KR101645966B1 - Apparatus for detecting vessel and tracing method of the same of - Google Patents

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

Info

Publication number
KR101645966B1
KR101645966B1 KR1020150089113A KR20150089113A KR101645966B1 KR 101645966 B1 KR101645966 B1 KR 101645966B1 KR 1020150089113 A KR1020150089113 A KR 1020150089113A KR 20150089113 A KR20150089113 A KR 20150089113A KR 101645966 B1 KR101645966 B1 KR 101645966B1
Authority
KR
South Korea
Prior art keywords
beige
curves
human body
dimensional
body image
Prior art date
Application number
KR1020150089113A
Other languages
Korean (ko)
Inventor
장혁재
심학준
한동진
전병환
정성희
홍영택
장영걸
Original Assignee
연세대학교 산학협력단
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 연세대학교 산학협력단 filed Critical 연세대학교 산학협력단
Priority to KR1020150089113A priority Critical patent/KR101645966B1/en
Priority to PCT/KR2015/006892 priority patent/WO2016208799A1/en
Application granted granted Critical
Publication of KR101645966B1 publication Critical patent/KR101645966B1/en

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/032—Transmission computed tomography [CT]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—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

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Optics & Photonics (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • High Energy & Nuclear Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Vascular Medicine (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Pulmonology (AREA)
  • Theoretical Computer Science (AREA)

Abstract

The present invention relates to a blood vessel detection device, and a blood vessel detection device according to the present invention includes an input unit for receiving a three-dimensional human body image captured by a computer tomography apparatus; A display device for displaying the three-dimensional human body image and blood vessels; And a controller for detecting a blood vessel in the 3D human body image input to the input unit using a plurality of third-order beige curves, and causing the display unit to display the 3D human body image and the detected blood vessel.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a blood vessel detecting apparatus,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a computer tomography image, and more particularly, to a blood vessel detection apparatus and a blood vessel detection method for detecting blood vessels in a computed tomography image.

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 allows an X-ray generator to transmit a predetermined amount of X-rays through a human body, converts the amount of X-rays transmitted through the human body into a digital image signal by a data acquisition device, reconstructs a digital image signal To produce a human tomographic image or a three-dimensional human body image.

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

On the other hand, in order to detect a heart disease or brain disease, it is required to accurately detect the geometric information of the blood vessel and the position of the blood vessel. In accordance with this demand, Japanese Patent Application Laid-Open No. 1997-330413 discloses an example of a conventional blood vessel detection method.

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

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

Referring to FIG. 1, a conventional blood vessel detecting method includes selecting a point within a blood vessel V as a starting point S, calculating a straight line L having a predetermined length D1 around a selected starting point S, The average concentration value of the straight line L is calculated and the blood vessel is detected along the radial direction D of the straight line having the average concentration value of the maximum value.

However, the conventional blood vessel detecting method simply detects blood vessels along a straight line. Accordingly, there is a problem that the conventional blood vessel detection method can not accurately detect the blood vessels bending in the three-dimensional human body image and the branching blood vessels branching from the main blood vessel. In other words, in the case of examining a blood vessel along a radial direction of a straight line, it can be recognized as a wall of a vein which is curved in a three-dimensional human body image and a wall of a vein branching from a branching vein Because.

Japanese Patent Application Laid-Open No. 1997-330413 (entitled " Vessel Detection Processing Method, Disclosure Date: December 22, 1997)

SUMMARY OF THE INVENTION It is an object of the present invention to provide a blood vessel detecting apparatus capable of accurately detecting a blood vessel bending arbitrarily in a three-dimensional human body image and a branching blood vessel branching from a detected blood vessel, And a method for detecting the blood vessel.

According to another aspect of the present invention, there is provided a blood vessel detecting apparatus comprising: an input unit for inputting a three-dimensional human body image created by a computer tomography apparatus; A display device for displaying the three-dimensional human body image and blood vessels; And a controller for detecting blood vessels in the three-dimensional human body image input to the input unit using a plurality of third-order beige curves, and causing the display device to display the detected blood vessel with the three-dimensional human body image.

