CN113808119B - Magnetic induction imaging method for automatically acquiring outline of detection target - Google Patents
Magnetic induction imaging method for automatically acquiring outline of detection target Download PDFInfo
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- 238000003384 imaging method Methods 0.000 title claims abstract description 73
- 230000006698 induction Effects 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 title claims description 7
- 238000012790 confirmation Methods 0.000 claims abstract description 7
- 238000010586 diagram Methods 0.000 claims description 14
- 210000004556 brain Anatomy 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 239000003086 colorant Substances 0.000 abstract description 5
- 238000000605 extraction Methods 0.000 abstract 1
- 208000032843 Hemorrhage Diseases 0.000 description 12
- 208000034158 bleeding Diseases 0.000 description 8
- 230000000740 bleeding effect Effects 0.000 description 8
- 238000000034 method Methods 0.000 description 5
- 230000003902 lesion Effects 0.000 description 3
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000003325 tomography Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4007—Interpolation-based scaling, e.g. bilinear interpolation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/30—Assessment of water resources
Abstract
The invention discloses a magnetic induction imaging method for automatically acquiring a detected target contour, wherein a head circumference contour confirmation algorithm is used for extracting the appearance contour of a detected target by utilizing amplitude imaging, a linear interpolation algorithm is used in the data of an imaging result, the edge resolution is improved, contour extraction is carried out according to the data after interpolation, the rough contour is preliminarily determined according to the outermost contour, and then the contour center and the major axis and the minor axis of an ellipse are determined according to the contour. The linear interpolation algorithm is used for expanding imaging image data, so that the resolution of the edge of the measured object can be improved, the edge has richer details, more layers of gradient colors are provided, and the edge contour is more accurate. Thus, after the outline of the head is displayed, the information such as the approximate position of the focus on the head, the size of the head circumference of the patient and the like can be intuitively displayed, and useless information outside the head is removed.
Description
Technical Field
The invention belongs to the field of multi-frequency imaging, and particularly relates to a magnetic induction imaging method for automatically acquiring a detection target contour.
Background
Magnetic induction imaging (Magnetic Induction Tomography, MIT) is a novel imaging technique that is non-invasive, non-destructive, and does not require direct contact with a target object, and is particularly suited for medical applications. Currently, there are two main imaging modes: time differential imaging and frequency differential imaging. The absolute conductivity of the measurement model is solved by the finite element method used by the two methods, then image reconstruction is carried out, the reconstructed image is a circular area, only all conductivity values in the circular area are displayed, the circular area generally comprises air conductivity and the conductivity of the measured object, an area (non-interested area) except the peripheral outline of the measured object cannot be hidden, only the change of the conductivity inside the peripheral outline of the measured object is displayed, and imaging is not clear and visual enough. The air region cannot be separated from the head region, focusing the imaging on the head region, i.e. the region of interest.
FIG. 1 is a dual-frequency algorithmic image of a bleeding patient; FIG. 2 is a diagram of the head area of an oval frame used manually after imaging by a dual-frequency algorithm for a bleeding patient; FIG. 3 is a view showing a lesion position CT of a patient suffering from hemorrhage in which the area No. 4 is a hemorrhage area; fig. 1 is an image imaged by a conventional dual-frequency algorithm, wherein the head region of a patient cannot be clarified, and the relative position of a focus position in the head region cannot be known. On the basis of the original imaging diagram, fig. 2 manually frames a head area (as an example), and images in an ellipse are areas of interest, so that information such as the focus is at the approximate position of the head, the size of the head circumference of a patient and the like can be intuitively displayed, and useless information outside the head is removed. Fig. 3 is a schematic view of the location of a patient CT lesion, and region No. 4 is a bleeding region, which may correspond to the imaging view of the head region of the frame (inside the ellipse of fig. 2).
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a magnetic induction imaging method for automatically acquiring the outline of a detection target. On the basis of the original double-frequency algorithm, the head area is imaged and reserved through a head contour confirming algorithm, and useless information outside the head is removed, so that imaging is more visual and clear.
The method comprises the steps of extracting the appearance outline of a detected target by utilizing amplitude imaging, using a linear interpolation algorithm in data of an imaging result to improve the edge resolution, extracting contour lines according to the data after interpolation, primarily determining a rough outline, further determining the outline center and the major axis and the minor axis of an ellipse according to the outline, and determining a final outline.
