KR101635409B1 - Apparatus for tracing vessel and tracing method of the same of - Google Patents

Apparatus for tracing vessel and tracing method of the same of Download PDF

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KR101635409B1
KR101635409B1 KR1020150091315A KR20150091315A KR101635409B1 KR 101635409 B1 KR101635409 B1 KR 101635409B1 KR 1020150091315 A KR1020150091315 A KR 1020150091315A KR 20150091315 A KR20150091315 A KR 20150091315A KR 101635409 B1 KR101635409 B1 KR 101635409B1
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blood vessel
cylindrical
human body
body image
brightness model
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Korean (ko)
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장혁재
심학준
한동진
전병환
정성희
홍영택
장영걸
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연세대학교 산학협력단
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50—Clinical applications
    • A61B6/504—Clinical applications involving diagnosis of blood vessels, e.g. by angiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computerised tomographs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/46—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient
    • A61B6/461—Displaying means of special interest
    • A61B6/466—Displaying means of special interest adapted to display 3D data
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/46—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient
    • A61B6/467—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient characterised by special input means
    • A61B6/469—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient characterised by special input means for selecting a region of interest [ROI]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data

Abstract

The purpose of the present invention is to provide a vessel tracing device capable of tracing a vessel in a three-dimensional body image produced by a computer tomography device even if there is an obstacle such as a plaque in the vessel, and a vessel tracing method thereof. The present invention relates to the vessel tracing device. The vessel tracing device according to the present invention comprises: an image input unit to receive the three-dimensional body image produced by the computer tomography device; and a control unit to trace the vessel in the three-dimensional body image inputted in the image input unit by using a cylindrical vessel brightness model and a vessel tracing start point inputted in the input unit and to detect a branched start point of the vessel branched from the traced vessel.

Description

TECHNICAL FIELD [0001] The present invention relates to an apparatus for tracing vessels,

The present invention relates to a computer tomography image, and more particularly, to a blood vessel tracking apparatus and a blood vessel tracking method for tracking a blood vessel in a three-dimensional human body image generated by a computer tomography apparatus.

Generally, a computed tomography (CT) apparatus includes an X-ray generator, a data acquisition device composed of an X-ray detector and a DAS (data acquisition system), and an imaging device.

Such a computerized tomography apparatus is configured to allow a predetermined amount of x-rays to be transmitted through a human body by an x-ray generator, to measure the amount of x-rays transmitted through the human body by a data collecting apparatus and to convert the measured amount into a digital image signal, Thereby creating a tomographic image of the human body or a three-dimensional human body internal image.

A tomographic image or a three-dimensional image of a human body made by a computer tomography apparatus is used for detecting a lesion such as a heart disease or brain disease.

On the other hand, in order to detect a heart disease or cerebral disease, it is required to accurately track the geometric information of the heart or cerebral blood vessel and the position of the blood vessel.

According to such a request, Japanese Patent Application Laid-Open No. 1997-330413 discloses an example of a conventional blood vessel tracking method.

Hereinafter, a conventional blood vessel tracking method disclosed in the above publication will be described with reference to the drawings.

1 is a view for explaining a conventional blood vessel tracking method.

1, a conventional blood vessel tracking method includes selecting a point within a blood vessel V as a starting point S and selecting a straight line L having a predetermined length D1 around a selected starting point S as a radial , Calculates the average concentration of the straight line L, and tracks the blood vessel along the direction D of the straight line having the calculated average concentration value.

However, the conventional blood vessel tracking method has a problem that the blood vessel can not be traced when there is an obstacle such as a plaque in the blood vessel. That is, in the conventional blood vessel tracking method, the average concentration of the straight line is calculated and the blood vessel is traced, so that if there is an obstacle in the blood vessel, it is determined that there is no blood vessel and the blood vessel tracking is stopped.

Japanese Patent Laid-Open Publication No. 1997-330413 (entitled "Vascular Trace Processing Method, Disclosure Date: December 22, 1997)

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide an apparatus and a method for tracking a blood vessel in a three-dimensional human body image generated by a computed tomography apparatus even when an obstacle such as a plaque is present in a blood vessel And a method for tracking a blood vessel thereof.