The control unit may generate the plurality of third beige curves, position the starting point of each of the plurality of third beige curves at one point of the three-dimensional human body image input to the input unit, Dimensional beauties of each of the plurality of third beige curves in which the points constituting the three-dimensional human body image are matched to each of the plurality of third beige curves, Selecting three-dimensional beige curves having a blood vessel structural similarity greater than a predetermined value among the plurality of third-order beige curves, grouping the selected third-order beige curves, and displaying the grouped bead curves in the grouped three- The third beige curve may be to display an image displayed as a blood vessel.

According to another aspect of the present invention, there is provided a blood vessel detecting method of a blood vessel detecting apparatus including: inputting a three-dimensional human body image created by a computer tomography apparatus; The control unit generating a plurality of third-order beige curves; Positioning the start point of each of the plurality of third beige curves at one point of the three-dimensional human body image input to the input unit; Matching the points constituting the 3D human body image through each of the plurality of third beige curves to each of the plurality of third beige curves; Calculating the similarity of the vein structures of each of the plurality of third beige curves matched with the points constituting the three-dimensional human body image; The control unit selecting third beige curves having a blood vessel structural similarity greater than a predetermined value among the plurality of third beige curves; Grouping the selected plurality of tertiary beige curves by the control unit; And causing the display unit to display an image in which the third-order beige curves grouped into the three-dimensional human body image are displayed as blood vessels by the display unit.

Here, the step of generating the plurality of third-order beige curves may include the steps of: generating a three-dimensional bead curve function defined by Equation (1) as a three-dimensional starting point, first and second Dimensional control point and a three-dimensional end point to generate the plurality of third-order beige curves.

[Equation 1]

Figure 112015067679454-pat00155

Here, B (t) is a tertiary beige curve function, P is a jeomyigo start 3d, C 1 is the end point the first three-dimensional control jeomyigo, C 2 is the second 3D control jeomyigo, E is 3-D, t is Variable.

&Quot; (2) "

Figure 112015067679454-pat00156

delete

delete

Where C 1 is the first three-dimensional control point in the spherical coordinate system, C 2 is the second three-dimensional control point in the spherical coordinate system, E is the three-dimensional end point in the spherical coordinate system,

Figure 112015067679454-pat00025
Is the declination angle in the spherical coordinate system,
Figure 112015067679454-pat00027
Is the azimuth angle in the spherical coordinate system,
Figure 112015067679454-pat00029
Is the distance from the starting point P in the spherical coordinate system,
Figure 112015067679454-pat00031
Is the distance from the start point P to the end point E in the spherical coordinate system,
Figure 112015067679454-pat00033
Wow
Figure 112015067679454-pat00035
Dimensional control point (C1) and the second three-dimensional control point (C2) at the start point (P).

The calculating of the vascular structure similarity of each of the plurality of third beige curves matched with the points constituting the three-dimensional human body image may be performed by substituting the first to third vascular structure similar parameters into [Equation 3] .

&Quot; (3) "

Figure 112015060784308-pat00037

here,

Figure 112015067679454-pat00038
Is the vasculature degree of similarity between an i-th third beige curve (c ij) with j points, w 1, w 2, w 3 is the experimental weight obtained by, s is the i-th third beige curve with j points (c ij ), d is a second vascular structure-like parameter represented by the following equation (4), and l is a second vascular structure similar parameter represented by the following equation 5]. ≪ / RTI >

&Quot; (4) "

Figure 112015060784308-pat00040

Here, d is the second vascular structure-like parameter,

Figure 112015067679454-pat00041
Is the intensity value of the k-th point lying on the i-th tertiary beige curve (c i ) having j points,
Figure 112015067679454-pat00043
Is the average intensity value of the points lying on the curve estimated at the stage before the i-th third beige curve (c ij ) having j points.

&Quot; (5) "

Figure 112015060784308-pat00045

Where l is the third vessel structural similarity parameter,

Figure 112015067679454-pat00046
Is the length of the arc up to the k-th point on the i-th tertiary beige curve (c ij ) having j points,
Figure 112015067679454-pat00048
Is the length of the arc up to the (k + 1) th point on the i-th tertiary beige curve (c ij ) having j points.