The invention is realized by the following technical scheme:
the invention discloses a magnetic induction imaging method for automatically acquiring the outline of a detection target, which comprises the following steps of:
the method comprises the steps of extracting an appearance outline of a detected target by utilizing amplitude imaging, using a linear interpolation algorithm in data of an imaging result, improving edge resolution, extracting contour lines according to the data after interpolation, preliminarily determining a rough outline according to the outermost contour lines, determining an outline center and a major axis and a minor axis of an ellipse according to the outline, and determining a final outline.
As a further improvement, the imaging method of the present invention comprises the steps of:
1) Selecting one frequency according to the acquired data of a plurality of frequencies of the magnetic induction brain impedance imager, and calculating a rough object external contour through the amplitude data of the measured object and the amplitude data of air; the magnetic induction brain impedance imager consists of 16 magnetic induction coils which are annularly and uniformly distributed and can emit and detect, and can detect the response of signals between every two coils with different frequencies;
2) Calculating interpolation according to the obtained rough imaging diagram data, and improving the resolution of the edge, so that the framed edge contour is more accurate;
3) According to the new data after interpolation, the data size is any one of 100 x 100, 200 x 200, 300 x 300, 400 x 400 and 500 x 500, the selection is carried out according to the actual resolution requirement, a contour line algorithm is used, and a contour line is used for determining an approximate contour;
4) And determining the coordinates of the center point of the measured object according to the rough contour, and approximating the contour of the measured object by using an elliptic equation.
As a further improvement, the specific steps of step 1) according to the invention are: the data collected by hardware is stored as TMD files, the TMD of the analysis data files is read, sweep frequency collection is carried out during collection, a plurality of frequencies are collected, each frequency is stored with one frame of data, and each frame of data can be read into a 512-byte header, 256-byte real part data and 256-byte imaginary part data, namely 256 complex data a+bi.
As a further improvement, the acquired data of the invention comprises two groups, wherein one group is amplitude data in the air, and the other group is amplitude data of a measured object.
As a further improvement, the invention calculates the amplitude according to the complex data a+biAnd then according to the amplitude data of the air and the amplitude data of the measured target, calculating the amplitude imaging data, wherein the calculation formula is as follows: l=20×lg (a obj /A air )，A obj For the measured target amplitude A air For air amplitude, the amplitude imaging data L is finally used for imaging, obtaining a rough representation of the outer contour of the object.
As a further improvement, step 2) of the present invention is specifically: the rough imaging image is composed of triangulation units, each triangulation unit is filled with gradient colors according to the values of the triangulation units, so that the imaging image is formed, the vertex of each triangulation unit has an imaging value, simple linear interpolation is carried out according to the imaging values, namely interpolation is carried out according to the barycentric coordinates inside the triangle, and the interpolation is carried out to obtain data with different resolutions of 100 x 100, 200 x 200, 300 x 300, 400 x 400, 500 x 500 and the like, so that the resolution of the imaging image is improved. As a further improvement, the specific steps of step 3) according to the invention are: according to the algorithm of the same value connecting line, the imaging graph uses the contour coils to output each layer of the measured object, and the contour line of the outermost ring is taken as the approximate outline.
As a further improvement, the specific steps of step 4) of the present invention are: according to the contour line, calculating the maximum and minimum values of coordinates (X, Y) of each point on the contour line, namely Xmax, xmin, ymax and Ymin, respectively representing the maximum value of the abscissa, the minimum value of the abscissa, the maximum value of the ordinate and the minimum value of the ordinate, wherein the X= (Xmax+Xmin)/2 of the abscissa of the center point and the Y= (Ymax+Ymin)/2 of the ordinate are respectively calculated, the short axis of the long axis is determined according to the distance from the point on the contour line of the outermost ring to the center point, the longest distance is half of the long axis, the shortest distance is half of the short axis, and finally, the standard equation of ellipse is useda represents half of the major axis, b represents half of the minor axis, x, y represents the abscissa and ordinate of the points on the ellipse to determine the final profile.
The beneficial effects of the invention are as follows:
the use of amplitude imaging in air can most accurately show the general contour of the object under test than phase, real, imaginary imaging. The linear interpolation algorithm is used for expanding imaging image data, so that the resolution of the edge of the measured object can be improved, the edge has richer details, more layers of gradient colors are provided, and the edge contour is more accurate. By using the contour line algorithm, each layer of contour can be well extracted according to multi-level gradient colors for a user to select, and finally, according to one layer of contour line, an elliptic equation is used to enable the contour line to be smoother and closest to the contour of a measured object (namely, a brain bag). Thus, after the outline of the head is displayed, the information such as the approximate position of the focus on the head, the size of the head circumference of the patient and the like can be intuitively displayed, and useless information outside the head is removed.