According to another aspect of the present invention, there is provided a blood vessel tracking apparatus comprising: an image input unit receiving a three-dimensional human body image generated by a computer tomography apparatus; An input unit for receiving a blood vessel tracking start point by an operation of a user; And a control unit for tracking the blood vessel in the three-dimensional human body image input to the image input unit using the cylindrical blood vessel brightness model and the blood vessel tracking starting point input to the input unit and detecting a branch starting point of the blood vessel branched from the traced blood vessel .

The control unit receives the 3D human body image from the image input unit, receives the vessel tracking start point from the input unit, generates the cylindrical blood vessel brightness model, and sets the center of the cylindrical vessel brightness model to the vessel tracking start point Fitting the cylindrical blood vessel brightness model to a virtual blood vessel on the three-dimensional body image, determining whether the virtual blood vessel on the three-dimensional body image is a real porch, and determining whether the virtual blood vessel on the three- It may be to set a new vein tracing start point on the tracing direction which is the direction in which the axis of the cylindrical blood vessel brightness model is directed.

At this time, the control unit sequentially sets the center of the cylindrical blood vessel brightness model on a plane perpendicular to the tracking direction to a plurality of points of a circle having a predetermined radius centering on the vessel tracking start point, Dimensional human body image, determines whether there is a real blood vessel in the virtual blood vessels on the 3D human body image, and if it is judged that the real blood vessel exists in the virtual blood vessels on the three-dimensional human body image, Lt; / RTI >

On the other hand, the cylindrical blood vessel brightness model is composed of a plurality of points having different brightnesses, and the brightness of the points forming a straight line passing through the axis of the cylindrical blood vessel brightness model on a section perpendicular to the axis of the cylindrical blood vessel brightness model, The distance from the axis of the brightness model to the points may be obtained by substituting into the expression (1).

[Equation 1]

Figure 112015062218616-pat00001

Here, x is a distance from the axis S1 of the cylindrical blood vessel brightness model M to the points, f (x) is the brightness of the point located at x distance from the axis S1 of the cylindrical blood vessel brightness model M Where μ is the position of the axis S1 of the cylindrical blood vessel brightness model M on the straight line L passing the axis S1 of the cylindrical blood vessel brightness model M and σ is the standard deviation.

According to another aspect of the present invention, there is provided a blood vessel tracking method of a blood vessel tracking apparatus, comprising: receiving a three-dimensional human body image generated by a computer tomography apparatus in an image input unit; The control unit receiving an input of a vessel tracking start point from an input unit; The control unit generating a cylindrical blood vessel brightness model; Matching the center of the cylindrical blood vessel brightness model to the vessel tracing start point; Fitting the cylindrical blood vessel brightness model to a virtual blood vessel on the three-dimensional human body image by the controller; Determining whether the virtual blood vessel on the 3D human body image is a real porch; And setting a new blood vessel tracking start point on the tracking direction of the cylindrical blood vessel brightness model when the controller determines that the virtual blood vessel on the three-dimensional human body image is the actual porch.

Here, the step of fitting the cylindrical blood vessel brightness model to the virtual blood vessel on the 3D human body image may include fitting each of the points constituting the cylindrical blood vessel brightness model and brightness differences of the points of the 3D human body image corresponding thereto Axis rotation angle and the Y-axis rotation angle of the cylindrical blood vessel brightness model so that the sum is minimized, and the cylindrical blood vessel brightness model is rotated by the obtained Z-axis rotation angle and the Y-axis rotation angle.

The step of determining whether the virtual blood vessel on the 3D human body image is the actual porch may be further characterized in that the control unit determines whether the cylindrical blood vessel brightness model is fitted to the virtual blood vessel on the 3D human body image, And determining whether the sum of the brightness differences of the three-dimensional human body image and the brightness differences of the three-dimensional human body image is less than a predetermined value.