According to the blood vessel detecting apparatus and the blood vessel detecting method of the present invention as described above, it is possible to accurately detect a blood vessel bending arbitrarily in a three-dimensional human body image and a branching blood vessel branching from the detected blood vessel.

1 is a view for explaining a conventional blood vessel detecting method.
2 is a block diagram illustrating a blood vessel detection apparatus according to an embodiment of the present invention.
3 is a flowchart illustrating a blood vessel detecting method of a blood vessel detecting apparatus according to an embodiment of the present invention.
4 to 7 are views for explaining a blood vessel detecting method of a blood vessel detecting apparatus 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.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a blood vessel detecting apparatus 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 detection apparatus according to an embodiment of the present invention.

2, a blood vessel detecting apparatus 100 according to an embodiment of the present invention includes an input unit 110 for receiving a 3D human body image created by a computer tomography apparatus, a display for displaying a 3D human body image and a blood vessel, A controller 120 for detecting a blood vessel in the three-dimensional human body image input to the input unit 110 using the apparatus 120 and a plurality of third-order beige curves and displaying the three-dimensional human body image and the blood vessel detected by the display apparatus 120 130).

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

The input unit 110 may be directly connected to the computed tomography apparatus to directly receive the three-dimensional human body image from the computerized tomography apparatus, or may receive input from a storage device that stores the three-dimensional human body image captured by the computerized tomography apparatus. 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 display device 120 may be implemented as a general display device capable of displaying an image, such as an LCD (liquid crystal display) or a PDP (plasma display panel). The display device 120 displays the three-dimensional human body image input to the input unit 110 and the blood vessel detected by the control unit 130.

The control unit 130 generates a plurality of third beige curves, positions the start points of each of the plurality of third beige curves at one point of the three-dimensional human body image input to the input unit 110, The points of the three-dimensional human body image passing through each of the curves are matched to each of a plurality of third beige curves, the similarity degree of each of the plurality of third beige curves matched with the points constituting the three-dimensional human body image is calculated, Third beige curves having a blood vessel structural similarity greater than a certain value among the third beige curves are selected, and the selected third beige curves are grouped. When the display device 120 displays a plurality of third beige curves grouped into a three-dimensional human body image Thereby displaying an image displayed as a blood vessel.

A more detailed function of the controller 130 will be described with reference to a blood vessel detecting method of a blood vessel detecting apparatus according to an embodiment of the present invention described below.

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

FIG. 3 is a flowchart illustrating a blood vessel detecting method of a blood vessel detecting apparatus according to an embodiment of the present invention, and FIGS. 4 to 7 illustrate a blood vessel detecting method of the blood vessel detecting apparatus according to an embodiment of the present invention .

Referring to FIG. 3, first, the input unit 110 receives a three-dimensional human body image created by a computed tomography apparatus (301). Here, the input unit 110 may be directly connected to the computed tomography apparatus to receive a three-dimensional human body image, or may be input from a storage device storing a three-dimensional human body image by a computerized tomography apparatus.

The controller 130 generates a plurality of cubic bezier curves 302 similar to the structure of the blood vessel as shown in FIG.

That is, the control unit 130 calculates a three-dimensional beige curve function defined by Equation (1) below as a three-dimensional start point (P), first and second A plurality of third-order beige curves B (t) are generated by substituting the three-dimensional control points (C 1 , C 2 ) and the three-dimensional end point (E)

[Equation 1]

Figure 112015067679454-pat00157

Here, B (t) is a tertiary beige curve function, P is a jeomyigo start 3d, C 1 is the end point the first three-dimensional control jeomyigo, C 2 is the second 3D control jeomyigo, E is 3-D, t is Variable.

&Quot; (2) "

Figure 112015067679454-pat00158

delete

delete

Where C 1 is the first three-dimensional control point in the spherical coordinate system, C 2 is the second three-dimensional control point in the spherical coordinate system, E is the three-dimensional end point in the spherical coordinate system,

Figure 112015067679454-pat00074
Is the declination angle in the spherical coordinate system,
Figure 112015067679454-pat00076
Is the azimuth angle in the spherical coordinate system,
Figure 112015067679454-pat00078
Is the distance from the starting point P in the spherical coordinate system,
Figure 112015067679454-pat00080
Is the distance from the start point P to the end point E in the spherical coordinate system,
Figure 112015067679454-pat00082
Wow
Figure 112015067679454-pat00084
Dimensional control point (C1) and the second three-dimensional control point (C2) at the start point (P).