Drawings
FIG. 1 is a dual-frequency algorithmic image of a bleeding patient;
FIG. 2 is a view of a manually used oval frame head region imaging after imaging a bleeding patient using a dual-frequency algorithm;
FIG. 3 is a CT schematic view of a lesion position of a patient with hemorrhage, wherein the region No. 4 is an imaging diagram of the hemorrhage region;
FIG. 4 is a schematic diagram of a subdivision unit for imaging;
FIG. 5 is a diagram of a certain subdivision triangle cell;
FIG. 6 is a contour diagram of a head area of a bleeding party;
fig. 7 is a dual-frequency imaging diagram after using the head circumference contour confirmation algorithm of the present invention.
Detailed Description
The invention discloses a magnetic induction imaging method for automatically acquiring a detection target contour, which is characterized in that on the basis of an original double-frequency algorithm, a head area is imaged and reserved through a head contour confirmation algorithm, useless information except the head is removed, and the head contour confirmation algorithm is as follows:
the method comprises the steps of extracting an appearance outline of a detected target by utilizing amplitude imaging, using a linear interpolation algorithm in data of an imaging result to improve edge resolution, extracting contour lines according to the data after interpolation, primarily determining an approximate outline, determining an outline center and a major axis and a minor axis of an ellipse according to the outline, and determining a final outline.
The technical scheme of the invention is further described by the following specific examples:
(1) According to data of a plurality of frequencies collected by hardware, selecting one frequency, and calculating a rough object outline through amplitude data of a measured object and amplitude data of air:
the data collected by hardware is stored as TMD files, the TMD of the analysis data files is read, sweep frequency collection is carried out during collection, a plurality of frequencies are collected, each frequency is stored with one frame of data, and each frame of data can read 512 bytes of head, 256 bytes of real part data and 256 bytes of imaginary part data, namely 256 complex data a+bi. During the acquisition, two groups of data are acquired, one group is the sweep frequency data in the air, and the other group is the sweep frequency data of the measured object. Calculating the amplitude from the complex data a+biAccording to the amplitude data of the air and the amplitude data of the measured object, calculating the amplitude imaging data, wherein the calculation formula is as follows: l=20×lg (a obj /A air )，A obj For the measured target amplitude A air Is the air amplitude. And finally, imaging by using the amplitude imaging data L to obtain a rough representation of the outline of the object.
(2) Interpolation is calculated according to the obtained rough imaging diagram data, the resolution of the edge is improved, and the framed edge outline is more accurate:
the rough imaging diagram consists of triangulation units, each triangulation unit is filled with gradual change colors according to the values of the triangulation units, and fig. 4 is a schematic diagram of the imaged triangulation units; is a subdivision triangle unit for imaging. However, if it is determined directly from the values of the triangular units whether the triangular units are within the outline of the object to be measured, each triangular unit has only two cases, i.e., within the outline and outside the outline, so that the outline at the boundary between the inside and outside of the outline is formed by connecting the sides of the triangle, and thus the display is too rough. Interpolation is necessary, and each triangle vertex has an imaging value, and linear interpolation is performed according to the imaging values to interpolate data with different resolutions of 100×100, 200×200, 300×300, 400×400, 500×500, etc. to improve the resolution of the imaging image.
Interpolation algorithm example:
p.x = (1-u-v) p1.x+u p2.x+v p3.x equation one
P.y = (1-u-v) p1.y+u p2.y+v p3.y equation two
Fig. 5 is a diagram of a subdivision triangle, where coordinates (x, y) of four points P1, P2, P3 and imaging values (z) of three points P1, P2, P3 are known, and imaging values of P points are obtained. Let the weight of P2 be u and the weight of P3 be v, then the weight of P1 be 1-u-v. And solving u and v according to the formula I and the formula II, and finally obtaining an imaging value P.z = (1-u-v) P1.z+u.z+v.P3.z of the P point.
(3) From the interpolated 500 x 500 data, using a contour algorithm, a contour is determined using the contour: in the 500×500 data after interpolation, each layer of the measured object is formed by using a contour coil according to the algorithm of the same value connecting line, and fig. 6 is a contour diagram of the head area of a certain bleeding person, and the contour line of the outermost circle is taken as a rough contour.
(4) Determining the coordinates of the center point of the measured object according to the rough contour, and approximating the contour of the measured object by using an elliptic equation
Firstly, according to the contour line, calculating the maximum and minimum values of coordinates (X, Y) of each point on the contour line, namely Xmax, xmin, ymax and Ymin, respectively representing the maximum value of the abscissa, the minimum value of the abscissa, the maximum value of the ordinate and the minimum value of the ordinate, wherein the X= (Xmax+Xmin)/2 of the abscissa of the central point and the Y= (Ymax+Ymin)/2 of the ordinate are respectively calculated, the major axis and the minor axis are determined according to the distance from the point on the contour line of the outermost ring to the central point, the distance is half of the major axis at the maximum, half of the minor axis at the minimum, and finally, the standard equation of ellipse is usedThe final profile is determined.