In addition, the control unit sequentially sets the center of the cylindrical blood vessel brightness model on a plane perpendicular to the tracking direction to a plurality of points on a circle having a predetermined radius around the center of the blood vessel tracking start point, Fitting a virtual blood vessel on a three-dimensional human body image; Determining whether there are blood vessels diverged from real blood vessels in the virtual blood vessels on the three-dimensional human body image; And if the controller determines that there are blood vessels branched from the real blood vessels in the virtual blood vessels on the 3D human body image, detecting the branching starting point of the blood vessel branched from the real blood vessels.

According to the blood vessel tracking device and the blood vessel tracking method of the present invention, when there is an obstacle such as a plaque in the blood vessel, the blood vessel can be traced in the three-dimensional human body image generated by the computer tomography apparatus .

1 is a view for explaining a conventional blood vessel tracking method.
2 is a block diagram illustrating a blood vessel tracking apparatus according to an embodiment of the present invention.
3 is a view illustrating a cylindrical blood vessel brightness model according to an embodiment of the present invention.
4 is a view for explaining a cylindrical blood vessel brightness model according to an embodiment of the present invention.
5 is a flowchart illustrating a blood vessel tracking method of a blood vessel tracking device according to an embodiment of the present invention.
6 to 8 are views for explaining a blood vessel tracking method of a blood vessel tracking device according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, which are intended to illustrate the present invention in a manner that will be readily apparent to those skilled in the art, And this does not mean that the technical idea and scope of the present invention are limited.

Hereinafter, a blood vessel tracking device according to an embodiment of the present invention will be described with reference to the drawings.

2 is a block diagram illustrating a blood vessel tracking apparatus according to an embodiment of the present invention.

Referring to FIG. 2, the blood vessel tracking apparatus 100 according to an embodiment of the present invention includes an image input unit 110 for receiving a three-dimensional human body image generated by a computer tomography apparatus, And a control unit 140 for tracking the blood vessel in the three-dimensional human body image using the input receiving unit 120 and the cylindrical blood vessel brightness model, and detecting the branch starting point of the blood vessel branched from the traced blood vessel. The apparatus may further include a display unit 130 for displaying a three-dimensional human body image input to the image input unit 120, a cylindrical blood vessel brightness model generated in the controller 140, and a blood vessel tracked by the controller 140 .

The computer tomography apparatus can be implemented as a computer tomography apparatus that outputs a three-dimensional human body internal image.

The image input unit 110 is connected to the computer tomography apparatus and receives the three-dimensional human body internal image captured by the computerized tomography apparatus directly from the computerized tomography apparatus or stores the three-dimensional human body internal image generated by the computerized tomography apparatus And can receive input from the storage device. Here, the storage device includes all storage devices capable of storing images such as a universal serial bus (USB) memory and an optical disk.

The input unit 120 may be implemented by a mouse that allows a user to indicate and input an initial starting point in a three-dimensional human body image displayed by the display device 130.

The display device 130 may be implemented as an apparatus capable of displaying an image, such as an LCD (liquid crystal display) or a plasma display panel (PDP). The display device 130 displays a three-dimensional human body image input to the image input unit 120 and a real blood vessel tracked by the controller 140.

The control unit 140 receives the three-dimensional human body image from the image input unit 110, receives the blood vessel tracking start point from the input unit 120, generates a cylindrical blood vessel brightness model, and sets the center of the cylindrical blood vessel brightness model to the vessel tracking start point The cylindrical blood vessel brightness model is fitted to the virtual blood vessel on the 3D human body image to determine whether the virtual blood vessel on the 3D human body image is the actual porch. If it is determined that the virtual blood vessel on the 3D human body image is the actual porch, A new vessel tracing start point is set on the tracking direction which is the direction of the axis of the vascular lightness model.

Then, the controller 140 sequentially sets the center of the cylindrical blood vessel brightness model to a plurality of points on the circle having a constant radius centering on the vessel tracing start point on a plane perpendicular to the tracking direction, It is judged whether there are blood vessels diverged from the real blood vessels in the virtual blood vessels on the three-dimensional body blood image. If it is judged that there are blood vessels diverging from the real blood vessels in the virtual blood vessels on the three-dimensional human body image, The branch start point of the branched blood vessel is detected.