On the other hand, the third-order beige curve B (t) generated by the control unit 130 is a three-dimensional curve on the basis of the start point, the control point, and the end point.

5, the control unit 130 determines whether or not the starting point P of each of the plurality of tertiary beige curves B (t) coincides with any one of the points constituting the three-dimensional human body image (303).

Next, the control unit 130 matches the points constituting the three-dimensional human body image through each of the plurality of third beige curves B (t) to a plurality of third beige curves B (t) (304).

Next, the control unit 130 determines whether or not each of the plurality of third beige curves B (t) corresponding to the points forming the three-dimensional human body image passing through each of the plurality of third beige curves B (t) The degree of similarity is calculated (305).

That is, the control unit 130 substitutes the first to third blood vessel structure similar parameters into the following equation (3) to calculate the blood vessel structure similarity.

&Quot; (3) "

Figure 112015060784308-pat00086

here,

Figure 112015067679454-pat00087
Is the vasculature degree of similarity between an i-th third beige curve (c ij) with j points, w 1, w 2, w 3 is the experimental weight obtained by, s is the i-th third beige curve with j points (c ij ), d is a second vascular structure-like parameter represented by the following equation (4), and l is a second vascular structure similar parameter represented by the following equation 5]. ≪ / RTI >

&Quot; (4) "

Figure 112015060784308-pat00089

Here, d is the second vascular structure-like parameter,

Figure 112015067679454-pat00090
Is the intensity value of the k-th point lying on the i-th tertiary beige curve (c i ) having j points,
Figure 112015067679454-pat00092
Is the average intensity value of the points lying on the curve estimated at the stage before the i-th third beige curve (c ij ) having j points.

&Quot; (5) "

Figure 112015060784308-pat00094

Where l is the third vessel structural similarity parameter,

Figure 112015067679454-pat00095
Is the length of the arc up to the k-th point on the i-th tertiary beige curve (c ij ) having j points,
Figure 112015067679454-pat00097
Is the length of the arc up to the (k + 1) th point on the i-th tertiary beige curve (c ij ) having j points.

Next, the control unit 130 selects (306) the tertiary beige curve B (t) having the vein structure similarity degree of which the blood vessel structure similarity degree is equal to or higher than a predetermined value, as shown in FIG.

Next, the control unit 130 groups the selected third order beige curves B (t) (307).

7, the control unit 130 causes the display device 120 to display an image in which the tertiary beige curves GB (t) grouped into a three-dimensional human body image are displayed as blood vessels ( 308).

As described above, the blood vessel detecting apparatus and the blood vessel detecting method according to an embodiment of the present invention use a third-order beige curve lying on a three-dimensional space similar to an actual blood vessel structure, The branching blood vessel branching from the detected blood vessel can be accurately detected.

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 detection device
110: input unit
120: display device
130:

Claims (5)

An input unit for receiving a three-dimensional human body image created by a computer tomography apparatus;
A display device for displaying the three-dimensional human body image and blood vessels; And
And a control unit for detecting blood vessels in the 3D human body image input to the input unit using a plurality of third-order beige curves and causing the display unit to display the detected blood vessel with the 3D human body image,
Wherein the control unit generates the plurality of third beige curves, positions the start point of each of the plurality of third beige curves at one point of the three-dimensional human body image input to the input unit, Dimensional human body image to each of the plurality of third-order beige curves, calculates the similarity of the vein structures of each of the plurality of third-order beige curves matched with the points constituting the three-dimensional human body image Selecting three-dimensional beige curves having a blood vessel structural similarity greater than a predetermined value among the plurality of third-order beige curves, grouping the selected third-order beige curves, and displaying the three- And the beige curve displays an image displayed as a blood vessel.
Blood vessel detection device. delete A step of receiving a three-dimensional human body image created by the input unit computed tomography apparatus;
The control unit generating a plurality of third-order beige curves;
Positioning the start point of each of the plurality of third beige curves at one point of the three-dimensional human body image input to the input unit;
Matching the points constituting the 3D human body image through each of the plurality of third beige curves to each of the plurality of third beige curves;
Calculating the similarity of the vein structures of each of the plurality of third beige curves matched with the points constituting the three-dimensional human body image;
The control unit selecting third beige curves having a blood vessel structural similarity greater than a predetermined value among the plurality of third beige curves;
Grouping the selected plurality of tertiary beige curves by the control unit;
Wherein the control unit causes the display unit to display an image in which the third-order beige curves grouped into the three-dimensional human body image are displayed as blood vessels. The method of claim 3,
Wherein the step of generating the plurality of tertiary beige curves comprises:
The first and second three-dimensional control points and the three-dimensional end point defined by the following formula (2) are substituted into the third-order beige curve function defined by the following formula (1) And generating a beige curve based on the detection result.
[Equation 1]
Figure 112015067679454-pat00159

