: described driving source comprises high-frequency signal generation module, amplifier module, power amplifier module and impedance matching part; The input of the output termination amplifier module of described high-frequency signal generation module; The input of the output termination power amplifier module of described amplifier module; The input of the output termination impedance matching part of described power amplifier module.
4, the equipment that resonant magnetic induction bioelectrical impedance tomography method according to claim 3 adopted is characterized in that: described high-frequency signal generation module adopts the MAX038 chip; Described amplifier module adopts the THS3001C chip; Described power amplifier module adopts the AD815AYS chip.
5, the equipment that resonant magnetic induction bioelectrical impedance tomography method according to claim 4 adopted is characterized in that: described measured object carrying platform (1) also is provided with the rotary driving part branch; Described rotary driving part branch comprises single-chip microprocessor MCU, driver module, motor (4); The port of described driver module connects the port of single-chip microprocessor MCU; The signal input part of the output termination motor (4) of described driver module; The output shaft of described motor and measured object carrying platform (1) are fixedly sleeved.
6, the equipment that resonant magnetic induction bioelectrical impedance tomography method according to claim 5 adopted is characterized in that: described single-chip microprocessor MCU adopts the AT89S51 chip; Described driver module adopts the TA8435H chip.
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| Application Number | Priority Date | Filing Date | Title |
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| CN200920011172U CN201370585Y (en) | 2009-03-06 | 2009-03-06 | Equipment used in resonant type magnetic induction bio-electrical impedance fault imaging method |
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| CN200920011172U CN201370585Y (en) | 2009-03-06 | 2009-03-06 | Equipment used in resonant type magnetic induction bio-electrical impedance fault imaging method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101822541B (en) * | 2009-03-06 | 2011-09-28 | 沈阳工业大学 | Resonant magnetic induction bioelectrical impedance tomography method and equipment adopted by same |
| CN103370639A (en) * | 2011-02-14 | 2013-10-23 | 皇家飞利浦有限公司 | Coil arrangement for a magnetic induction impedance measurement apparatus comprising a partly compensated magnetic excitation field in the detection coil |
| CN104090034A (en) * | 2014-07-21 | 2014-10-08 | 哈尔滨工业大学 | Electromagnetic ultrasonic Lamb wave transducer for guided wave tomography |
-
2009
- 2009-03-06 CN CN200920011172U patent/CN201370585Y/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101822541B (en) * | 2009-03-06 | 2011-09-28 | 沈阳工业大学 | Resonant magnetic induction bioelectrical impedance tomography method and equipment adopted by same |
| CN103370639A (en) * | 2011-02-14 | 2013-10-23 | 皇家飞利浦有限公司 | Coil arrangement for a magnetic induction impedance measurement apparatus comprising a partly compensated magnetic excitation field in the detection coil |
| CN104090034A (en) * | 2014-07-21 | 2014-10-08 | 哈尔滨工业大学 | Electromagnetic ultrasonic Lamb wave transducer for guided wave tomography |
| CN104090034B (en) * | 2014-07-21 | 2016-08-24 | 哈尔滨工业大学 | A kind of electromagnetic acoustic Lamb wave transducer for guided wave tomography |
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Granted publication date: 20091230 Termination date: 20120306 |