The more detailed function of the controller 140 will be clarified by the description of the blood vessel tracking method of the blood vessel tracking device according to the embodiment of the present invention.

Hereinafter, a cylindrical blood vessel brightness model according to an embodiment of the present invention will be described in detail with reference to the drawings.

FIG. 3 is a view showing a cylindrical blood vessel brightness model according to an embodiment of the present invention, and FIG. 4 is a view for explaining a cylindrical blood vessel brightness model according to an embodiment of the present invention.

3 and 4, the cylindrical blood vessel brightness model M generated by the control unit 140 is composed of a plurality of points having different brightnesses, and is formed so as to be perpendicular to the axis S1 of the cylindrical blood vessel brightness model M The brightness of the points constituting the straight line L passing the axis S1 of the cylindrical blood vessel brightness model M on the inline section P is the distance x from the axis S1 of the cylindrical blood vessel brightness model M to the points, May be substituted into Equation (1).

[Equation 1]

Figure 112015062218616-pat00002

Here, x is a distance from the axis S1 of the cylindrical blood vessel brightness model M to the points, f (x) is the brightness of the point located at x distance from the axis S1 of the cylindrical blood vessel brightness model M Where μ is the position of the axis S1 of the cylindrical blood vessel brightness model M on the straight line L passing the axis S1 of the cylindrical blood vessel brightness model M and σ is the standard deviation. The brightnesses of the respective points constituting the straight line L passing through the axis S1 of the cylindrical blood vessel brightness model M have a normal distribution form as shown in Fig.

In the present invention, by using the cylindrical blood vessel brightness model (M) as described above, even when there is an obstacle such as a plaque in the blood vessel, the blood vessel can be traced in the three-dimensional human body image generated by the computer tomography apparatus .

Hereinafter, a blood vessel tracking method of a blood vessel tracking device according to an embodiment of the present invention will be described with reference to the drawings.

FIG. 5 is a flowchart illustrating a blood vessel tracking method of a blood vessel tracking apparatus according to an embodiment of the present invention, and FIGS. 6 and 7 illustrate a blood vessel tracking method of a blood vessel tracking apparatus according to an embodiment of the present invention .

5, the control unit 140 receives the three-dimensional human body image I (see FIGS. 6 and 7) generated by the computerized tomography apparatus in the image input unit 110 (301).

6, the control unit 140 receives a blood vessel tracking start point S of the three-dimensional human body image I input by the user through the input unit 120 (302).

Next, the control unit 140 generates a cylindrical blood vessel brightness model M composed of a plurality of dots (303).

Next, the control unit 140 matches the center C of the cylindrical blood vessel brightness model M to the blood vessel tracking start point S (304).

Next, the cylindrical blood vessel brightness model M is fitted to the virtual blood vessel VV on the three-dimensional body image I (305).

That is, as shown in FIG. 6, the Z-axis rotation angle of the cylindrical blood vessel brightness model M

Figure 112015062218616-pat00003
Figure 112015062218616-pat00004
) And the Y-axis rotation angle (
Figure 112015062218616-pat00005
Figure 112015062218616-pat00006
(M) of the cylindrical blood vessel brightness model (M) so as to minimize the sum of the differences between the respective points forming the cylindrical blood vessel brightness model (M) and the brightness differences of the three-dimensional human body image Rotation angle
Figure 112015062218616-pat00007
Figure 112015062218616-pat00008
) And the Y-axis rotation angle (
Figure 112015062218616-pat00009
Figure 112015062218616-pat00010
), And the cylindrical blood vessel brightness model (M)
Figure 112015062218616-pat00011
Figure 112015062218616-pat00012
) And the Y-axis rotation angle (
Figure 112015062218616-pat00013
Figure 112015062218616-pat00014
).

Next, the control unit 140 determines whether the virtual blood vessel VV on the three-dimensional body image I is a real blood vessel (306).