Here, B (t) is a tertiary beige curve function, P is a jeomyigo start 3d, C 1 is the end point the first three-dimensional control jeomyigo, C 2 is the second 3D control jeomyigo, E is 3-D, t is Variable.
&Quot; (2) "
Figure 112015067679454-pat00160

Where C 1 is the first three-dimensional control point in the spherical coordinate system, C 2 is the second three-dimensional control point in the spherical coordinate system, E is the three-dimensional end point in the spherical coordinate system,
Figure 112015067679454-pat00123
Is the declination angle in the spherical coordinate system,
Figure 112015067679454-pat00125
Is the azimuth angle in the spherical coordinate system,
Figure 112015067679454-pat00127
Is the distance from the starting point P in the spherical coordinate system,
Figure 112015067679454-pat00129
Is the distance from the start point P to the end point E in the spherical coordinate system,
Figure 112015067679454-pat00131
Wow
Figure 112015067679454-pat00133
Dimensional control point (C1) and the second three-dimensional control point (C2) at the start point (P). The method of claim 3,
The step of calculating the similarity of the vein structures of each of the plurality of third beige curves matched with the points constituting the three-dimensional human body image,
Wherein the first to third blood vessel structure similar parameters are substituted into Equation (3).
&Quot; (3) "
Figure 112015067679454-pat00135

here,
Figure 112015067679454-pat00136
Is the vasculature degree of similarity between an i-th third beige curve (c ij) with j points, w 1, w 2, w 3 is the experimental weight obtained by, s is the i-th third beige curve with j points (c ij ), d is a second vascular structure-like parameter represented by the following equation (4), and l is a second vascular structure similar parameter represented by the following equation 5]. ≪ / RTI >
&Quot; (4) "
Figure 112015067679454-pat00138

Here, d is the second vascular structure-like parameter,
Figure 112015067679454-pat00139
Is the intensity value of the k-th point lying on the i-th tertiary beige curve (c i ) having j points,
Figure 112015067679454-pat00141
Is the average intensity value of the points lying on the curve estimated at the stage before the i-th third beige curve (c ij ) having j points.
&Quot; (5) "
Figure 112015067679454-pat00143

Where l is the third vessel structural similarity parameter,
Figure 112015067679454-pat00144
Is the length of the arc up to the k-th point on the i-th tertiary beige curve (c ij ) having j points,
Figure 112015067679454-pat00146
Is the length of the arc up to the (k + 1) th point on the i-th tertiary beige curve (c ij ) having j points.
KR1020150089113A 2015-06-23 2015-06-23 Apparatus for detecting vessel and tracing method of the same of KR101645966B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
KR1020150089113A KR101645966B1 (en) 2015-06-23 2015-06-23 Apparatus for detecting vessel and tracing method of the same of
PCT/KR2015/006892 WO2016208799A1 (en) 2015-06-23 2015-07-03 Blood vessel detection device and blood vessel detection method thereby

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150089113A KR101645966B1 (en) 2015-06-23 2015-06-23 Apparatus for detecting vessel and tracing method of the same of

Publications (1)

Publication Number Publication Date
KR101645966B1 true KR101645966B1 (en) 2016-08-08

Family

ID=56712026

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150089113A KR101645966B1 (en) 2015-06-23 2015-06-23 Apparatus for detecting vessel and tracing method of the same of