Fig. 7 is a dual-frequency image of the head circumference contour confirmation algorithm of the present invention, wherein the head region of the patient, i.e., the interior of the ellipse, can be visually seen, and the bleeding site (i.e., the upper left corner region of the ellipse) can also be visually seen at the head position of the patient.
The foregoing is merely a preferred embodiment of the present invention, and the present invention is not limited to the above examples, and other modifications and variations, which are directly derived or suggested to those skilled in the art, should be considered to be included in the scope of the present invention without departing from the spirit and concept of the present invention.
Claims (1)
1. The magnetic induction imaging method for automatically acquiring the outline of the detection target is characterized in that on the basis of an original double-frequency algorithm, a head area is imaged and reserved through a head outline confirmation algorithm, useless information except the head is removed, and the head outline confirmation algorithm is as follows:
extracting the appearance outline of the detected target by utilizing amplitude imaging, using a linear interpolation algorithm in the data of an imaging result, improving the edge resolution, extracting contour lines according to the data after interpolation, preliminarily determining a rough outline according to the outermost contour lines, determining the outline center and the major axis and the minor axis of an ellipse according to the outline, and determining a final outline;
the imaging method comprises the following steps:
1) Selecting one frequency according to the acquired data of a plurality of frequencies of the magnetic induction brain impedance imager, and calculating a rough object external contour through the amplitude data of the measured object and the amplitude data of air;
2) Calculating interpolation according to the obtained rough imaging diagram data, and improving the resolution of the edge, so that the framed edge contour is more accurate;
3) According to the new data after interpolation, the data size is any one of 100 x 100, 200 x 200, 300 x 300, 400 x 400 and 500 x 500, the selection is carried out according to the actual resolution requirement, a contour line algorithm is used, and a contour line is used for determining an approximate contour;
4) Determining the coordinates of the center point of the measured target according to the rough contour, and approximating the contour of the measured target by using an elliptic equation;
the specific steps of the step 1) are as follows: the data collected by hardware is stored as TMD files, the TMD of the analysis data files is read, sweep frequency collection is carried out during collection, a plurality of frequencies are collected, each frequency is stored with one frame of data, and each frame of data can be read into a head of 512 bytes, real part data of 256 bytes and imaginary part data of 256 bytes, namely 256 complex data a+bi;
the acquired data comprise two groups, wherein one group is amplitude data in the air, and the other group is amplitude data of a measured object;
calculating the amplitude from the complex data a+biAnd then according to the amplitude data of the air and the amplitude data of the measured target, calculating the amplitude imaging data, wherein the calculation formula is as follows: l=20×lg (a obj /A air )，A obj For the measured target amplitude A air For the air amplitude, finally imaging by using amplitude imaging data L to obtain rough representation of the outer contour of the object;
the step 2) is specifically as follows: the rough imaging image is formed by triangulation units, each triangulation unit is filled with gradual change color according to the value of the triangulation unit to form an imaging image, the vertex of each triangulation unit has an imaging value, simple linear interpolation is carried out according to the imaging values, namely, interpolation is carried out according to the barycentric coordinates inside the triangle, and the interpolation is carried out to obtain data with different resolutions of 100 x 100, 200 x 200, 300 x 300, 400 x 400, 500 x 500 and the like, so that the resolution of the imaging image is improved;
the specific steps of the step 3) are as follows: according to the algorithm of the same value connecting line, taking the contour line of the outermost ring as a rough contour by using the contour coils of the imaging map to be out of each layer of the measured object;
the specific steps of the step 4) are as follows: according to the contour line, calculating the maximum and minimum values of coordinates (X, Y) of each point on the contour line, namely Xmax, xmin, ymax and Ymin, respectively representing the maximum value of the abscissa, the minimum value of the abscissa, the maximum value of the ordinate and the minimum value of the ordinate, wherein the X= (Xmax+Xmin)/2 of the abscissa and the Y= (Ymax+Ymin)/2 of the ordinate of the central point are calculated according to the point on the contour line of the outermost ringThe distance between the center points determines the major axis and the minor axis, the distance is half of the major axis, the shortest is half of the minor axis, and finally the standard equation of ellipse is useda represents half of the major axis, b represents half of the minor axis, x, y represents the abscissa and ordinate of the points on the ellipse to determine the final profile.
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