That is, in the state where the cylindrical blood vessel brightness model M is fitted to the virtual blood vessel VV on the three-dimensional body image I, the respective points constituting the cylindrical blood vessel brightness model M and the three- I) is less than or equal to a predetermined value. This is because the cylindrical blood vessel brightness model M is fitted to the virtual blood vessel VV on the three-dimensional human body image I and each of the points constituting the cylindrical blood vessel brightness model M and the three-dimensional human body image I The virtual vein VV on the three-dimensional human body image I is not similar to the cylindrical blood vessel brightness model M unless the sum of the differences in the brightness of the points of the three-dimensional human body image I is less than a certain value.

If it is determined that the virtual blood vessel VV on the three-dimensional body image I is not the real blood vessel, the control unit 140 returns to step 302 and the virtual blood vessel VV on the three- A new vessel tracing start point is set 307 on the tracking direction D toward the axis S1 of the cylindrical blood vessel brightness model M. [

Next, the control unit 140 sets the center C of the cylindrical blood vessel brightness model M on the plane P1 perpendicular to the tracking direction D with the starting point S as a center and a constant radius D1 (308) the cylindrical blood vessel brightness model (M) to the virtual blood vessel (VV) on the three-dimensional human body image (I) while sequentially matching the plurality of points (A1, A2, A3, A4) on the circle CC.

Next, the controller 140 determines whether there is a blood vessel branching from the real blood vessel that is being tracked among the virtual blood vessels (VV) on the three-dimensional body image I (309).

If it is determined that there are no blood vessels branched from the real blood vessels among the virtual blood vessels VV on the three-dimensional body image I, the control unit 140 returns to step 304, VV), it is detected 310 that the divergent start point of the divergent blood vessel exists. This makes it possible to detect the branching starting point of the blood vessel branching from the actual blood vessel.

Then, the control unit 140 determines whether the termination condition is satisfied (311). If the termination condition is not satisfied, the control unit 140 returns to step 302. [

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the scope of the invention as defined by the appended claims. will be. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: blood vessel tracking device 110:
120: input unit 130: display device
140:

Claims (8)

An image input unit for receiving the three-dimensional human body image generated by the computed tomography apparatus;
An input unit for receiving a blood vessel tracking start point by an operation of a user; And
A blood vessel tracking apparatus comprising: a blood vessel tracking unit for tracking a blood vessel in a three-dimensional human body image input to the image input unit using a cylindrical blood vessel brightness model and a blood vessel tracking starting point input to the input unit, Tracking device. The method according to claim 1,
Wherein the control unit receives the 3D human body image from the image input unit, receives the blood vessel tracking start point from the input unit, generates the cylindrical blood vessel brightness model, and adjusts the center of the cylindrical blood vessel brightness model to match the blood vessel tracking start point Dimensional human body image, fitting the cylindrical blood vessel brightness model to a virtual blood vessel on the three-dimensional human body image, determining whether the virtual blood vessel on the three-dimensional human body image is a real porch, And sets a new blood vessel tracking start point on a tracking direction that is a direction in which the axis of the cylindrical blood vessel brightness model is oriented. The method of claim 2,
Wherein the control unit sequentially adjusts the center of the cylindrical blood vessel brightness model to a plurality of points on a circle having a predetermined radius around a center of the blood vessel tracking starting point on a plane perpendicular to the tracking direction, Determining whether there is a real blood vessel in the virtual blood vessels on the 3D human body image and detecting a branching starting point of the real blood vessel when it is determined that virtual blood vessels are present in the virtual blood vessels on the 3D human body image Wherein the blood vessel tracking device is a blood vessel tracking device. The method according to any one of claims 1 to 3,
Wherein the cylindrical blood vessel brightness model comprises a plurality of points having different brightnesses,
The brightness of the points forming the straight line passing through the axis of the cylindrical blood vessel brightness model on the section perpendicular to the axis of the cylindrical blood vessel brightness model is obtained by substituting the distance from the axis of the cylindrical blood vessel brightness model to the point of the equation Characterized by a blood vessel tracking device.
[Equation 1]
Figure 112015062218616-pat00015