Country Status (2)

Country Link
KR (1) KR101645966B1 (en)
WO (1) WO2016208799A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101843992B1 (en) * 2017-11-30 2018-05-14 재단법인 구미전자정보기술원 Augmented reality based cannula guide system for interventional cardiology procedures and method thereof

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
US6148095A (en) * 1997-09-08 2000-11-14 University Of Iowa Research Foundation Apparatus and method for determining three-dimensional representations of tortuous vessels
KR20040015011A (en) * 2000-09-29 2004-02-18 뉴 헬스 사이언시즈 인코포레이티드 Systems and methods for assessing vascular health
JP2010274059A (en) * 2009-06-01 2010-12-09 Toshiba Corp Image diagnostic apparatus, image processing method, and x-ray ct apparatus

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5405045B2 (en) * 2008-05-07 2014-02-05 株式会社東芝 X-ray imaging apparatus and image processing apparatus
JP2012143435A (en) * 2011-01-13 2012-08-02 Shimadzu Corp Diagnostic image processing method
KR102106535B1 (en) * 2013-02-06 2020-05-06 삼성전자주식회사 Method, apparatus and system for generating model representing deformation of shape and location of organ in respiration cycle

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
US6148095A (en) * 1997-09-08 2000-11-14 University Of Iowa Research Foundation Apparatus and method for determining three-dimensional representations of tortuous vessels
KR20040015011A (en) * 2000-09-29 2004-02-18 뉴 헬스 사이언시즈 인코포레이티드 Systems and methods for assessing vascular health
JP2010274059A (en) * 2009-06-01 2010-12-09 Toshiba Corp Image diagnostic apparatus, image processing method, and x-ray ct apparatus

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101843992B1 (en) * 2017-11-30 2018-05-14 재단법인 구미전자정보기술원 Augmented reality based cannula guide system for interventional cardiology procedures and method thereof

Also Published As

Publication number Publication date
WO2016208799A1 (en) 2016-12-29

Similar Documents

Publication Publication Date Title
US8994720B2 (en) Diagnosis assisting apparatus, diagnosis assisting program, and diagnosis assisting method
US8849375B2 (en) System for detecting rotation angle of a catheter in an X-ray image
US20170042631A1 (en) Intra-operative medical image viewing system and method
CN107847135B (en) Intravascular imaging system interface and stent detection method
AU2013380987B2 (en) Stent visualization and malapposition detection systems, devices, and methods
US20150265251A1 (en) Apparatus and method for visualizing anatomical elements in a medical image
US20110262015A1 (en) Image processing apparatus, image processing method, and storage medium
US20160225181A1 (en) Method and apparatus for displaying medical image
JP2013150650A (en) Endoscope image diagnosis support device and method as well as program
US9968278B2 (en) Medical image measuring apparatus, method, and medium
JP6196951B2 (en) Ultrasonic diagnostic image generation apparatus and method
EP3338629A1 (en) Image processing apparatus and image processing method thereof
JP2019514631A5 (en)
JP5961504B2 (en) Virtual endoscopic image generating apparatus, operating method thereof, and program
CN114287955A (en) CT three-dimensional image generation method and device and CT scanning system
WO2021234907A1 (en) Image processing device, control method, and storage medium
WO2010018488A1 (en) Determining foreshortening optimal view maps taking into account the shape of the vessel cross-section in cardiovascular x-ray systems
KR101645966B1 (en) Apparatus for detecting vessel and tracing method of the same of
KR101762678B1 (en) Lesion area detecting device and method
US20240013385A1 (en) Medical system, method for processing medical image, and medical image processing apparatus
EP2823764B1 (en) Medical image processing device, method, and program
US9585569B2 (en) Virtual endoscopic projection image generating device, method and program
JP2011110357A (en) Image processing method, image processing apparatus and program
US9558589B2 (en) Medical image display apparatus, method, and program
EP2343687B1 (en) Tomographic image generating apparatus, tomographic image generating method, and program for generating tomographic images

Legal Events

Date Code Title Description
E902 Notification of reason for refusal
E701 Decision to grant or registration of patent right
GRNT Written decision to grant