Here, x is a distance from the axis S1 of the cylindrical blood vessel brightness model M to the points, f (x) is the brightness of the point located at x distance from the axis S1 of the cylindrical blood vessel brightness model M Where μ is the position of the axis S1 of the cylindrical blood vessel brightness model M on the straight line L passing the axis S1 of the cylindrical blood vessel brightness model M and σ is the standard deviation. Receiving a three-dimensional human body image generated by a computed tomography apparatus in an image input unit;
The control unit receiving an input of a vessel tracking start point from an input unit;
The control unit generating a cylindrical blood vessel brightness model;
Matching the center of the cylindrical blood vessel brightness model to the vessel tracing start point;
Fitting the cylindrical blood vessel brightness model to a virtual blood vessel on the three-dimensional human body image by the controller;
Determining whether the virtual blood vessel on the 3D human body image is a real porch; And
And setting a new blood vessel tracking starting point on a tracking direction that the axis of the cylindrical blood vessel brightness model is set to when the controller determines that the virtual blood vessel on the three-dimensional human body image is a real porch. . The method of claim 5,
Wherein the step of fitting the cylindrical blood vessel brightness model to the virtual blood vessel on the 3D human body image comprises: calculating a sum of brightness difference values of the points of the cylindrical blood vessel brightness model and the points of the 3D human body image corresponding to the cylindrical blood vessel brightness model, Axis rotation angle and the Y-axis rotation angle of the cylindrical blood vessel brightness model to minimize the Z-axis rotation angle and the Y-axis rotation angle of the cylindrical blood vessel brightness model, Tracking method. The method of claim 5,
Wherein the controller determines whether the virtual blood vessel on the three-dimensional human body image is a real por- tion, the method comprising the steps of: obtaining the cylindrical blood vessel brightness model with the virtual blood vessel on the three- And determining whether the sum of differences in brightness of the points of the three-dimensional human body image corresponding to each of the three-dimensional human body images is equal to or less than a predetermined value. The method of claim 5,
Wherein the controller sequentially aligns the center of the cylindrical blood vessel brightness model with a plurality of points on a circle having a predetermined radius centering on the blood vessel tracking start point on a plane perpendicular to the tracking direction, Fitting a virtual blood vessel on a human body image;
Determining whether there are blood vessels diverged from real blood vessels in the virtual blood vessels on the three-dimensional human body image; And
Further comprising the step of detecting a branch starting point of a blood vessel branched from a real blood vessel when it is determined that there are blood vessels diverged from real blood vessels in virtual blood vessels on the 3D human body image, Tracking method.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020111557A1 (en) * 2018-11-26 2020-06-04 사회복지법인 삼성생명공익재단 Device and method for constructing blood vessel map, and computer program for executing said method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09330413A (en) 1996-06-13 1997-12-22 Hitachi Medical Corp Blood vessel tracking processing method
KR20090089158A (en) * 2008-02-18 2009-08-21 중앙대학교 산학협력단 Apparatus and method for tracking retinal vessel using canny edge detection method
KR20090131825A (en) * 2008-06-19 2009-12-30 한국과학기술원 Modeling based pharmacokinetic feature extraction for monitoring peripheral tissue perfusion
KR20110077740A (en) * 2009-12-30 2011-07-07 서울여자대학교 산학협력단 Apparatus and method for vessel and calcification extraction

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09330413A (en) 1996-06-13 1997-12-22 Hitachi Medical Corp Blood vessel tracking processing method
KR20090089158A (en) * 2008-02-18 2009-08-21 중앙대학교 산학협력단 Apparatus and method for tracking retinal vessel using canny edge detection method
KR20090131825A (en) * 2008-06-19 2009-12-30 한국과학기술원 Modeling based pharmacokinetic feature extraction for monitoring peripheral tissue perfusion
KR20110077740A (en) * 2009-12-30 2011-07-07 서울여자대학교 산학협력단 Apparatus and method for vessel and calcification extraction

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020111557A1 (en) * 2018-11-26 2020-06-04 사회복지법인 삼성생명공익재단 Device and method for constructing blood vessel map, and computer program for executing said method

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